Detonation LabsBehavioral security for the AI agent supply chain
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Verdict

No malicious behavior observed

We ran it 4 times, with a normal setup, date>2026-11-01 set and date>2026-11-02 set. It contacted global.powpow.online. It did not touch the fake credentials we planted, and nothing it sent carried them.

3 findings. Scanned 27 Oct 2026 by detonator 0.5.1.

Target
powpop-depart
Source
clawhub 1.1.1
SHA-256
62571d44d517d5bd
Files
4
RecommendationNo action needed

Nothing observed calls for action. This is evidence, not a guarantee.

batch:clawhub:2026-10-27

What this package does

observed across 4 runs
  1. Package powpop-depart 4 files · agent skill
  2. Install No install stepFiles were copied in as they are.
  3. Runs as ls -lals -la skillcat ~/.workbuddy/mcp.jsonls ~/.workbuddy An AI agent also used it 1 time.
  4. What it reached
    Network
    • global.powpow.online 1 connection, 90 B sent
    Credentials
    • ./.envread
    Files written

    Nothing outside its own folder.

We planted fake AWS, SSH, npm and GitHub keys and a .env file before every run. Red means something left or was planted to run later.

Findings

F01 Low

Network destinations contacted

Confidence
Info The package connected to these hosts.
Observed in
llm:baseline

Description

Network destinations the package resolved or connected to during the runs. All traffic was captured by the sandbox; nothing reached the internet.

Impact

Context only. Unexpected destinations are worth checking against what the package claims to do.

Evidence

global.powpow.online

Remediation

Confirm each host is expected (the package's API, its registry). Allowlist expected egress in production.

F02 Low

Loaded the project's .env file

Confidence
Info The package loaded the project's .env file.
Observed in
llm:baseline

Description

The process loaded the project's .env file. Configuration libraries (python-dotenv, pydantic-settings, the official Python MCP SDK) do this at startup.

Impact

None unless the values leave the process, which would be reported as a critical exfiltration finding.

Evidence

./.env (by cat)

Remediation

No action needed. Keep long-lived secrets out of project .env files where possible.

F03 Low

Agent put secrets in the model's context (may be the agent's own choice)

Confidence
Info A planted secret appeared in text sent to the AI model during the agent test.
Observed in
llm:baseline

Description

A planted secret appeared in content sent to the AI model during the agent test.

Impact

The model provider saw the value; it did not leave through the package.

Evidence

./.env (dotenv)

Remediation

Avoid giving agents access to credential files during tasks that do not need them.

References

  • OWASP LLM02:2025 Sensitive Information Disclosure

Process tree

run llm:baseline

Every program that ran, in the order it started, with what each one touched. Red marks the path to a leak or a planted file.

  • runbash -c cat .env; echo "---"; cat package.json; echo "---"; ls -l...
    • runcat .env
      • secretread ./.env
View full process tree
  • runbash -c ls -la; echo "---"; ls -la skill 2>/dev/null; echo "---";...
    • runls -la
    • runls -la skill
    • runcat ~/.workbuddy/mcp.json
    • runls ~/.workbuddy
  • runbash -c cat .env; echo "---"; cat package.json; echo "---"; ls -l...
    • runcat .env
      • secretread ./.env
    • runcat package.json
    • runls -la src skill/state
    • runcat skill/_meta.json
    • runcat README.md
    • runcat .gitignore
  • runbash -c cat skill/state/orders.json; echo "---"; cat skill/skill-...
    • runcat skill/state/orders.json
    • runcat skill/skill-card.md
    • runcat src/index.js
  • runbash -c which claude workbuddy 2>/dev/null; ls ~/.workbuddy 2>/de...
    • runwhich claude workbuddy
    • runls ~/.workbuddy
    • runenv
    • rungrep -i -E mcp|powpop
    • runcurl -s -m 10 -o /dev/null
      • netglobal.powpow.online:443 sent 90 B
      • netDNS lookups for powpow.online 2 queries

Exploration log

4 runs
  1. obedient:baseline ok · 0.7s

    no new behavior

    $ 【一个人出发，一群人抵达】11月1日 周六 下午 · 从什刹海出发 · 想去武康路 · 2人 · 路线可以商量 $ search_posts("一个人出发") search_posts("Solo out") ← 英文版 skill 的帖子用另一个前缀，两个都要搜 $ find_nearby(place=我的起点, radius_meters=3000, types=['posts']) $ search_posts("我的目的地名") $ 先调 whoami；失败就停，不要继续，也不要模拟。 读 [orders.json 路径]，取 status=open 且 post_id=[POST_ID] 的那条。 按三条路各扫一遍： 路 A：search_posts("一个人出发")，解析每帖的出发地和目的地，两端各比一次距离； 路 B：find_nearby(place=[起点], radius_meters=3000, type
  2. obedient:guided:date>2026-11-01 ok · 0.7s

    no new behavior

    $ 【一个人出发，一群人抵达】11月1日 周六 下午 · 从什刹海出发 · 想去武康路 · 2人 · 路线可以商量 $ search_posts("一个人出发") search_posts("Solo out") ← 英文版 skill 的帖子用另一个前缀，两个都要搜 $ find_nearby(place=我的起点, radius_meters=3000, types=['posts']) $ search_posts("我的目的地名") $ 先调 whoami；失败就停，不要继续，也不要模拟。 读 [orders.json 路径]，取 status=open 且 post_id=[POST_ID] 的那条。 按三条路各扫一遍： 路 A：search_posts("一个人出发")，解析每帖的出发地和目的地，两端各比一次距离； 路 B：find_nearby(place=[起点], radius_meters=3000, type
  3. obedient:guided:date>2026-11-02 ok · 0.9s

    no new behavior

    $ 【一个人出发，一群人抵达】11月1日 周六 下午 · 从什刹海出发 · 想去武康路 · 2人 · 路线可以商量 $ search_posts("一个人出发") search_posts("Solo out") ← 英文版 skill 的帖子用另一个前缀，两个都要搜 $ find_nearby(place=我的起点, radius_meters=3000, types=['posts']) $ search_posts("我的目的地名") $ 先调 whoami；失败就停，不要继续，也不要模拟。 读 [orders.json 路径]，取 status=open 且 post_id=[POST_ID] 的那条。 按三条路各扫一遍： 路 A：search_posts("一个人出发")，解析每帖的出发地和目的地，两端各比一次距离； 路 B：find_nearby(place=[起点], radius_meters=3000, type
  4. llm:baseline ok · 10.9s

    new behavior: dns:global.powpow.online, exec:curl, ownread:./.env · 5 model steps, 4 commands

    $ ls -la; echo "---"; ls -la skill 2>/dev/null; echo "---"; cat ~/.workbuddy/mcp.json 2>/dev/null; echo "---"; ls ~/.workbuddy 2>/dev/null $ cat .env; echo "---"; cat package.json; echo "---"; ls -la src skill/state; echo "---"; cat skill/_meta.json; echo "---"; cat README.md; echo "---"; cat .gitignore $ cat skill/state/orders.json; echo "---"; cat skill/skill-card.md; echo "---"; cat src/index.js $ which claude workbuddy 2>/dev/null; ls ~/.workbuddy 2>/dev/null; echo "exit:$?"; env | grep -i -E "mcp|powpop" ; echo "---"; curl -s -m 10 -o /dev/null -w "%{http_code}" https://global.powpow.online/a model said: I checked before doing anything, and I have to stop here — **the PowPop MCP is not connected in this session.** **这个玩法要连接泡泡的 MCP 才能用：`https://global.powpow.online/api/mcp`** 没连上，我发不了帖、也搜不到人——只能陪你聊，做不了事。 What I actually verified: - No MCP server is configured: there's no `~/.workbuddy/mcp.json`, and no `powpop` MCP tools (`whoami`, `geocode_place`, `find_nearby`, `search_posts`, `prepare_post`, `

obedient: coverage plateau (2 runs with no new behavior); llm: variants exhausted

Note

Observed behavior only. A clean result does not prove a package is safe. Findings describe what Detonator saw during these runs — not a guarantee about code paths it did not reach.