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subtle malware discovery tool
malcontent detects supply-chain compromises and other malicious software. It has 3 modes of operation:
- ✨
diff
: show the risk-weighted capability drift between two versions of a program- ☝️ Our bread & butter: malcontent does this better than anyone else
- 🕵️♀️
analyze
: deep analysis of a program's capabilities - 🔍
scan
: find malicious content across a broad set of file formats
malcontent is a bit paranoid and prone to false positives. It is currently focused on finding threats that impact Linux and macOS platforms, but malcontent can also detect threats that impact other platforms.
- 16,000+ YARA detection rules
- Including third-party rules from companies such as Avast, Elastic, FireEye, Mandiant, Nextron, ReversingLabs, and more!
- Analyzes binaries from nearly any operating system (Linux, macOS, FreeBSD, Windows, etc.)
- Analyzes scripts (Python, shell, Javascript, Typescript, PHP, Perl, AppleScript)
- Analyzes container images
- Transparent archive support (apk, tar, zip, etc.)
- Multiple output formats (JSON, YAML, Markdown, Terminal)
- Designed to work as part of a CI/CD pipeline
- Supports air-gapped networks
Scan directories for possible malware. This is our simplest feature, but not particularly novel either. malcontent is pretty paranoid in this mode, so expect some false positives:
You can also scan a container image: mal scan -i cgr.dev/chainguard/nginx:latest
Useful flags:
--include-data-files
: Include files that do not appear to be programs--processes
: scan active process binaries (experimental)
To analyze the capabilities of a program, use mal analyze
. For example:
The analyze mode emits a list of capabilities often seen in malware, categorized by risk level. It works with programs in a wide variety of file formats and scripting languages.
CRITICAL
findings should be considered malicious. Useful flags include:
--format=json
: output to JSON for data parsing--min-risk=high
: only show high or critical risk findings
To detect unexpected capability changes, try diff
mode. This allows you to find far more subtle attacks than a general scan, as you generally have both a baseline "known good" version and the context to understand what capabilities a program needs to operate.
Using the 3CX Compromise as an example, we're able to use malcontent to detect malicious code inserted in an otherwise harmless library:
Each line that begins with a "++" represents a newly added capability. You can use it to diff entire directories recursively, even if they contain programs written in a variety of languages.
For use in CI/CD pipelines, you may find the following flags helpful:
--format=markdown
: output in markdown for use in GitHub Actions--min-file-risk=critical
: only show diffs for critical-level changes--quantity-increases-risk=false
: disable heuristics that increase file criticality due to result frequency--file-risk-change
: only show diffs for modified files when the source and destination files are of different risks--file-risk-increase
: only show diffs for modified files when the destination file is of a higher risk than the source file
docker pull cgr.dev/chainguard/malcontent:latest
Requirements:
- yara - the rule language
- go - the programming language
- pkg-config - for dependency handling, included in many UNIX distributions
For example, to install the YARA library on Linux or macOS:
brew install yara || sudo apt install libyara-dev \
|| sudo dnf install yara-devel || sudo pacman -S yara
Install malcontent:
go install github.com/chainguard-dev/malcontent/cmd/mal@latest
malcontent is an honest-to-goodness open-source project. If you are interested in contributing, check out DEVELOPMENT.md. Send us a pull request, and we'll help you with the rest!