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Hunt Credential Access

Community
dandye
hunt-credential-access

Hunt for credential access techniques like LSASS dumping or browser credential theft. Use when searching for evidence of credential harvesting. Takes MITRE technique IDs and searches for behavioral indicators in SIEM.

Overview

Publisherdandye
Repositoryai-runbooks
Skill namehunt-credential-access
Stars
126
Forks
34
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dandye on GitHub. Read the source before you install it.

Installation

Install the Hunt Credential Access AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dandye/ai-runbooks.git /tmp/ai-runbooks
mkdir -p .claude/skills
cp -r /tmp/ai-runbooks/skills/hunt-credential-access .claude/skills/hunt-credential-access
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Credential Access in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Credential Access on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Credential Access is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Credential Access TTP Hunt Skill

Proactively hunt for MITRE ATT&CK Credential Access techniques (T1003, T1555, etc.) based on threat intelligence or hypothesis.

Inputs

  • TECHNIQUE_IDS - Comma-separated MITRE technique IDs (e.g., "T1003.001,T1555.003")
  • TIME_FRAME_HOURS - Lookback period (default: 72)
  • (Optional) TARGET_SCOPE_QUERY - UDM query to narrow scope
  • (Optional) HUNT_HYPOTHESIS - Reason for the hunt
  • (Optional) HUNT_CASE_ID - SOAR case for tracking

Common Techniques

TechniqueDescription
T1003.001LSASS Memory
T1003.002Security Account Manager
T1003.003NTDS
T1003.004LSA Secrets
T1003.005Cached Domain Credentials
T1003.006DCSync
T1555.001Keychain
T1555.003Credentials from Web Browsers
T1555.004Windows Credential Manager

Workflow

Step 1: Research Techniques

For each technique in TECHNIQUE_IDS:

gti-mcp.get_threat_intel(query="Explain MITRE ATT&CK technique T1003.001")

Understand:

  • What the technique does
  • Common procedures/tools
  • Detection methods

Step 2: Develop Hunt Queries

T1003.001 - LSASS Memory Access:

udm
metadata.event_type = "PROCESS_LAUNCH" AND
target.process.file.full_path = "C:\\Windows\\System32\\lsass.exe"

Look for suspicious parent processes accessing lsass.exe.

T1003.001 - Known Dumping Tools:

udm
metadata.event_type = "PROCESS_LAUNCH" AND
(principal.process.command_line CONTAINS "mimikatz" OR
 principal.process.command_line CONTAINS "procdump" OR
 principal.process.command_line CONTAINS "sekurlsa")

T1555.003 - Browser Credential Files:

udm
metadata.event_type = "FILE_OPEN" AND
(target.file.full_path CONTAINS "Login Data" OR
 target.file.full_path CONTAINS "Web Data" OR
 target.file.full_path CONTAINS "cookies.sqlite") AND
principal.process.file.full_path NOT IN ("chrome.exe", "firefox.exe", "msedge.exe")

T1003.006 - DCSync:

udm
metadata.event_type = "DOMAIN_CONTROLLER_REPLICATION" AND
principal.hostname NOT IN @known_domain_controllers

General - Credential Dumping Tools:

udm
metadata.event_type = "PROCESS_LAUNCH" AND
(target.process.file.full_path CONTAINS "mimikatz" OR
 target.process.file.full_path CONTAINS "lazagne" OR
 target.process.file.full_path CONTAINS "pypykatz")

Combine with TARGET_SCOPE_QUERY if provided.

Step 3: Execute Searches

secops-mcp.search_security_events(text=query, hours_back=TIME_FRAME_HOURS)

Step 4: Analyze Results

Look for:

  • Low-prevalence events (unusual parent-child relationships)
  • Access from unexpected applications
  • Correlation with other suspicious activity
  • Known bad tool signatures

Step 5: Enrich Findings

If suspicious events found:

secops-mcp.lookup_entity(entity_value=USER_OR_HOST)

For file hashes:

gti-mcp.get_file_report(hash=HASH)

Step 6: Document Hunt

Use /document-in-case:

  • Techniques hunted with descriptions
  • Queries used
  • Findings (positive AND negative)
  • Enrichment results
  • Risk assessment

Step 7: Escalate or Conclude

Credential theft confirmed: → Trigger /respond-compromised-account for affected users → Escalate to incident response → Consider password resets for exposed credentials

No findings: → Document negative results → Confirm detection coverage for these techniques

Required Outputs

After completing this skill, you MUST report these outputs:

OutputDescription
FINDINGSDetected credential access activity (events, processes, files accessed)
DETECTED_TECHNIQUESMITRE techniques observed (e.g., T1003.001, T1555.003)
AFFECTED_ACCOUNTSAccounts potentially compromised (users whose credentials may be exposed)

Detection Gaps to Note

If queries return no results, consider:

  • Is the required telemetry being collected?
  • Are endpoint logs being forwarded to SIEM?
  • Do detection rules exist for these techniques?

Document gaps for security engineering follow-up.

Frequently asked questions

What does the Hunt Credential Access AI skill do?

Hunt for credential access techniques like LSASS dumping or browser credential theft. Use when searching for evidence of credential harvesting. Takes MITRE technique IDs and searches for behavioral indicators in SIEM.

Why use Hunt Credential Access on TypingMind?

Because you install it once and use it with any model. Hunt Credential Access is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Credential Access in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dandye/ai-runbooks/tree/main/skills/hunt-credential-access. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunt Credential Access?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Credential Access?

As many as you like. As long as a model supports skills, you can use Hunt Credential Access with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Credential Access AI skill free?

Yes. It is published on GitHub by dandye under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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