Agent skill

Detecting Pass The Hash Attacks

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Detect Pass-the-Hash (T1550.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping…

Apache-2.0Auto-check passedSecurity

Install Detecting Pass The Hash Attacks

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-pass-the-hash-attacks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-pass-the-hash-attacks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-pass-the-hash-attacks .claude/skills/detecting-pass-the-hash-attacks && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-pass-the-hash-attacks
GitHub stars
34k
Token cost
~904 tokens
SKILL.md length
298 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Detect Pass-the-Hash (T1550.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping…

  • Works in 7 steps: Formulate Hypothesis: Define a testable… → Identify Data Sources: Determine which… → Execute Queries: Run detection queries… → …
  • Threat hunting for lateral movement via stolen NTLM hashes
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Detecting Pass The Hash Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect Pass-the-Hash (T1550.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping indicators. Use when threat hunting for lateral movement via stolen NTLM hashes, triaging EDR/SIEM alerts on suspicious NTLM logons, scoping compromise during incident response, or validating detection coverage in a purple team exercise.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Security, covering Security operations, Red teaming and adversary simulation and Incident response. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Threat hunting for lateral movement via stolen NTLM hashes
  • Triaging EDR/SIEM alerts on suspicious NTLM logons
  • Scoping compromise during incident response
  • Validating detection coverage in a purple team exercise

Example prompts

  • “/detecting-pass-the-hash-attacks”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
  2. Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
  3. Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
  4. Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
  5. Validate Findings: Distinguish true positives from false positives through contextual analysis.
  6. Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
  7. Document and Report: Record findings, update detection rules, and recommend response actions.

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting Pass The Hash Attacks loads about 904 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 298 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~904
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 298 words, ~904 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-pass-the-hash-attacks/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
detecting-pass-the-hash-attacks
description
Detect Pass-the-Hash (T1550.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping indicators. Use when threat hunting for lateral movement via stolen NTLM hashes, triaging EDR/SIEM alerts on suspicious NTLM logons, scoping compromise during incident response, or validating detection coverage in a purple team exercise.
domain
cybersecurity
subdomain
threat-hunting
tags
threat-hunting, mitre-attack, pass-the-hash, credential-access, t1550, proactive-detection
version
1.0
author
mahipal
license
Apache-2.0
d3fend_techniques
Token Binding, Execution Isolation, Restore Access, Application Protocol Command Analysis, Process Termination
nist_csf
DE.CM-01, DE.AE-02, DE.AE-07, ID.RA-05
mitre_attack
T1046, T1057, T1082, T1083, T1003

Detecting Pass The Hash Attacks

When to Use

  • When proactively hunting for indicators of detecting pass the hash attacks in the environment
  • After threat intelligence indicates active campaigns using these techniques
  • During incident response to scope compromise related to these techniques
  • When EDR or SIEM alerts trigger on related indicators
  • During periodic security assessments and purple team exercises

Prerequisites

  • EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
  • SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
  • Sysmon deployed with comprehensive configuration
  • Windows Security Event Log forwarding enabled
  • Threat intelligence feeds for IOC correlation

Workflow

  1. Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
  2. Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
  3. Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
  4. Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
  5. Validate Findings: Distinguish true positives from false positives through contextual analysis.
  6. Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
  7. Document and Report: Record findings, update detection rules, and recommend response actions.

Key Concepts

ConceptDescription
T1550.002Pass the Hash
T1550.003Pass the Ticket
T1078Valid Accounts

Tools & Systems

ToolPurpose
CrowdStrike FalconEDR telemetry and threat detection
Microsoft Defender for EndpointAdvanced hunting with KQL
Splunk EnterpriseSIEM log analysis with SPL queries
Elastic SecurityDetection rules and investigation timeline
SysmonDetailed Windows event monitoring
VelociraptorEndpoint artifact collection and hunting
Sigma RulesCross-platform detection rule format

Common Scenarios

  1. Scenario 1: Mimikatz sekurlsa::pth with stolen NTLM hash
  2. Scenario 2: Impacket psexec.py remote execution with hash
  3. Scenario 3: CrackMapExec hash spraying across hosts
  4. Scenario 4: WMI lateral movement via pass-the-hash

Output Format

Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1550.002
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/detecting-pass-the-hash-attacks of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Detecting Pass The Hash Attacks next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Detecting Pass The Hash Attacks compared with similar skills
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Azure Kusto Irqlmicrosoft/GitHub-Copilot-for-Azure255—~2.6kAutomated safety check: PassMIT
Ise Incident Responseautomateyournetwork/netclaw676—~3.4kAutomated safety check: PassApache-2.0
Councilwarpdotdev/common-skills6111 repos~1.8kAutomated safety check: PassMIT
Msp HelpdeskRTFM-IT-Services-LLC/msp-claude-skills115—~3.3kAutomated safety check: PassCustom licence

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Categories

Questions about Detecting Pass The Hash Attacks

What does Detecting Pass The Hash Attacks do?

Detect Pass-the-Hash (T1550.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping…. Detecting Pass The Hash Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping indicators.

When should I use Detecting Pass The Hash Attacks?

Detecting Pass The Hash Attacks fits situations like: threat hunting for lateral movement via stolen NTLM hashes; triaging EDR/SIEM alerts on suspicious NTLM logons; scoping compromise during incident response; validating detection coverage in a purple team exercise.

How do I install Detecting Pass The Hash Attacks in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-pass-the-hash-attacks -a claude-code`. Or copy the skill folder (skills/detecting-pass-the-hash-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-pass-the-hash-attacks in your project. Claude Code loads it when a task matches its description.

How do I install Detecting Pass The Hash Attacks in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-pass-the-hash-attacks -a codex`. Or copy the skill folder (skills/detecting-pass-the-hash-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-pass-the-hash-attacks in your project. Codex loads it when a task matches its description.

Can I use Detecting Pass The Hash Attacks in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-pass-the-hash-attacks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-pass-the-hash-attacks, .gemini/skills/detecting-pass-the-hash-attacks, .github/skills/detecting-pass-the-hash-attacks and .opencode/skills/detecting-pass-the-hash-attacks in your project.

What does Detecting Pass The Hash Attacks need to run?

Going by SKILL.md and its folder, Detecting Pass The Hash Attacks needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Detecting Pass The Hash Attacks access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Detecting Pass The Hash Attacks safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Detecting Pass The Hash Attacks use?

Detecting Pass The Hash Attacks is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting Pass The Hash Attacks use?

About 904 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Detecting Pass The Hash Attacks?

Skills that share tags, products or a category with Detecting Pass The Hash Attacks: Incident Response Network (LeoYeAI/openclaw-master-skills, 2.2k stars), Azure Kusto Irql (microsoft/GitHub-Copilot-for-Azure, 255 stars), Ise Incident Response (automateyournetwork/netclaw, 676 stars) and Council (warpdotdev/common-skills, 611 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting Pass The Hash Attacks?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.