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Version: 0.2.0

Configuration with Rules

Using Kunai to monitor every single event happening on a system is nice as it gives a very deep insight of what is going on. However, this approach generates loads of events. While it might be the way to go for some Kunai users, some others might be interested into detecting only very specific events (based on configurable rules) and show only those ones. This is exactly the topic we are going to tackle in this section of the documentation.

caution

When Kunai is configured with some detection/filtering rules, ONLY the events matching at least one rule will be shown.

info

I intentionally do not go too deep into the rule format as it will be part of a dedicated documentation in the gene-rs project

Detection Rules

Detection rules are made to detect suspicious/malicious security events happening on a running system.

tip

detection rules will make modifications to the matching events to provide information about the matching rule(s)

Example

Here after you can find an example of a detection rule to detect an execve event with a task name looking like a typical Linux kernel task name. This is a technique sometimes used by malware to hide themselves.

# name of the rule
name: mimic.kthread
# metadata information
meta:
# tags of the rule
tags: [ 'os:linux' ]
# MITRE ATT&CK ids
attack: [ T1036 ]
# authors of the rule
authors: [ 0xrawsec ]
# comments about the rule
comments:
- tries to catch binaries masquerading kernel threads
# acts as a pre-filter to speed up engine
match-on:
events:
# we match on kunai execve and execve_script event ids
kunai: [1, 2]
matches:
# 0x200000 is the flag for KTHREAD
$task_is_kthread: .info.task.flags &= '0x200000'
# common kthread names
$kthread_names: .info.task.name ~= '^(kworker)'
# if task is NOT a KTHREAD but we have a name that looks like one
condition: not $task_is_kthread and $kthread_names
# severity is bounded to 10 so it is the maximum score
severity: 10

If you want to try the above rule and see how Kunai behaves when loaded with detection rules, you can do it easily:

  1. dump the above rule in a file
  2. run sudo kunai -r path_to_your_file
  3. open another terminal and trigger the rule by executing cp /usr/bin/ls /tmp/kworker && /tmp/kworker

If you have made the experiment, you may have noted that when the rule matches the event is modified and contains a new section named detection.

View modified event

{
"data": {
"ancestors": "/usr/lib/systemd/systemd|/usr/bin/login|/usr/bin/zsh|/usr/bin/bash|/usr/bin/xinit|/usr/bin/i3|/usr/bin/bash|/usr/bin/urxvt|/usr/bin/zsh",
"parent_exe": "/usr/bin/zsh",
"command_line": "/tmp/kworker",
"exe": {
"file": "/tmp/kworker",
"md5": "5a657abb15a5c469936ec86f420f7b39",
"sha1": "5d08746413e0e5f3242fe768266e39796007ca2d",
"sha256": "b97ab6fabafba27199d50a190a2ad6513ccf8ee722558e86d2a45fd2ac535c67",
"sha512": "eed4577694e87932beff79898f7abe5dfb672b7d4d4c02a57d86f96f62826f92bdd1514c80e0329d4f9861946cfb80563584074d64fbaf4ce2ee386f28d55433",
"size": 137848
}
},
"detection": {
"rules": [
"mimic.kthread"
],
"tags": [
"os:linux"
],
"attack": [
"T1036"
],
"severity": 10
},
"info": {
...
"event": {
"source": "kunai",
"id": 1,
"name": "execve",
"uuid": "d21cc4e6-35f9-4193-e879-84fdd4ce74f3",
"batch": 12
},
"task": {
"name": "kworker",
"pid": 1368247,
"tgid": 1368247,
"guuid": "2d83bc47-d838-0300-a6a2-85b0b7e01400",
"uid": 1000,
"gid": 1000,
"namespaces": {
"mnt": 4026531841
},
"flags": "0x400000"
},
"parent_task": {
"name": "zsh",
"pid": 302186,
"tgid": 302186,
"guuid": "1ce53685-7339-0000-a6a2-85b06a9c0400",
"uid": 1000,
"gid": 1000,
"namespaces": {
"mnt": 4026531841
},
"flags": "0x400000"
},
"utc_time": "2023-12-11T10:04:49.301495661Z"
}
}

tip
  • if several rules match a single event, rule name(s) will appear in .detection.rules
  • matching rules' tags and attack (MITRE ATT&CK) ids will stack up respectively in .detection.tags and .detection.attack
  • severities of rules matching are summed and put in .detection.severity. Severity is bounded to 10.

Filtering Rules

Filtering rules on the other hand are made to select the logs we want Kunai to show. With those you can be very granular on the kind of logs you want to filter in/out. The difference between a detection and a filtering rule is very little, it is just a switch to toggle in the rule.

info

Events matching ONLY filtering rules will be shown as is, which means that there will not be any detection section in the event.

Example

Let's design a filtering rule to log every mprotect_exec event but the ones made by a browser. Indeed any software using JIT is very likely to turn some memory pages protection to execute code.

tip

mprotect_exec are interesting events to detect dynamic code execution, such as shellcode. However, those events may be very noisy if you have a browser running or any application making extensive use of JIT. So the following example can be used as a base for a custom configuration to observe unknown mprotect_exec events.

name: log.mprotect_exec
params:
# flag to set so that the rule is used as a filter
filter: true
match-on:
events:
# kunai mprotect_exec event id
kunai: [ 40 ]
matches:
# exe matches regex
$browser: .data.exe ~= '/usr/lib/(firefox/firefox|chromium/chromium)'
# if exe is neither firefox nor chromium
condition: not $browser
tip
  • Adapt the $browser match if needed
  • You can try to reverse the condition (remove not) and see the difference

Memo about Kunai Rules

  1. rules are written in YAML
  2. several rules can be defined in a single file (see YAML documents)
    • put a line with --- before rule starts and a line with ... after rule ends
  3. one can use Kunai with rules either from config or from cli
  4. a rule can either be a detection or a filtering rule
    • filtering rules output event as is
    • detection rules output event with detection information in .detection section
  5. match-on section is very important as it allows to quickly filter events
  6. every match in matches must be in the form $OPERAND: FIELD_PATH OPERATOR 'VALUE'
    • FIELD_PATHfield's absolute path starting with ., separated by .
    • OPERATOR:
      • == : equality operator
      • >=, <=, >, < : comparison operators VALUE must be a number
      • &= : flag checking operator VALUE must be a number
      • ~= : regex operator VALUE must be a string regex following syntax
    • every field value found at FIELD_PATH is expected to be of the same type than VALUE
  7. condition supports not, and and or keywords