Individual skill
detecting-lateral-movement-with-zeek
Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, NTLM account spray activity, remote service execution, and anomalous internal connections.
internal/tools/skills/data/network-security/detecting-lateral-movement-with-zeek/SKILL.md
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- Instructions only
- Last checked
- Nov 9, 2026
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- 1,325
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- zeek Declared skill tag
- lateral-movement Declared skill tag
- smb Declared skill tag
- dce-rpc Declared skill tag
- ntlm-spray Declared skill tag
- network-forensics Declared skill tag
- engineering Derived category
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## Helper prerequisites
This bundled skill supplies methodology text; it does not install the local helper files invoked below. Before running a command using `agent.py` or a `scripts/` path, create that file from a complete implementation when one is supplied, or obtain and review the matching upstream helper. Check its `--help` and dependencies against the shown arguments. If no implementation is available, the invocation is a workflow illustration rather than a runnable command; use the documented underlying tools instead.
# Detecting Lateral Movement with Zeek
Analyze Zeek network logs to identify lateral movement techniques including
SMB admin share access, DCE/RPC remote service creation, NTLM account spray,
Kerberos ticket anomalies, and large internal data transfers indicative
of staging or exfiltration between hosts.
## When to Use
- Hunting for lateral movement after an initial compromise indicator is found on one endpoint