Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
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Lukas Sismis ed47bf5dd8 dpdk: handle segmented mbufs in copy modes
Packets received in segmented mbufs that cannot be linearized are
inspected as a copy. In the copy modes (IPS/TAP), modifications made to
the copy (inline stream normalization, the replace keyword) did not
reach the mbufs, so the unmodified packet was forwarded. Chains larger
than the maximum packet size were truncated for inspection but
forwarded in full, and chains that could not be copied were forwarded
uninspected.

When Suricata modifies a copied packet, it now writes the data back to
the mbuf chain before transmitting it. Chains that cannot be inspected
in full or transmitted are dropped: chains larger than the maximum
packet size, chains with more segments than the copy interface can
transmit, and malformed chains.

Forwarding chains requires the multi-segment TX offload, which replaces
MBUF_FAST_FREE and selects a slower TX path on some NICs. As mbufs sized
from the MTU rarely lead to chains on physical NICs, forwarding them is
opt-in through the new tx-segmented-mbufs interface setting (default
false), which both copy interfaces must share. Without it, chains that
cannot be linearized are dropped in the copy modes.

The drops are counted in capture.dpdk.segmented_drops and
capture.dpdk.segmented_too_large. In IPS mode, they are also counted in
ips.blocked with the new capture_error drop reason, so that the drop
reasons explain the blocked packets.

Ticket: 6012
6 days ago
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doc dpdk: handle segmented mbufs in copy modes 6 days ago
ebpf src: doc: remove more double-space typos 10 months ago
etc dpdk: handle segmented mbufs in copy modes 6 days ago
examples rust/ffi: add flow accessors to flow wrapper 2 months ago
git-templates git: Add commit template 2 years ago
lua lua: create suricata.config lua lib 1 year ago
plugins ndpi: use flow access functions 2 months ago
python python/Makefile.am: fix file permissions of python/suricata/config/defaults.py 12 months ago
qa github-ci: add OpenBSD 7.9 build 3 weeks ago
rules pgsql: bound tx.responses (configurable) 2 months ago
rust http1: only disable decompression after too many bombs 1 week ago
scripts ci: check for enum integer keywords 3 weeks ago
src dpdk: handle segmented mbufs in copy modes 6 days ago
suricata-update suricata-update: install sample configuration files 3 years ago
.clang-format devguide: move into userguide as last chapter 5 years ago
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ChangeLog release: 8.0.1; update changelog 1 year ago
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libsuricata-config.in libsuricata-config: fix static library dependency order 2 years ago
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README.md

Suricata

Fuzzing Status codecov

Introduction

Suricata is a network IDS, IPS and NSM engine developed by the OISF and the Suricata community.

Resources

Contributing

We're happily taking patches and other contributions. Please see our Contribution Process for how to get started.

Suricata is a complex piece of software dealing with mostly untrusted input. Mishandling this input will have serious consequences:

  • in IPS mode a crash may knock a network offline
  • in passive mode a compromise of the IDS may lead to loss of critical and confidential data
  • missed detection may lead to undetected compromise of the network

In other words, we think the stakes are pretty high, especially since in many common cases the IDS/IPS will be directly reachable by an attacker.

For this reason, we have developed a QA process that is quite extensive. A consequence is that contributing to Suricata can be a somewhat lengthy process.

On a high level, the steps are:

  1. GitHub-CI based checks. This runs automatically when a pull request is made.
  2. Review by devs from the team and community
  3. QA runs from private QA setups. These are private due to the nature of the test traffic.

Overview of Suricata's QA steps

OISF team members are able to submit builds to our private QA setup. It will run a series of build tests and a regression suite to confirm no existing features break.

The final QA runs takes a few hours minimally, and generally runs overnight. It currently runs:

  • extensive build tests on different OS', compilers, optimization levels, configure features
  • static code analysis using cppcheck, scan-build
  • runtime code analysis using valgrind, AddressSanitizer, LeakSanitizer
  • regression tests for past bugs
  • output validation of logging
  • unix socket testing
  • pcap based fuzz testing using ASAN and LSAN
  • traffic replay based IDS and IPS tests

Next to these tests, based on the type of code change further tests can be run manually:

  • traffic replay testing (multi-gigabit)
  • large pcap collection processing (multi-terabytes)
  • fuzz testing (might take multiple days or even weeks)
  • pcap based performance testing
  • live performance testing
  • various other manual tests based on evaluation of the proposed changes

It's important to realize that almost all of the tests above are used as acceptance tests. If something fails, it's up to you to address this in your code.

One step of the QA is currently run post-merge. We submit builds to the Coverity Scan program. Due to limitations of this (free) service, we can submit once a day max. Of course it can happen that after the merge the community will find issues. For both cases we request you to help address the issues as they may come up.

FAQ

Q: Will you accept my PR?

A: That depends on a number of things, including the code quality. With new features it also depends on whether the team and/or the community think the feature is useful, how much it affects other code and features, the risk of performance regressions, etc.

Q: When will my PR be merged?

A: It depends, if it's a major feature or considered a high risk change, it will probably go into the next major version.

Q: Why was my PR closed?

A: As documented in the Suricata GitHub workflow, we expect a new pull request for every change.

Normally, the team (or community) will give feedback on a pull request after which it is expected to be replaced by an improved PR. So look at the comments. If you disagree with the comments we can still discuss them in the closed PR.

If the PR was closed without comments it's likely due to QA failure. If the GitHub-CI checks failed, the PR should be fixed right away. No need for a discussion about it, unless you believe the QA failure is incorrect.

Q: The compiler/code analyser/tool is wrong, what now?

A: To assist in the automation of the QA, we're not accepting warnings or errors to stay. In some cases this could mean that we add a suppression if the tool supports that (e.g. valgrind, DrMemory). Some warnings can be disabled. In some exceptional cases the only 'solution' is to refactor the code to work around a static code checker limitation false positive. While frustrating, we prefer this over leaving warnings in the output. Warnings tend to get ignored and then increase risk of hiding other warnings.

Q: I think your QA test is wrong

A: If you really think it is, we can discuss how to improve it. But don't come to this conclusion too quickly, more often it's the code that turns out to be wrong.

Q: Do you require signing of a contributor license agreement?

A: Yes, we do this to keep the ownership of Suricata in one hand: the Open Information Security Foundation. See http://suricata.io/about/open-source/ and http://suricata.io/about/contribution-agreement/