
Advent Prompt Pwn
5.7#19 in ai red teaming toolsAPILinuxmacOSWindows
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| Fact | Advent Prompt Pwn | AgentSeal |
|---|---|---|
| Attack coverage | Strategies cover direct, instruction override, delimiter, encoding, role confusion, indirect injection, and multi-turn attacks, with mutation and RAG poisoning listed as 1.1 preview features. | Pro adds 45 MCP-poisoning, 28 RAG-poisoning, and 13 multimodal probes plus behavioral genome mapping. |
| License | The project’s GitHub page identifies the source as Apache License 2.0. | The GitHub repository and PyPI metadata identify the license as FSL-1.1-Apache-2.0. |
| Purpose | Advent Prompt Pwn is a typed Python toolkit for authorized adversarial testing of language models and AI applications. | AgentSeal is an open-source security scanner and toolkit for testing AI agent prompts, auditing MCP servers, and detecting agent vulnerabilities. |
No prices published.
It suits practitioners conducting authorized assessments of language models and AI applications who need bounded runs, configurable checks, and exportable reports. Use is restricted to systems or targets with appropriate authorization.
AgentSeal suits teams assessing prompt and MCP-related security, including those integrating scans into CI. Its offline CLI option may suit users working with a local Ollama model.