Writes and validates Suricata/Snort IDS rules for network-based malware detection, covering rule anatomy, content/pcre matching, flow and threshold options, and common mistakes that cause false positives or no matches. Activates for requests to write a Suricata rule, create Snort signatures, or build network detection rules from IOCs or C2 patterns.
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Do not use broad content matches on common substrings that will flood alerts — anchor with
flow direction, ports, offsets, and uniqueness. This skill builds and lints rules; deploy them
through your IDS change process.
Choose action, protocol, addresses/ports, direction, and a unique msg, sid, and rev. Add
content/pcre matches anchored with http.uri, tls.sni, flow:established,to_server, and
offsets/depths.
python scripts/analyst.py lint rules.rules
Checks for required fields (msg, sid, rev, classtype), balanced quotes/parentheses,
non-anchored overly short content, and duplicate SIDs.
Add threshold/detection_filter, flowbits, and specific buffers (http.host, dns.query)
to scope matches.
Record what each rule detects and stage it for testing against a pcap before production.
msg, a unique sid, and a rev.content matches are anchored (buffer/offset/flow) rather than free-floating short strings.content:"GET" style matches creating massive false positives.flow:established and matching on unrelated traffic directions.references/api-reference.md for the linter.No reviews yet. Tell others what you thought.
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Reverses Android malware: unpacking APKs, decompiling DEX bytecode to readable Java, auditing the manifest for abused permissions and components, and locating dynamically loaded or native payloads. Activates for requests to analyze an APK, decompile DEX, or investigate a suspicious Android app.
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Analyzes API call traces from a sandbox or API monitor (JSON) to group calls by category, reconstruct high-level behaviors (process injection, file drops, network, crypto), and flag suspicious call sequences. Activates for requests to analyze an API trace, interpret sandbox API logs, or identify behavior from Win32/Native API calls.
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Analyzes Windows Authenticode signatures on PE files: checking for a signature, reading the signer certificate chain, detecting revoked/expired/stolen certs, and recognizing signature-stripping and catalog-signing abuse. Activates for requests to analyze a code signature, verify Authenticode, or assess signer trust on a PE.
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Analyzes banking trojan webinject configurations to extract targeted institutions, injected JavaScript/HTML, and data-theft hooks, mapping the fraud workflow. Activates for requests to analyze banking trojan webinjects, parse a webinject config, or map targeted banks and credential-theft injections.
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Analyzes Python-based malware packaged as PyInstaller/py2exe executables by detecting the packer, locating the embedded archive, and identifying bundled .pyc modules for extraction and decompilation. Activates for requests to analyze compiled Python malware, unpack a PyInstaller binary, or extract pyc modules from a frozen Python executable.
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Analyzes cryptojacking/coinminer malware by extracting mining pool endpoints (stratum), wallet addresses, algorithm and miner identifiers (XMRig and forks), and persistence or resource-control settings from static strings and config. Activates for requests to analyze a cryptominer, extract mining pool and wallet IOCs, or identify coinminer configuration.
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