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Hunt MCP Agent Skill

MCP server attack hunting - tool poisoning, indirect prompt injection via tool output, rug-pull updates, cross-tool shadowing, over-permissioned/excessive-agency tools, lethal trifecta. Wiki-first, FIND schema output.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
320
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Encod3d-Sec/TORCH --skill hunt-mcp

The instruction itself

9 sections, as written by the author

Hunt: MCP Server Attacks

Assumes hunt-core for the scope gate, two-account rule, confirmation gate, enumeration limits, stop conditions, wiki protocol, FIND output, and Deadends. Do not re-derive any of that here.

Wiki

qmd_query "MCP server tool poisoning indirect prompt injection rug pull cross-tool shadowing excessive agency lethal trifecta" via wiki-search MCP

Hub: [[web-moc]] (live index). Primary page: [[mcp-server-attacks]].

Anchors: [[llm-attacks]].

Attack surface

Rank before testing. Not all surfaces are equally reachable or impactful:

  • Tool descriptions / docstrings - the FULL text (not the UI summary) is the injection surface.

Hidden instructions ride in <IMPORTANT> tags, comments, unicode-tag or zero-width text, and

parameter descriptions the client concatenates into the model context.

  • Tool output fed back to the model - any tool that fetches untrusted content (web page, ticket,

file, email, issue body) and returns it to the model is an indirect-injection channel. Highest

yield because the payload is not in the manifest and survives description review.

  • Over-permissioned / excessive-agency tools - a tool that can write files, send mail, run

shell, or hit arbitrary URLs turns any injection into action. The blast radius, not the bug.

  • Lethal trifecta in one agent - private-data access + untrusted input + an outbound/exfil

channel. When all three are reachable by a single agent, injection becomes exfil. Map who holds

each leg.

  • Exposed MCP infrastructure - MCP servers, tool manifests, agent tool lists, MCP Inspector

(CVE-2025-49596, unauth RCE).

Methodology

  • Enumerate tools: name, FULL description/docstring, parameter schema, permissions. The full

description is the attack surface, not the UI summary.

  • Map the trifecta across tools - who reads secrets, who reads untrusted input, who can reach

network/fs. A single agent holding all three legs is the primary target.

  • Tool poisoning: hidden instructions in the description (often <IMPORTANT> tags) -> read a

secret, pass it via a benign-looking param.

  • Cross-tool shadowing: from one server, hijack a different trusted tool (for example redirect

send_email recipients).

  • Indirect injection via tool output: plant instructions in a ticket/web page/file the agent

will read.

  • Rug pull: get a benign tool approved, then mutate its description server-side after approval.
  • Confirm per the Confirmation gate below - demonstrated execution via the client, never the

model's narration.

  • Distill when confirmed - reusable poisoning, shadowing, or rug-pull technique, GENERIC, no

client host: python3 scripts/wiki-stage.py --kind technique --slug <slug> --target-page techniques/web/mcp-server-attacks.md

Confirmation gate

NOT confirmation: a tool description that merely *contains* an injection string; a permissive or

over-broad parameter schema; the trifecta being *reachable* on paper without exercising it across

the tools; the model narrating that it "would" or "could" do something; a payload accepted into a

description or tool output that the client never acted on.

IS confirmation: the injection actually executed via the client - a shadowed or poisoned

tool invoked with attacker-chosen arguments, private data exfiltrated to your endpoint, or an

unintended action taken by the agent - reproduced in a clean session. For rug-pull, the mutation

took effect on an already-approved tool and the client acted on the new description.

Chaining

Tool-output injection (step 5) -> excessive agency: once you control the model's instructions

via poisoned output, the impact is whatever the over-permissioned tools can do (mail, files, shell,

outbound HTTP). That escalation is prompt-injection territory - hand off to hunt-llm for the

injection-to-action payload work, keep the MCP-specific poisoning/shadowing here.

Evasion

Description review and human approval are the controls to bypass. Hide instructions where a reviewer

skims past: <IMPORTANT>/comment blocks, zero-width or unicode-tag characters, whitespace padding,

instructions split across several tools' descriptions, and payloads in parameter descriptions rather

than the top-level docstring. Against approval flows, the rug-pull *is* the evasion: ship benign,

mutate after the human clicks approve.

Severity

Rated on demonstrated impact, not the presence of a payload.

| Outcome | Typical |

|---|---|

| RCE on the MCP host or client (e.g. MCP Inspector CVE-2025-49596) | critical |

| Secret / credential exfil via poisoned or shadowed tool | critical |

| Cross-tool hijack - arbitrary attacker-controlled tool action | high |

| Data exfil - private context reaching an attacker channel | high |

| Over-permissioned tool, limited demonstrable impact | medium |

Deadends

Append: - [ ] MCP attack on <server> -- no client-side execution; descriptions clean,
              no reachable trifecta, tool output not acted on

Record what you tried (poisoning / shadowing / indirect-output / rug-pull), not just that it failed.

How to use it

Copy the folder

Take encod3d-sec/hunt-mcp from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.