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SKILL verified Apache-2.0 Self-run

Analyzing Rat Command And Control

skill-meltedinhex-analyst-ai-pack-analyzing-rat-command-and-control · by meltedinhex

Analyzes remote access trojan command-and-control by mapping the RAT command set,

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Install

$ agentstack add skill-meltedinhex-analyst-ai-pack-analyzing-rat-command-and-control

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Analyzing RAT Command and Control

When to Use

  • You have a RAT sample and need to map its command set (shell, file ops, screenshot, keylog,

webcam, proxy), C2 transport, and beacon parameters.

  • You are cataloging operator capabilities for detection and impact assessment.

Do not use this to operate the RAT or connect to its C2 — characterize capabilities from inert static analysis.

Prerequisites

  • The RAT sample (read inertly), optionally with an extracted config.

Safety & Handling

  • Read bytes statically; defang C2 endpoints; never connect to the C2.

Workflow

Step 1: Map command handlers and capabilities

python scripts/analyst.py profile sample.bin

Matches command-keyword and API patterns for capability classes: remote shell, file transfer, screenshot/keylog/webcam, persistence, proxy/relay, and self-update.

Step 2: Identify the C2 transport

Detect HTTP(S), raw TCP, TLS, DNS, or messaging-platform transport from imports/strings, plus beacon intervals/user-agents where present.

Step 3: Build the capability matrix

Summarize capabilities and transport, mapping to ATT&CK.

Step 4: Defang and report

Defang endpoints and produce IOCs.

Validation

  • Capabilities are grouped into classes with the matched evidence.
  • The C2 transport is identified from concrete imports/strings.
  • Findings map to ATT&CK T1219/T1071.

Pitfalls

  • Generic API presence (e.g., gdi32) misread as screenshot capability — corroborate with command

handlers.

  • Commodity RAT builders sharing strings across families — avoid over-attribution.
  • Encrypted command sets requiring config decryption first.

References

  • See [references/api-reference.md](references/api-reference.md) for the profiler.
  • ATT&CK T1219 and T1071 (linked in frontmatter).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.