This cache was added in b6b4967aa, when there was no real Zoom support.
With 63f349319, a proper identification of multimedia stream has been
added, making this cache quite useless: any improvements on Zoom
classification should be properly done in Zoom dissector.
Tested for some months with a few 10Gbits links of residential traffic: the
cache pretty much never returned a valid hit.
Try to have a faster classification, on first packet; use standard extra
dissection data path for sub-classification, metadata extraction and
monitoring.
STUN caches:
* use the proper confidence value
* lookup into the caches only once per flow, after having found a proper
STUN classification
Add identification of Telegram VoIP calls.
Regardless of the name, the removed trace doesn't contain meaningful
Hangout traffic.
Remove last piece of sub-classifiction based only on ip addresses.
Try avoiding false positives: look for 3 RTP packets before classifing
the flow as such.
Add a generic function `is_rtp_or_rtcp()` to identify RTP/RTCP packets also
in other dissectors (see 3608ab01b commit message for an example)
For a lot of protocols, reduce the number of packets after which the
protocols dissector gives up.
The values are quite arbitary, tring to not impact on classification
Extend internal unit tests to handle multiple configurations.
As some examples, add tests about:
* disabling some protocols
* disabling Ookla aggressiveness
Every configurations data is stored in a dedicated directory under
`tests\cfgs`
2023-04-06 11:30:36 +02:00
Renamed from tests/result/adult_content.pcap.out (Browse further)
