Analyzes a memory image with Volatility 3 to find malware: rogue processes, injected code, suspicious network connections, loaded modules, and persistence, then extracts artifacts for further analysis. Activates for requests to do memory forensics, analyze a RAM dump, or hunt malware in memory with Volatility.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Do not use Volatility plugins blindly without an order of investigation — start broad (processes, network) before deep per-process dumps.
pip install volatility3) with appropriate symbol tables.vol -f memory.raw windows.pslist
vol -f memory.raw windows.pstree
Look for unusual parents (Word spawning cmd/powershell), masquerading names
(scvhost.exe), processes with no disk path, and orphaned children.
vol -f memory.raw windows.malfind
malfind flags private, executable, RWX regions with no backing file — classic injection.
Note the PID and base address for dumping.
vol -f memory.raw windows.netscan
Correlate listening/established connections with suspicious PIDs and the C2 endpoints from other analysis.
Examine loaded DLLs (windows.dlllist), services, and registry (windows.registry.*) for
persistence and unexpected modules.
Dump the suspicious process or injected region for static/RE analysis:
vol -f memory.raw windows.dumpfiles --pid <pid>
The helper script parses Volatility's JSON renderer output to highlight injection candidates.
vol -f memory.raw -r json windows.malfind | python scripts/analyst.py malfind -
malfind correspond to anomalous processes from pstree.references/api-reference.md for the malfind output
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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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