Analyzing Cobalt Strike Malleable Profiles

Instructions

Parse malleable C2 profiles to extract IOCs and detection opportunities using the

pyMalleableC2 library. Combine with JARM fingerprinting to identify C2 servers.

from malleablec2 import Profile

# Parse a malleable profile from file
profile = Profile.from_file("amazon.profile")

# Extract global options (sleep, jitter, user-agent)
print(profile.ast.pretty())

# Access HTTP-GET block URIs and headers for network signatures
# Access HTTP-POST block for data exfiltration patterns
# Generate JARM fingerprints for known C2 infrastructure

Key analysis steps:

1. Parse the malleable profile to extract HTTP-GET/POST URI patterns
2. Extract User-Agent strings and custom headers for IDS signatures
3. Identify sleep time and jitter for beaconing detection thresholds
4. Scan suspect IPs with JARM to match known C2 fingerprint hashes
5. Cross-reference extracted IOCs with network traffic logs

Examples

# Parse profile and extract detection indicators
from malleablec2 import Profile
p = Profile.from_file("cobaltstrike.profile")
print(p)  # Reconstructed source

# JARM scan a suspect C2 server
import subprocess
result = subprocess.run(
    ["python3", "jarm.py", "suspect-server.com"],
    capture_output=True, text=True
)
print(result.stdout)
# Compare fingerprint against known CS JARM hashes

Verification Criteria

Confirm successful execution by validating:

• [ ] All prerequisite tools and access requirements are satisfied
• [ ] Each workflow step completed without errors
• [ ] Output matches expected format and contains expected data
• [ ] No security warnings or misconfigurations detected
• [ ] Results are documented and evidence is preserved for audit

Compliance Framework Mapping

This skill supports compliance evidence collection across multiple frameworks:

• SOC 2: CC7.1 (Monitoring), CC7.2 (Anomaly Detection), CC7.3 (Incident Identification)
• ISO 27001: A.12.4 (Logging & Monitoring), A.16.1 (Security Incident Management)
• NIST 800-53: AU-6 (Audit Review), SI-4 (System Monitoring), IR-5 (Incident Monitoring)
• NIST CSF: DE.AE (Anomalies & Events), DE.CM (Continuous Monitoring)

Claw GRC Tip: When this skill is executed by a registered agent, compliance evidence is automatically captured and mapped to the relevant controls in your active frameworks.

Deploying This Skill with Claw GRC

Agent Execution

Register this skill with your Claw GRC agent for automated execution:

# Install via CLI
npx claw-grc skills add analyzing-cobalt-strike-malleable-profiles

# Or load dynamically via MCP
grc.load_skill("analyzing-cobalt-strike-malleable-profiles")

Audit Trail Integration

When executed through Claw GRC, every step of this skill generates tamper-evident audit records:

• SHA-256 chain hashing ensures no step can be modified after execution
• Evidence artifacts (configs, scan results, logs) are automatically attached to relevant controls
• Trust score impact — successful execution increases your agent's trust score

Continuous Compliance

Schedule this skill for recurring execution to maintain continuous compliance posture. Claw GRC monitors for drift and alerts when re-execution is needed.