Adcs Exposure Audit logo

Adcs Exposure Audit

Organization
zero-lab-ai
adcs-exposure-audit

Audits Active Directory Certificate Services configuration for dangerous certificate templates, PKI ACLs, enrollment interfaces, mapping policy, and identity escalation paths. Use during an authorized identity security review when assessing AD CS, certificate templates, enterprise CAs, or Certipy-style inventory without exercising an attack path.

Overview

Publisherzero-lab-ai
Repositoryskills
Skill nameadcs-exposure-audit
Stars
232
Forks
14
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zero-lab-ai on GitHub. Read the source before you install it.

Installation

Install the Adcs Exposure Audit 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.
    https://github.com/zero-lab-ai/skills/tree/main/plugins/identity-security/skills/adcs-exposure-audit
  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/zero-lab-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/identity-security/skills/adcs-exposure-audit .claude/skills/adcs-exposure-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adcs Exposure Audit 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 Adcs Exposure Audit 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 Adcs Exposure Audit 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.

AD CS exposure audit

AD CS issues are combinations. A broad enrollment ACL alone may be intended; the same ACL combined with an authentication purpose, requester-controlled identity, and weak issuance controls becomes an escalation surface. Record facts separately and derive the combinations.

When to Use

  • An authorized identity security review when assessing AD CS, certificate templates, enterprise CAs, or Certipy-style inventory without exercising an attack path.
  • Use only within explicit authorization and the stated rules of engagement.

When NOT to Use

  • Do not treat this skill as permission to access, test, or change a target.
  • Do not convert missing evidence into a clean result or a stronger claim.

Workflow

  1. Confirm the authorized domains, CAs, directory objects, and read-only collection actions. Do not request a certificate, relay authentication, coerce authentication, modify an object, or attempt certificate logon unless those actions are separately authorized.
  2. Inventory every enterprise CA and every template it publishes. Record CA flags, SID-extension policy, patch state, enrollment interfaces, administrative rights, HSM signing controls, and enrollment-agent restrictions.
  3. Record template publication, schema version, effective enrollment principals, subject-supply behavior, EKUs or application policies, approval, authorized signatures, SID-extension behavior, and issuance policy OIDs. For templates requiring authorized signatures, record the required registration-authority application policies.
  4. Record effective ACLs on templates, CA configuration, NTAuthCertificates, enrollment services, CA computer objects, and OID objects. Resolve nested membership before calling a principal low privilege.
  5. Record certificate mapping on every relevant domain controller and certificate-authenticating service. Include strong binding mode, enabled Schannel mapping methods, and explicit altSecurityIdentities mappings.

Interpretation rules

  • Treat template, CA, network, mapping, and directory-control findings as separate claims even when they form one path.
  • Strong KDC mapping can block a specific arbitrary-identity path while the source template remains dangerously broad for other certificate consumers.
  • HTTPS alone does not resolve NTLM relay exposure. Record Extended Protection and channel-binding enforcement.
  • A missing SID extension is a configuration exposure. Its exploitation path still depends on mapping policy or another identity-injection condition.
  • ManageCA, certificate-manager rights, template control, and PKI-object control are not interchangeable; report the authority actually observed.
  • Absence from the supplied inventory is unknown, not clean.

Rationalizations to reject

  • "Certipy did not label it vulnerable." Tool labels cannot replace the underlying template, ACL, CA, mapping, and endpoint facts.
  • "Full enforcement makes subject supply harmless." It constrains KDC mapping; other certificate consumers and chained configuration changes remain in scope.
  • "The right is expected, so it is safe." Expected Tier Zero authority still needs an accountable owner and evidence. Low-privilege authority is an exposure regardless of intent.
  • "We can prove it by requesting one certificate." A configuration audit does not create credentials or exercise identity paths without separate authorization.
  • "ESC numbering is the finding." Describe the actual control failure and conditions; catalogs evolve.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Adcs Exposure Audit AI skill do?

Audits Active Directory Certificate Services configuration for dangerous certificate templates, PKI ACLs, enrollment interfaces, mapping policy, and identity escalation paths. Use during an authorized identity security review when assessing AD CS, certificate templates, enterprise CAs, or Certipy-style inventory without exercising an attack path.

Why use Adcs Exposure Audit on TypingMind?

Because you install it once and use it with any model. Adcs Exposure Audit 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 Adcs Exposure Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zero-lab-ai/skills/tree/main/plugins/identity-security/skills/adcs-exposure-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Adcs Exposure Audit?

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 Adcs Exposure Audit?

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

Is the Adcs Exposure Audit AI skill free?

Yes. It is published on GitHub by zero-lab-ai 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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