Endpoint Defense Evasion Tampering logo

Endpoint Defense Evasion Tampering

Organization
CDESpace
Endpoint Defense Evasion Tampering

Triage a host alert where the main act is weakening defenses or erasing evidence — disabling or excluding a security agent, stopping security logging, clearing event logs or command history, weakening a protective setting, or tampering with the scripting and tracing layers that feed detection. Reads who made the change and what fired alongside it to tell change-managed security maintenance apart from an attacker blinding the host, and decides escalate or dismiss.

Overview

PublisherCDESpace
RepositoryDetection-Skills
Skill nameEndpoint Defense Evasion Tampering
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 Defense Evasion Tampering 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-defense-evasion-tampering
  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-defense-evasion-tampering .claude/skills/cdespace-endpoint-defense-evasion-tampering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Endpoint Defense Evasion Tampering 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 Defense Evasion Tampering 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 Defense Evasion Tampering 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 class fires on actions IT teams take on purpose — adding security-agent exclusions, updating protective policy, stopping an agent for maintenance — so the change by itself is not the signal. Centrally managed exclusions and routine agent maintenance are the loudest benign source, and exclusion changes in particular are genuinely noisy because many teams manage them through the registry or a config file. The signal is who made the change, what the change targets, and what else fired on the host in the same window. Triage here is reading those three together and deciding whether this is routine security upkeep or someone turning down the lights before, during, or after something worse.

Start from this detection's track record on this actor and host — a heuristic that fires on every policy push 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 mass log clear, a log-forwarder stopped, tamper next to a credential dump) can carry the call. When mass log clearing co-fires with shadow-copy deletion or mass encryption on the same host, the destructive-impact skill owns that compound sequence; this skill defers to it when destruction co-signals are present.

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

  • Mass event-log clear. Logs wiped, especially across several channels in a short window: wevtutil cl Security, wevtutil cl System, Clear-EventLog, or a command-history wipe. Clearing logs has no routine cause and is high-confidence tamper regardless of who the actor is.
  • Log-forwarder or telemetry agent stopped. Stopping, reconfiguring, or uninstalling the component that ships events off the host — net stop, sc config ... start= disabled, or killing the forwarder service — kills downstream visibility. No non-administrative process has a sanctioned reason to do this; it is high-confidence on its own.
  • Exclusion pointing at a staging path. A security-agent exclusion added for a temp directory, a known payload staging path, or a folder created moments earlier in the same session: an exclusion path under \Temp, %PUBLIC%, or a just-written directory. A malicious or suspicious verdict on the hash of any file already in the excluded path makes it decisive. The target is the tell — an exclusion for a payload path is a strong escalator, where one for a signed vendor product path is not.
  • Scripting and tracing layer tampering. Disabling the scripting anti-malware interface or the event-tracing channels that feed detection (patching the in-memory check, disabling script logging). Blinding the layer that watches script execution has no benign automation reason.
  • Tamper alongside another tactic. Any of the above firing in the same host window as a credential dump, a download-and-execute, or destructive signals is a kill-chain indicator and escalates regardless of the tamper rule's own confidence.

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:

  • The actor explains it. A confirmed security or IT-operations identity — the identity directory (Graph/Okta users, directory-roles) confirms the role — making the change on a host the asset inventory (Axonius, managed-devices) shows as its expected management host, within a recognizable maintenance pattern.
  • It matches a managed-policy baseline. The change matches a known-good managed-policy entry for this host, or a vendor agent updating its own config under a documented install or update trigger.
  • Vendor path, signed target. An exclusion or setting change that points at a signed vendor product path, not a temp or payload folder.
  • Fleet-wide, not single-target. The identical exclusion or policy change lands across many hosts uniformly — the shape of a managed policy push, which applies broadly; tamper in an intrusion hits the one host the actor is on.
  • Clean history, nothing else in the window. A historically high-volume heuristic consistently closed benign for this binary, with no credential, download, or destruction signal anywhere in the window.

To confirm a lead instead of guessing, pull the thread: did the excluded path soon host a process launch, or did a credential read, download, or file-rename burst follow the tamper in the same window? Corroboration turns a noisy exclusion into a confirmed cover-up.

Output

Decision

  • escalate: a mass log clear, a log-forwarder or telemetry agent stopped, an exclusion pointing at a staging path, scripting or tracing layer tampering, or tamper firing alongside another tactic on the same host.
  • dismiss: a confirmed security or IT actor on its management host, a managed-policy baseline match, or a vendor self-update with a documented trigger explains it, the change targets a signed vendor path, and nothing else fired in the window. A dismiss is a positive call that the change is benign, made with that context in hand — a recognizable maintenance pattern you matched, a fleet-wide policy push you actually saw; an actor you couldn't confirm or a baseline pattern you couldn't establish is not that context, and absence of a bad sign is not proof it's good. Dismiss is logged and reopenable; when the actor is unexpected, the target is a staging path, anything co-fires, or you're unsure, escalate.

Evidence

The actor's role (security or IT-admin vs an unexpected process), the tamper type (log clear vs exclusion vs agent stop vs scripting or tracing tamper), what the change targets (vendor path vs temp or payload path), whether it matches a managed-policy baseline or a fleet-wide push, and what else fired on the host in the same window.

Reasoning

Name the leads that decided it and how they stacked — tamper firing in the same window as a credential dump is escalate on its own, while a fleet-wide exclusion for a signed vendor path pushed by IT with nothing else in the window is dismiss.

Frequently asked questions

What does the Endpoint Defense Evasion Tampering AI skill do?

Triage a host alert where the main act is weakening defenses or erasing evidence — disabling or excluding a security agent, stopping security logging, clearing event logs or command history, weakening a protective setting, or tampering with the scripting and tracing layers that feed detection. Reads who made the change and what fired alongside it to tell change-managed security maintenance apart from an attacker blinding the host, and decides escalate or dismiss.

Why use Endpoint Defense Evasion Tampering on TypingMind?

Because you install it once and use it with any model. Endpoint Defense Evasion Tampering 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 Defense Evasion Tampering in TypingMind?

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

Which AI models can use Endpoint Defense Evasion Tampering?

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 Defense Evasion Tampering?

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

Is the Endpoint Defense Evasion Tampering 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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