Atlas / Skills / mukul975 / Analyzing Cobalt Strike Beacon Configuration

Analyzing Cobalt Strike Beacon ConfigurationCAUTION

skills/mukul975/analyzing-cobalt-strike-beacon-configuration

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
1.0
Hosts
—
License
Apache-2.0
Stars
33,870
01

Overview

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Read from source at commit 6c59587be632OBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: analyzing-cobalt-strike-beacon-configuration
description: Extract and analyze Cobalt Strike beacon configuration from PE files
  and memory dumps to identify C2 infrastructure, malleable profiles, and operator
  tradecraft.
domain: cybersecurity
subdomain: malware-analysis
tags:
- cobalt-strike
- beacon
- c2
- malware-analysis
- config-extraction
- threat-hunting
- red-team-tools
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
mitre_attack:
- T1071.001
- T1573.001
- T1090.004
- T1105
- T1027
---
# 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

Cobalt Strike beacons store their configuration as a blob of TLV (Type-Length-Value) entries within the .data section of the PE. Stageless beacons XOR the entire beacon code with a 4-byte key. The configuration blob itself uses a single-byte XOR key. Each TLV entry contains a 2-byte type identifier (e.g., 0x0001 for BeaconType, 0x0008 for C2Server), a 2-byte length, and variable-length data.

### Malleable C2 Profiles

The beacon configuration encodes the malleable C2 profile that dictates HTTP request/response transformations, including URI paths, headers, metadata encoding (Base64, NetBIOS), and data transforms. Analyzing these settings reveals how the beacon disguises its traffic to blend with legitimate web traffic.

### Watermark and License Identification

Each Cobalt Strike license embeds a unique watermark (4-byte integer) into generated beacons. Extracting the watermark can link multiple beacons to the same operator or cracked license. Known watermark databases maintained by threat intelligence providers map watermarks to specific threat actors or leaked license keys.

## Workflow

### Step 1: Extract Configuration with CobaltStrikeParser

```python
#!/usr/bin/env python3
"""Extract Cobalt Strike beacon config from PE or memory dump."""
import sys
import json

# Using SentinelOne's CobaltStrikeParser
# pip install dissect.cobaltstrike
from dissect.cobaltstrike.beacon import BeaconConfig

def extract_beacon_config(filepath):
    """Parse beacon configuration from file."""
    configs = list(BeaconConfig.from_path(filepath))

    if not configs:
        print(f"[-] No beacon configuration found in {filepath}")
        return None

    for i, config in enumerate(configs):
        print(f"\n[+] Beacon Configuration #{i+1}")
        print(f"{'='*60}")

        settings = config.as_dict()

        # Critical fields for incident response
        critical_fields = [
            "SETTING_C2_REQUEST",
            "SETTING_C2_RECOVER",
            "SETTING_PUBKEY",
            "SETTING_DOMAINS",
            "SETTING_BEACONTYPE",
            "SETTING_PORT",
            "SETTING_SLEEPTIME",
            "SETTING_JITTER",
            "SETTING_MAXGET",
            "SETTING_SPAWNTO_X86",
            "SETTING_SPAWNTO_X64",
            "SETTING_PIPENAME",
            "SETTING_WATERMARK",
            "SETTING_C2_VERB_GET",
            "SETTING_C2_VERB_POST",
            "SETTING_USERAGENT",
            "SETTING_PROTOCOL",
        ]

        for field in critical_fields:
            value = settings.get(field, "N/A")
            print(f"  {field}: {value}")

        return settings

    return None


def extract_c2_indicators(config):
    """Extract actionable C2 indicators from beacon config."""
    indicators = {
        "c2_domains": [],
        "c2_ips": [],
        "c2_urls": [],
        "user_agent": "",
        "named_pipes": [],
        "spawn_processes": [],
        "watermark": "",
    }

    if not config:
        return indicators

    # Extract C2 domains
    domains = config.get("SETTING_DOMAINS", "")
    if domains:
        for domain in str(domains).split(","):
            domain = domain.strip().rstrip("/")
            if domain:
                indicators["c2_domains"].append(domain)

    # Extract user agent
    indicators["user_agent"] = str(config.get("SETTING_USERAGENT", ""))

    # Extract named pipes
    pipe = config.get("SETTING_PIPENAME", "")
    if pipe:
        indicators["named_pipes"].append(str(pipe))

    # Extract spawn-to processes
    for arch in ["SETTING_SPAWNTO_X86", "SETTING_SPAWNTO_X64"]:
        proc = config.get(arch, "")
        if proc:
            indicators["spawn_processes"].append(str(proc))

    # Extract watermark
    indicators["watermark"] = str(config.get("SETTING_WATERMARK", ""))

    return indicators


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print(f"Usage: {sys.argv[0]} <beacon_file_or_dump>")
    
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeWARN
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (5 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (5)

MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:22
8: ("C2Server", "str"),
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:112
return {"error": "No beacon configuration found", "file": filepath}
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:153
c2 = config.get("C2Server", "")
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:181
findings.append({"level": "INFO", "detail": f"Low sleep time: {sleep}ms - high beacon frequency"})
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:183
findings.append({"level": "WARN", "detail": "No jitter configured - predictable beacon interval"})

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-cobalt-strike-beacon-configuration.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-076c59587be632CAUTIONB89first audit
05

Questions

What does the Analyzing Cobalt Strike Beacon Configuration skill do?

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Is Analyzing Cobalt Strike Beacon Configuration safe to install?

With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Analyzing Cobalt Strike Beacon Configuration access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

How current is this page?

The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

Advertisement