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detecting-lateral-movement-with-zeek

Analyze Zeek network logs to find lateral movement, when an intruder spreads between internal computers. Examine administrative file sharing, authentication across multiple hosts, and remote service operations to identify suspicious connections and reconstruct incident timelines.

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原文查看原文说明

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.

实测评分 未实测

查看安装方法

适用场景

  • Tracing spread to other computers after an initial compromise
  • Investigating unauthorized transfers to administrative shares
  • Finding one account authenticating to many internal hosts
  • Reconstructing incident timelines from network logs

包含的文件(8)

  • SKILL.md7.5 KB
  • assets/template.md4.3 KB
  • LICENSE11.0 KB
  • references/api-reference.md4.4 KB
  • references/standards.md818 B
  • references/workflows.md4.7 KB
  • scripts/agent.py19.0 KB
  • scripts/process.py5.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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
  • Investigating suspected NTLM account spray or Pass-the-Ticket attacks across the internal network
  • Monitoring SMB traffic for unauthorized file transfers to admin shares (C$, ADMIN$, IPC$)
  • Detecting remote service execution via DCE/RPC (PsExec, schtasks, WMI lateral patterns)
  • Building alerting rules for internal network anomalies in a Zeek-based NSMP deployment
  • Performing post-incident timeline reconstruction using Zeek logs as a network-level evidence source

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.

Prerequisites

  • Zeek 6.0+ deployed on a network tap or SPAN port monitoring internal VLAN traffic
  • Zeek SMB analyzer enabled (loaded by default: @load base/protocols/smb)
  • Zeek DCE/RPC analyzer enabled (@load base/protocols/dce-rpc)
  • Zeek Kerberos analyzer enabled (@load base/protocols/krb)
  • Python 3.8+ (standard library only)
  • Access to Zeek log directory (default: /opt/zeek/logs/current/)
  • Familiarity with Zeek TSV log format (fields separated by \t, header lines prefixed with #)

Workflow

Step 1: Verify Zeek Log Collection

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

Step 2: Parse conn.log for Internal Lateral Patterns

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'

Step 3: Analyze SMB Admin Share Access

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]);
}

Step 4: Detect DCE/RPC Remote Service Operations

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)'

Step 5: Detect NTLM Account Spray

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]);
}

Step 6: Run the Automated Analysis Agent

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

Verification

  • Confirm conn.log captures internal SMB (port 445) and DCE/RPC (port 135) connections with correct field parsing
  • Verify smb_mapping.log correctly logs admin share paths (C$, ADMIN$, IPC$)
  • Test with a known PsExec execution in a lab: expect to see SMB FILE_WRITE of the service binary followed by DCE/RPC svcctl CreateService
  • Validate NTLM log parsing by performing a test authentication and confirming username, domain, and success fields are captured; verify the NTLM Account Spray Zeek script generates a notice.log entry when the spray threshold is exceeded
  • Cross-reference Zeek alerts with Sysmon Event ID 1 (Process Creation) on the target host to confirm end-to-end detection
  • Verify the agent correctly handles both TSV and JSON Zeek log formats

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