detecting-lateral-movement-with-zeek
by mukul975detecting-lateral-movement-with-zeek is a Zeek-based cybersecurity skill for threat hunting and incident response. It helps detect SMB admin share access, DCE/RPC service creation, NTLM spray, Kerberos anomalies, and suspicious internal transfers using Zeek logs such as conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, ntlm.log, and kerberos.log.
This skill scores 84/100, which means it is a solid directory listing for users who need Zeek-based lateral-movement detection. The repository provides a real investigation workflow, explicit log types, and runnable Python scripts, so agents can trigger and execute it with far less guesswork than a generic prompt. Users should still expect some setup effort because the install path is not packaged as a one-command install and the skill assumes Zeek logs are already available.
- Concrete, Zeek-specific workflow: it names the exact logs used (conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, ntlm.log, kerberos.log) and maps them to lateral-movement techniques.
- Strong agent leverage: the repo includes executable scripts plus API/workflow references, giving an agent actionable steps instead of only prose.
- Good install decision value: the skill states when to use it and explicitly warns it is not a standalone detection mechanism, which helps users judge fit.
- No install command in SKILL.md, so users must integrate or run the scripts manually rather than relying on a packaged install flow.
- It depends on Zeek data already being present and on network visibility; the skill itself cannot detect host activity without those logs.
Overview of detecting-lateral-movement-with-zeek skill
detecting-lateral-movement-with-zeek is a Zeek-based cybersecurity skill for spotting internal movement after compromise. It helps analysts turn Zeek logs into evidence for SMB abuse, remote service execution, NTLM spray patterns, Kerberos anomalies, and suspicious host-to-host transfers. The main job is not generic network monitoring; it is detecting-lateral-movement-with-zeek for Threat Hunting when you already suspect an attacker may be pivoting inside the environment.
What this skill is best for
Use this detecting-lateral-movement-with-zeek skill when you have Zeek telemetry and need a faster path from raw logs to triage-ready findings. It is a good fit for incident responders, threat hunters, and detection engineers who want to investigate Windows lateral movement from the network side before jumping to endpoint data.
What it looks for
The workflow centers on Zeek evidence in conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, ntlm.log, and kerberos.log. That makes it useful for spotting admin share access, PsExec-style service creation, RDP pivots, and large internal transfers that may indicate staging or tool movement.
Why it is different
This skill is more operational than a normal prompt because it comes with scripts, reference workflows, and log-field mappings. That reduces guesswork when you need to identify which Zeek file matters, which fields to inspect, and which behaviors are worth escalating.
How to Use detecting-lateral-movement-with-zeek skill
Install and orient yourself
For detecting-lateral-movement-with-zeek install, add the skill with the repo-specific installer command shown in the source, then open SKILL.md first. After that, read references/workflows.md to understand the detection path, references/api-reference.md for Zeek log fields and CLI examples, and assets/template.md for triage structure. If you want the executable logic, inspect scripts/agent.py and scripts/process.py.
Give the skill the right inputs
The best detecting-lateral-movement-with-zeek usage starts with a narrow incident frame: suspected host, time window, internal network ranges, and any initial alert or compromise clue. Strong prompts mention the log set you actually have, such as conn.log plus smb_mapping.log, and the behavior you want confirmed, such as “identify SMB admin share access from one workstation to multiple peers between 13:00 and 14:00.”
Turn a vague goal into a useful prompt
Weak: “Find lateral movement in Zeek logs.”
Stronger: “Using detecting-lateral-movement-with-zeek, review conn.log, smb_mapping.log, and dce_rpc.log for one internal source host that accessed ADMIN$ shares, created a remote service, and made unusual 445/135 connections in the last 2 hours. Return likely tactics, supporting Zeek fields, and triage priorities.”
That format works better because it gives the skill the log scope, timeframe, and adversary behavior it should test.
Read files in this order
Start with SKILL.md for intent, then references/workflows.md for the detection sequence, references/standards.md for ATT&CK mapping, and references/api-reference.md for field names and supported ports. If you are adapting the logic, check scripts/process.py before modifying anything else, because it shows how the skill separates admin shares, conn anomalies, NTLM checks, and DCE/RPC analysis.
detecting-lateral-movement-with-zeek skill FAQ
Is this only for Zeek users?
Yes, the detecting-lateral-movement-with-zeek guide assumes Zeek logs are available. If you do not have Zeek on a span, tap, or sensor path that sees internal east-west traffic, this skill will be far less useful.
Can I use it without endpoint data?
You can, but with limits. The skill is strongest for network-level suspicion and hunt pivots; it should not be treated as proof of compromise by itself. If you have EDR, Windows event logs, or firewall data, combine them to confirm the host and user context.
Is it beginner-friendly?
Beginner-friendly for analysts who can recognize basic Windows traffic patterns, but not for someone who expects the skill to explain every concept from scratch. The most useful setup is a small, concrete hunting question and a known log bundle.
When should I not use it?
Do not use detecting-lateral-movement-with-zeek for encrypted-only visibility gaps, non-Windows lateral movement, or cases where you only need perimeter IDS-style detection. It is also not ideal if you need one-off generic threat hunting without Zeek field-level evidence.
How to Improve detecting-lateral-movement-with-zeek skill
Feed it narrower hunting questions
The best results come from a single tactic or short chain, not “analyze everything.” Ask for one of these at a time: SMB admin shares, DCE/RPC service creation, NTLM spray, Kerberos anomalies, or suspicious internal transfers. That keeps the output tied to a defensible hypothesis instead of a broad narrative.
Include the fields that matter
When you have the raw logs, provide timestamps, source and destination IPs, ports, usernames, share paths, endpoints, and error codes. Those details help the skill distinguish routine admin activity from lateral movement and prevent false positives from vague descriptions like “we saw lots of SMB.”
Validate against your environment
The biggest failure mode for detecting-lateral-movement-with-zeek is treating normal admin behavior as malicious. Improve output quality by telling the skill about known admin subnets, backup systems, jump hosts, and maintenance windows. That context changes whether a C$ access or remote service call is suspicious.
Iterate from suspicion to evidence
Use the first pass to identify likely source hosts and technique hypotheses, then rerun with a tighter slice of logs and a smaller timeframe. If the first output flags NTLM spraying, the next prompt should ask for the exact usernames, source diversity, and timing pattern so you can decide whether the activity is brute force, misconfiguration, or attack traffic.