analyzing-cobalt-strike-beacon-configuration

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Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.

AI & Automation 40 stars 10 forks Updated today MIT

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# Analyzing Cobalt Strike Beacon Configuration ## Overview Cobalt Strike is a commercial adversary simulation tool widely abused by threat actors for post-exploitation operations. Beacon payloads contain embedded configuration data that reveals C2 server addresses, communication protocols, sleep intervals, jitter values, malleable C2 profile settings, watermark identifiers, and encryption keys. Extracting this configuration from PE files, shellcode, or memory dumps is critical for incident responders to map attacker infrastructure and attribute campaigns. The beacon configuration is XOR-encoded using a single byte (0x69 for version 3, 0x2e for version 4) and stored in a Type-Length-Value (TLV) format within the .data section. ## When to Use - When investigating security incidents that require analyzing cobalt strike beacon configuration - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Python 3.9+ with `dissect.cobaltstrike`, `pefile`, `yara-python` - SentinelOne CobaltStrikeParser (`parse_beacon_config.py`) - Hex editor (010 Editor, HxD) for manual inspection - Understanding of PE file format and XOR encoding - Memory dump acquisition tools (Volatility3, WinDbg) - Network analysis tools (Wireshark) for C2 traffic correlation ## Key Concepts ### Beacon Configuration Structure Cob...

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Author
26zl
Repository
26zl/cybersec-toolkit
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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