external/anthropic-cybersecurity-skills/skills/detecting-lateral-movement-with-zeek/SKILL.md
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.
npx skillsauth add seikaikyo/dash-skills detecting-lateral-movement-with-zeekInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
Do not use as a standalone detection mechanism. Zeek sees network traffic only; combine with endpoint telemetry (Sysmon, EDR) for full visibility. Encrypted SMB3 traffic may limit Zeek's visibility into file-level details.
@load base/protocols/smb)@load base/protocols/dce-rpc)@load base/protocols/krb)/opt/zeek/logs/current/)\t, header lines prefixed with #)Confirm that Zeek is producing the required log files for lateral movement detection:
# Check that all required analyzers are producing logs
ls -la /opt/zeek/logs/current/conn.log
ls -la /opt/zeek/logs/current/smb_mapping.log
ls -la /opt/zeek/logs/current/smb_files.log
ls -la /opt/zeek/logs/current/dce_rpc.log
ls -la /opt/zeek/logs/current/kerberos.log
ls -la /opt/zeek/logs/current/ntlm.log
# Quick field check on conn.log
zeek-cut id.orig_h id.resp_h id.resp_p proto service < /opt/zeek/logs/current/conn.log | head -20
Identify connections between internal hosts on lateral-movement-associated ports:
# Extract SMB connections (port 445) between internal hosts
zeek-cut ts id.orig_h id.orig_p id.resp_h id.resp_p proto service duration orig_bytes resp_bytes \
< /opt/zeek/logs/current/conn.log \
| awk '$5 == 445 && $7 == "smb"'
# Extract DCE/RPC connections (port 135)
zeek-cut ts id.orig_h id.resp_h id.resp_p service \
< /opt/zeek/logs/current/conn.log \
| awk '$4 == 135'
# Extract WinRM connections (port 5985/5986)
zeek-cut ts id.orig_h id.resp_h id.resp_p service \
< /opt/zeek/logs/current/conn.log \
| awk '$4 == 5985 || $4 == 5986'
Detect access to administrative shares (C$, ADMIN$, IPC$) which is the primary vector for tools like PsExec:
# Check smb_mapping.log for admin share access
zeek-cut ts id.orig_h id.resp_h path share_type \
< /opt/zeek/logs/current/smb_mapping.log \
| grep -iE '(C\$|ADMIN\$|IPC\$)'
# Check smb_files.log for file writes to admin shares
zeek-cut ts id.orig_h id.resp_h action path name size \
< /opt/zeek/logs/current/smb_files.log \
| grep -i 'SMB::FILE_WRITE'
Deploy the following Zeek script to generate notice.log alerts on admin share access:
@load base/protocols/smb
@load base/frameworks/notice
redef enum Notice::Type += {
Admin_Share_Access
};
event smb1_tree_connect_andx_request(c: connection, hdr: SMB1::Header, path: string, service: string) {
if ( /\$/ in path )
NOTICE([$note=Admin_Share_Access,
$msg=fmt("Admin share access: %s -> %s (%s)", c$id$orig_h, c$id$resp_h, path),
$conn=c]);
}
Monitor for remote service creation and scheduled task registration via DCE/RPC:
# Look for service control manager operations (PsExec pattern)
zeek-cut ts id.orig_h id.resp_h endpoint operation \
< /opt/zeek/logs/current/dce_rpc.log \
| grep -iE '(svcctl|atsvc|ITaskSchedulerService)'
Analyze ntlm.log for authentication anomalies indicating credential reuse. Zeek's ntlm.log does not expose password hashes, so this detection identifies a single account authenticating to many hosts in a short window — the network signature of credential spraying tools like CrackMapExec:
# Extract NTLM authentications
zeek-cut ts id.orig_h id.resp_h username domainname server_nb_computer_name success \
< /opt/zeek/logs/current/ntlm.log
# Failed NTLM authentications (brute force or credential testing)
zeek-cut ts id.orig_h id.resp_h username success \
< /opt/zeek/logs/current/ntlm.log \
| awk '$5 == "F"'
# Sort by timestamp for timeline analysis
zeek-cut ts id.orig_h id.resp_h username success \
< /opt/zeek/logs/current/ntlm.log \
| sort -k1,1
Deploy the following Zeek script to generate notice.log alerts when a single
account touches more hosts than the threshold in a rolling window:
@load base/protocols/ntlm
@load base/frameworks/notice
redef enum Notice::Type += {
NTLM_Account_Spray
};
global ntlm_tracker: table[string] of set[addr] &create_expire=5min;
const spray_threshold = 3 &redef;
event ntlm_log(rec: NTLM::Info) {
if ( ! rec?$username || rec$username == "-" )
return;
if ( rec$username !in ntlm_tracker )
ntlm_tracker[rec$username] = set();
add ntlm_tracker[rec$username][rec$id$resp_h];
if ( |ntlm_tracker[rec$username]| >= spray_threshold )
NOTICE([$note=NTLM_Account_Spray,
$msg=fmt("NTLM account spray: %s -> %d hosts", rec$username, |ntlm_tracker[rec$username]|),
$sub=rec$username,
$conn=rec$id]);
}
Use the provided agent.py for comprehensive lateral movement detection:
python3 agent.py /opt/zeek/logs/current/
python3 agent.py /opt/zeek/logs/2026-03-18/ # Analyze a specific date
notice.log entry when the spray threshold is exceededtools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.