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.
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node --versiondetecting-lateral-movement-with-zeekExecute the skills CLI command in your project's root directory to begin installation:
Fetches detecting-lateral-movement-with-zeek from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate detecting-lateral-movement-with-zeek. Access via /detecting-lateral-movement-with-zeek in your agent's command palette.
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| name | detecting-lateral-movement-with-zeek |
| description | '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. ' |
| domain | cybersecurity |
| subdomain | network-security |
| tags | - zeek - lateral-movement - smb - dce-rpc - ntlm-spray - network-forensics |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - DE.CM-01 - ID.AM-03 - PR.DS-02 |
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 exceededPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
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mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
detecting-lateral-movement-with-zeek has been reliable in day-to-day use. Documentation quality is above average for community skills.
detecting-lateral-movement-with-zeek reduced setup friction for our internal harness; good balance of opinion and flexibility.
detecting-lateral-movement-with-zeek fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added detecting-lateral-movement-with-zeek from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: detecting-lateral-movement-with-zeek is focused, and the summary matches what you get after install.
detecting-lateral-movement-with-zeek is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
detecting-lateral-movement-with-zeek fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend detecting-lateral-movement-with-zeek for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
detecting-lateral-movement-with-zeek has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: detecting-lateral-movement-with-zeek is the kind of skill you can hand to a new teammate without a long onboarding doc.
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