analyzing-active-directory-acl-abuse SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
analyzing-active-directory-acl-abuse from 26zl/cybersec-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add 26zl/cybersec-toolkit/analyzing-active-directory-acl-abuse@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- 26zl/cybersec-toolkit
- Path
.claude/skills/analyzing-active-directory-acl-abuse/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jun 2, 2026
- Size
- 4,248 bytes
- Repository stars
- 87
- License
- MIT
Detect dangerous ACL misconfigurations in Active Directory using ldap3.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analyzing Active Directory ACL Abuse ## Overview Active Directory Access Control Lists (ACLs) define permissions on AD objects through Discretionary Access Control Lists (DACLs) containing Access Control Entries (ACEs). Misconfigured ACEs can grant non-privileged users dangerous permissions such as GenericAll (full control), WriteDACL (modify permissions), WriteOwner (take ownership), and GenericWrite (modify attributes) on sensitive objects like Domain Admins groups, domain controllers, or GPOs. This skill uses the ldap3 Python library to connect to a Domain Controller, query objects with their nTSecurityDescriptor attribute, parse the binary security descriptor into SDDL (Security Descriptor Definition Language) format, and identify ACEs that grant dangerous permissions to non-administrative principals. These misconfigurations are the basis for ACL-based attack paths discovered by tools like BloodHound. ## When to Use - When investigating security incidents that require analyzing active directory acl abuse - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type …
Read the whole file at its exact version.
How to install
mdr add 26zl/cybersec-toolkit/analyzing-active-directory-acl-abuse@sha256:e72ab21e752ec57aThe line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2jo2rtrzvyab7pgh)
0 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4248 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
26zl/cybersec-toolkit · 87 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2jo2rtrzvyab7pgh GET https://markdownregistry.com/api/v1/resolve?ref=26zl/cybersec-toolkit/analyzing-active-directory-acl-abuse GET https://markdownregistry.com/api/v1/blob/e72ab21e752ec57aff3ecd6b612add8c18b7df0b3ace10789209eeca1c01b2d5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from 26zl/cybersec-toolkit
Every file in 26zl/cybersec-toolkit