Converts hunt findings into portable Sigma detection rules: choosing the right logsource, expressing robust selection/filter logic, setting level and ATT&CK tags, and validating before converting to a SIEM query. Activates for requests to write a Sigma rule, convert a hunt to a detection, or create portable SIEM detection logic.
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See how to installReview the instructions the agent will receive before you install.
Do not use Sigma for stateful/correlation logic it cannot express well (complex sequence or statistical detections) — keep those in the SIEM's native correlation engine.
sigma CLI / sigma-cli (pysigma) for validation and conversion.Pin category/product/service precisely (e.g., product: windows,
category: process_creation) so the rule maps to the right pipeline.
Express the detection on stable fields. Prefer multiple ANDed conditions over a single brittle
string; use contains/endswith modifiers thoughtfully to resist evasion.
python scripts/analyst.py scaffold --title "Encoded PowerShell" --category process_creation \
--technique T1059.001 --level high
Use a filter block (negated in the condition) to exclude known-good processes/paths rather
than narrowing selection until it misses variants.
Add tags (ATT&CK technique), level, status, references, and a falsepositives list so
consumers can tune.
Lint the rule, then convert to the target backend and test against true/false-positive data before deploying.
sigma convert -t splunk rules/encoded_powershell.yml
sigma check).falsepositives/filter, producing a noisy alert that gets ignored.references/api-reference.md for the Sigma scaffolder.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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