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capturing-and-analyzing-malware-network-traffic

Captures and analyzes malware network traffic from a detonation: extracting C2 endpoints, HTTP/DNS patterns, TLS metadata (JA3/SNI), and beaconing from a PCAP to build network IOCs and detection. Activates for requests to analyze malware PCAP, extract C2 from traffic, or study network behavior.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(4)

  • SKILL.md3.3 KB
  • LICENSE340 B
  • references/api-reference.md1.3 KB
  • scripts/analyst.py4.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Capturing and Analyzing Malware Network Traffic

When to Use

  • You detonated a sample and captured a PCAP on the services guest, and need to extract its network behavior.
  • You want C2 endpoints, HTTP/DNS patterns, TLS SNI/JA3, and beaconing intervals.
  • You are turning traffic observations into network IOCs and detection signatures.

Do not use a single capture as the full C2 picture — staged samples reveal more on longer runs or with the right context. Combine with binary config extraction.

Prerequisites

  • A PCAP captured from the isolated lab (capture on the analysis guest, not the victim).
  • tshark/Wireshark, or Zeek for connection logs, or the bundled PCAP summarizer.
  • The lab's simulated-internet IP so you can separate sample traffic from noise.

Safety & Handling

  • Capture from the services/analysis guest so the victim never hosts a sniffer.
  • Defang all extracted domains/IPs/URLs before sharing.

Workflow

Step 1: Get a connection overview

Summarize conversations and protocols to see who talks to whom and how often:

python scripts/analyst.py summarize capture.pcap

Step 2: Analyze DNS

List queried domains and resolved IPs. Look for DGA-like randomness, repeated NXDOMAIN, and long TXT records (possible tunneling).

Step 3: Inspect HTTP/HTTPS

For HTTP, examine URIs, methods, User-Agent (often unique/odd), and POST bodies. For HTTPS, extract SNI and JA3/JA3S fingerprints since payloads are encrypted.

Step 4: Detect beaconing

Compute inter-arrival times to the same destination. Regular intervals (with jitter) to one host indicate C2 check-ins.

Step 5: Build IOCs and detection

Produce a network IOC set (domains, IPs, URIs, JA3, User-Agent) and hand candidate signatures to the Suricata/Zeek detection workflow.

Validation

  • Beaconing intervals are consistent and tied to a specific destination, not random browsing.
  • Extracted SNI/JA3 reproduce across runs of the same sample.
  • DNS and HTTP observations corroborate the C2 endpoints found in the binary's config.

Pitfalls

  • Mistaking simulated-internet responses for real C2 behavior; know your lab's IPs.
  • Ignoring HTTPS because it is encrypted — SNI, JA3, and timing are still strong signals.
  • Treating one short capture as complete; some C2 only beacons periodically.

References

  • See references/api-reference.md for the PCAP summarizer and beaconing detector.
  • Wireshark and Zeek documentation (linked in frontmatter).

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