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Endpoint Credential Theft

Organization
CDESpace
Endpoint Credential Theft

Triage a host alert where an actor reaches for stored sign-in material — the in-memory credential store, the local account database, the directory database on a domain controller, saved browser logins, or authentication tickets. Reads the accessing process and the target to tell approved backup, forensics, or crash-handling apart from an attacker harvesting credentials, and decides escalate or dismiss.

Overview

PublisherCDESpace
RepositoryDetection-Skills
Skill nameEndpoint Credential Theft
Stars
57
Forks
5
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 CDESpace on GitHub. Read the source before you install it.

Installation

Install the Endpoint Credential Theft 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/CDESpace/Detection-Skills/tree/main/skills/triage/endpoint-credential-theft
  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/CDESpace/Detection-Skills.git /tmp/Detection-Skills
mkdir -p .claude/skills
cp -r /tmp/Detection-Skills/skills/triage/endpoint-credential-theft .claude/skills/cdespace-endpoint-credential-theft
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Endpoint Credential Theft 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 Endpoint Credential Theft 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 Endpoint Credential Theft 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.

Triage Steps

This is one of the highest-conviction classes on the endpoint: the goal of reaching into a credential store is unambiguous even when the tool is dual-use, and the legitimate causes are narrow and predictable. The thing to read is the pairing of accessing process and target — the in-memory credential store should be touched only by the OS and recognized security agents, and the account or directory database has a short list of programs that read it. Triage here is asking whether the process reaching in is one of those few expected readers, against a target whose sensitivity it is allowed to touch, or something that has no business there.

Start from this detection's track record on this process and host — a backup agent that reads the store nightly and always closes benign starts the call near dismiss — then read the leads below. None is required on its own; they stack, and one strong lead (a non-security process reading the in-memory store, a directory-replication pull from a non-DC account) can carry the call. When credential-based lateral movement co-fires — the same stolen credential appearing on multiple targets in a short window — this skill owns the primary call; the recon-lateral-movement skill supplements but does not displace it.

Leads that point to a real threat — what to look for in the data:

  • In-memory store read by the wrong process. The OS credential broker / authentication subsystem (LSASS) opened by anything that is not the OS or a recognized security agent — even if the binary name looks benign. A comsvcs.dll MiniDump call, or a known dumping toolmark (a specific process-name and command-line combination tied to credential-extraction tools), escalates without needing a confirmed threat-intel hit.
  • Account or directory database copied. The local account database (reg save hklm\sam, reg save hklm\system) or the domain directory database (ntds.dit copied via a volume snapshot) read off disk. Access to the directory database on a domain controller is categorically more urgent than the same action on a workstation.
  • Directory-replication or ticket request from the wrong account. A directory-replication (DCSync) pull from an account that is not a domain controller, or authentication-ticket requests from a machine account acting outside its scope or a user who is not an approved admin. The actor's authority over the target is the tell — the identity directory (role-assignments, directory-roles) tells you whether the account actually holds it.
  • Browser or secrets store read programmatically. The browser login-data database, an OS secrets vault, or a password-manager store read by any process other than the browser or vault agent itself, especially a non-interactive process reading it without a user-initiated unlock.

Leads that rule it out — benign context you can actually see in the data; if the data doesn't show it, you don't have it:

  • A recognized reader with a mandate. A confirmed backup product that legitimately reads credential stores, or IR/forensics tooling running under a documented and active engagement scoped to this host.
  • The crash-dump path holds. The accessing process matches a known crash-reporter or debugger, the access came immediately after a process-fault event on the same host, and no resulting dump went to an unexpected destination — all three together.
  • It matches the host's baseline. The same process reading the same store, on the same schedule, exists as known-good activity here already.
  • A documented test, scoped and active. A sanctioned red-team or authorized testing engagement on record for this host and window.

To confirm a lead instead of guessing, pull the thread: did a dump file land on disk, did the credential then authenticate to another host, or did the read follow a real process-fault event? Corroboration separates a crash-handler side effect from a harvest.

Output

Decision

  • escalate: any unrecognized process reading the in-memory credential store, any account- or directory-database copy, a directory-replication or ticket pull from the wrong account, or a programmatic browser or secrets-store read.
  • dismiss: a recognized backup, forensics, or crash-handler reader is confirmed under a documented window, the crash-dump conditions all hold, or it matches the host baseline. A dismiss is a positive call that the access to credential stores is benign, made with that context in hand — a recognized reader with a mandate you confirmed, a crash-dump pattern or baseline match you actually saw; an accessing process you couldn't recognize or a target you couldn't verify is not that context, and absence of a bad sign is not proof it's good. Dismiss is logged and reopenable; when the accessing process is unrecognized, the target is the directory database, or you're unsure, escalate.

Evidence

The accessing process and whether it is a recognized security or backup agent vs an unknown process or known-dumper toolmark, the target (in-memory store, local account database, directory database, ticket material, browser or secrets store), the actor's authority over that target, and the host's role from the asset inventory (domain controller, privileged-identity host, or workstation).

Reasoning

Name the leads that decided it and how they stacked — a non-security process calling MiniDump against the in-memory store is escalate on its own, while a confirmed backup agent reading the store on its nightly schedule with a clean history is dismiss.

Frequently asked questions

What does the Endpoint Credential Theft AI skill do?

Triage a host alert where an actor reaches for stored sign-in material — the in-memory credential store, the local account database, the directory database on a domain controller, saved browser logins, or authentication tickets. Reads the accessing process and the target to tell approved backup, forensics, or crash-handling apart from an attacker harvesting credentials, and decides escalate or dismiss.

Why use Endpoint Credential Theft on TypingMind?

Because you install it once and use it with any model. Endpoint Credential Theft 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 Endpoint Credential Theft in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CDESpace/Detection-Skills/tree/main/skills/triage/endpoint-credential-theft. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Endpoint Credential Theft?

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 Endpoint Credential Theft?

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

Is the Endpoint Credential Theft AI skill free?

Yes. It is published on GitHub by CDESpace 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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