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Zeek conn log analysis

Skill ShulkwiSEC/bb-huge/skills/curated/zeek-conn-log-analysis

bb-huge 🤗 , Personal bug bounty findings hub and bug bounty orchestration for multiple agents

Install
npx -y skills add ShulkwiSEC/bb-huge --skill zeek-conn-log-analysis

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Analyze Zeek (formerly Bro) `conn.log` files to hunt for malicious network behaviors, including C2 beaconing, long-lived anomalous connections, and data exfiltration patterns.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Zeek conn.log Analysis

When to Use

  • During network forensics investigations or active threat hunting to identify compromised hosts communicating with Command and Control (C2) infrastructure.
  • To detect unusual network baseline deviations without relying entirely on deep packet inspection or payload signatures.

Prerequisites

  • Forensic image or live access to the affected system(s)
  • Forensic workstation with analysis tools (Autopsy, Volatility, Timeline Explorer)
  • Chain of custody documentation initiated for evidence handling
  • Write-blocker for disk forensics or memory acquisition tool (e.g., DumpIt, WinPmem)

Workflow

Phase 1: Understanding conn.log Structure

# head conn.log | zeek-cut -c ts uid id.orig_h id.orig_p id.resp_h id.resp_p proto service duration orig_bytes resp_bytes conn_state

Phase 2: Hunting for C2 Beaconing (Frequency Analysis)

# cat conn.log | zeek-cut id.orig_h id.resp_h id.resp_p duration | \
awk '{print $1, $2, $3}' | sort | uniq -c | sort -nr | head -n 20

Phase 3: Identifying Long-Connections (Data Exfil / Interactive Shells)

# cat conn.log | zeek-cut id.orig_h id.resp_h id.resp_p duration orig_bytes resp_bytes | \
awk '$4 > 3600 {print $0}' | sort -nrk 4

Phase 4: Detecting Odd Port-Service Mismatches

# cat conn.log | zeek-cut id.resp_p service | grep -E '^443\s+http$' | less

# cat conn.log | zeek-cut id.resp_p service | grep -E '^80\s+ssl$' | less

Decision Point 🔀

flowchart TD
    A[Parse conn.log ] --> B{Anomalies Found ]}
    B -->|Yes| C[Correlate Logs ]
    B -->|No| D[Tune Heuristics ]
    C --> E[Isolate Host ]

🔵 Blue Team Detection & Defense

  • Automate Beacon Tracking (RITA / Zeek Detect): Threat Intelligence Feeds: Baseline Internal Traffic: Key Concepts | Concept | Description | |---------|-------------|

Output Format

Zeek Conn Log Analysis — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]

Findings Summary:
  [Finding 1]: [Severity] — [Brief description]
  [Finding 2]: [Severity] — [Brief description]

Detailed Results:
  Phase 1: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

  Phase 2: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
  1. [Immediate remediation step]
  2. [Long-term hardening measure]
  3. [Monitoring/detection improvement]

📚 Shared Resources

For cross-cutting methodology applicable to all vulnerability classes, see:

References

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