| ---
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| license: apache-2.0
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| pretty_name: "ASRT Attacks — Arbitrary code execution (RCE)"
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| tags:
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| - ai-security
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| - prompt-injection
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| - indirect-prompt-injection
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| - agent-security
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| - red-teaming
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| - asrt-bench
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| viewer: false
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| ---
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|
|
| # ASRT Attacks — Arbitrary code execution (RCE)
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|
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| A focused, large **attack pack** for [`asrt-bench`](https://github.com/m4vic/asrt-bench):
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| **85 indirect prompt-injection attacks** that try to manipulate an AI agent into
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| misusing the **`python_exec`** tool (capability class: `code_exec`), plus 3 controls.
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| Verified deterministically from the agent's tool-call trace — no LLM judge.
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|
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| Each attack is a cross of four red-team axes — document **context** x social-engineering
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| **framing** x concrete **payload** x **delivery** (direct vs retrieved) — so the sweep is broad,
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| not repetitive.
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|
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| > Part of the Neuralchemy attack-pack family. See `neuralchemy/asrt-attacks-general` for a mixed
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| > sweep across all seven canonical tools.
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|
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| - **85 attacks + 3 controls**
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| - Verified on asrt-bench's reference susceptible agent: every attack lands, every control stays
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| defended (0 unclear).
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|
|
| ## Run it
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|
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| ```bash
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| pip install asrt-bench
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| huggingface-cli download neuralchemy/asrt-attacks-code-exec --repo-type dataset --local-dir ./asrt-attacks-code-exec
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| asrt-bench
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| asrt-bench ❯ /target fixture # or a model / your own .py agent
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| asrt-bench ❯ /run name=v1 pack=./asrt-attacks-code-exec
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| ```
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|
|
| ## Format & safety
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|
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| `attacks.json` holds the attacks; `controls.json` holds benign controls that call `python_exec` with
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| harmless arguments and must verify to **failure**. Each case hides a single `[[ACTION {...}]]`
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| directive in a benign document; `${canary}` is a per-run marker, so a pass proves the data came
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| from *this* poisoned input. Every payload is **inert** — asrt-bench records the attempt and
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| returns a synthetic result; nothing is sent, written, queried, or executed. Payloads target the
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| non-routable `attacker.invalid` and carry a disposable canary. These are injection *patterns*
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| (OWASP LLM01), not working exploits. **Only test systems you are authorized to test.**
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|
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| ## Provenance & license
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|
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| Authored by the maintainer (Sanskar Jajoo / Neuralchemy) via a deterministic matrix generator,
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| not model-generated. Apache-2.0.
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|
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| **[neuralchemy.in](https://neuralchemy.in)** · **[github.com/m4vic/asrt-bench](https://github.com/m4vic/asrt-bench)**
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|
