Now that MPM runs when the TX progress is right, stateful detection
operates differently.
Changes:
1. raw stream inspection is now also an inspect engine
Since this engine doesn't take the transactions into account, it
could potentially run multiple times on the same data. To avoid
this, basic result caching is in place.
2. the engines are sorted by progress, but the 'MPM' engine is first
even if the progress is higher
If MPM flags a rule to be inspected, the inspect engine for that
buffer runs first. If this step fails, the rule is no longer
evaluated. No state is stored.
Remove the 'StreamMsg' approach from the engine. In this approach the
stream engine would create a list of chunks for inspection by the
detection engine. There were several issues:
1. the messages had a fixed size, so blocks of data bigger than ~4k
would be cut into multiple messages
2. it lead to lots of data copying and unnecessary memory use
3. the StreamMsgs used a central pool
The Stream engine switched over to the streaming buffer API, which
means that the reassembled data is always available. This made the
StreamMsg approach even clunkier.
The new approach exposes the streaming buffer data to the detection
engine. It has to pay attention to an important issue though: packet
loss. The data may have gaps. The streaming buffer API tracks the
blocks of continuous data.
To access the data for inspection a callback approach is used. The
'StreamReassembleRaw' function is called with a callback and data.
This way it runs the MPM and individual rule inspection code. At
the end of each detection run the stream engine is notified that it
can move forward it's 'progress'.
Victor Julien
William Metcalf