Suricata is a free and open source, mature, fast and robust network threat detection engine.
The Suricata engine is capable of real time intrusion detection (IDS), inline intrusion prevention (IPS), network security monitoring (NSM) and offline pcap processing.
Suricata inspects the network traffic using a powerful and extensive rules and signature language, and has powerful Lua scripting support for detection of complex threats.
With standard input and output formats like YAML and JSON integrations with tools like existing SIEMs, Splunk, Logstash/Elasticsearch, Kibana, and other database become effortless.
Suricata’s fast paced community driven development focuses on security, usability and efficiency.
The Suricata project and code is owned and supported by the Open Information Security Foundation (OISF), a non-profit foundation committed to ensuring Suricata’s development and sustained success as an open source project.
Suricata alternatives and similar tools
Based on the "Security" category.
Alternatively, view Suricata alternatives based on common mentions on social networks and blogs.
9.2 9.4 L2 Suricata VS OSQuerySQL powered operating system instrumentation, monitoring, and analytics.
8.4 6.6 Suricata VS lynisLynis - Security auditing tool for Linux, macOS, and UNIX-based systems. Assists with compliance testing (HIPAA/ISO27001/PCI DSS) and system hardening. Agentless, and installation optional.
8.1 8.2 L2 Suricata VS Fail2BanDaemon to ban hosts that cause multiple authentication errors
7.3 2.5 L2 Suricata VS OSSECOSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.
7.3 9.6 Suricata VS CrowdSecCrowdSec - the open-source and participative IPS able to analyze visitor behavior & provide an adapted response to all kinds of attacks. It also leverages the crowd power to generate a global CTI database to protect the user network.
3.1 9.6 L3 Suricata VS SpamAssassinRead-only mirror of Apache SpamAssassin. Submit patches to https://bz.apache.org/SpamAssassin/. Do not send pull requests
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Suricata or a related project?
You can follow the Suricata user guide to get started.
We're happily taking patches and other contributions. Please see https://redmine.openinfosecfoundation.org/projects/suricata/wiki/Contributing 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:
Github-CI based checks. This runs automatically when a pull request is made.
Review by devs from the team and community
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.
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 here https://redmine.openinfosecfoundation.org/projects/suricata/wiki/Github_work_flow, 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/
*Note that all licence references and agreements mentioned in the Suricata README section above are relevant to that project's source code only.