Statically analyzes Linux ELF malware: ELF header and sections, dynamic symbols and imports, segment permissions, embedded strings, and packing indicators to infer capability without execution. Activates for requests to analyze an ELF binary, Linux malware, or shared object.
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Do not use symbol absence as proof of nothing — stripped or statically linked Go/Rust binaries hide structure; switch to disassembly when static metadata is thin.
readelf/nm/strings (binutils) or pyelftools (pip install pyelftools).python scripts/analyst.py analyze sample.elf
Note class (ELF32/64), endianness, type (EXEC/DYN/REL), machine (x86-64, ARM, MIPS), and whether it is stripped.
Writable+executable segments, or a single large segment, suggest packing or self-modifying
code. Compare PT_LOAD permissions against expectations.
Imported functions hint at capability: socket/connect (network), ptrace (anti-debug or
injection), fork/execve (process control), crypt/EVP_* (encryption).
Static binaries lack a dynamic symbol table and NEEDED entries. High whole-file entropy and
a tiny section table suggest a packer (e.g. UPX leaves UPX! markers).
Check .init_array/constructors (code before main), and strings for paths, URLs, and shell
commands.
type and segment permissions are consistent with the inferred behavior..init_array, which run before main.references/api-reference.md for the ELF analyzer.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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