---
license: apache-2.0
pretty_name: "ASRT Attacks — Arbitrary code execution (RCE)"
tags:
  - ai-security
  - prompt-injection
  - indirect-prompt-injection
  - agent-security
  - red-teaming
  - asrt-bench
viewer: false
---

# ASRT Attacks — Arbitrary code execution (RCE)

A focused, large **attack pack** for [`asrt-bench`](https://github.com/m4vic/asrt-bench):
**85 indirect prompt-injection attacks** that try to manipulate an AI agent into
misusing the **`python_exec`** tool (capability class: `code_exec`), plus 3 controls.
Verified deterministically from the agent's tool-call trace — no LLM judge.

Each attack is a cross of four red-team axes — document **context** x social-engineering
**framing** x concrete **payload** x **delivery** (direct vs retrieved) — so the sweep is broad,
not repetitive.

> Part of the Neuralchemy attack-pack family. See `neuralchemy/asrt-attacks-general` for a mixed
> sweep across all seven canonical tools.

- **85 attacks + 3 controls**
- Verified on asrt-bench's reference susceptible agent: every attack lands, every control stays
  defended (0 unclear).

## Run it

```bash
pip install asrt-bench
huggingface-cli download neuralchemy/asrt-attacks-code-exec --repo-type dataset --local-dir ./asrt-attacks-code-exec
asrt-bench
asrt-bench ❯ /target fixture          # or a model / your own .py agent
asrt-bench ❯ /run name=v1 pack=./asrt-attacks-code-exec
```

## Format & safety

`attacks.json` holds the attacks; `controls.json` holds benign controls that call `python_exec` with
harmless arguments and must verify to **failure**. Each case hides a single `[[ACTION {...}]]`
directive in a benign document; `${canary}` is a per-run marker, so a pass proves the data came
from *this* poisoned input. Every payload is **inert** — asrt-bench records the attempt and
returns a synthetic result; nothing is sent, written, queried, or executed. Payloads target the
non-routable `attacker.invalid` and carry a disposable canary. These are injection *patterns*
(OWASP LLM01), not working exploits. **Only test systems you are authorized to test.**

## Provenance & license

Authored by the maintainer (Sanskar Jajoo / Neuralchemy) via a deterministic matrix generator,
not model-generated. Apache-2.0.

**[neuralchemy.in](https://neuralchemy.in)** · **[github.com/m4vic/asrt-bench](https://github.com/m4vic/asrt-bench)**