First reported huggingface.co
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First reported arxiv.org
CrackedPDFs: A Controlled Benchmark for Hidden Prompt Injection in PDFs
CrackedPDFs is a controlled benchmark and dataset for hidden (indirect) prompt injection in PDFs, comprising 29,322 generated PDFs (9,774 injected, 19,548 benign/confounder) from 4,983 base documents, released with code and data on GitHub, Hugging Face, and Zenodo. The authors evaluate PromptGuard, a rule baseline, structural-only learned models, and a sanitized hybrid detector, reporting the hybrid detector reaching 0.960 F1 on a held-out set while noting it does not demonstrate broad real-world robustness. Details →First reported github.com
GitHub - opena2a-org/damn-vulnerable-ai-agent: Damn Vulnerable AI Agent is a deliberately vulnerable AI agent platform for security testing and education.
Damn Vulnerable AI Agent (DVAA) by opena2a-org is a deliberately vulnerable AI agent platform, distributed as a GitHub repo and Docker image (opena2a/dvaa), built for security testing and education. Modeled after projects like DVWA, it ships a fleet of intentionally exploitable AI agents so practitioners can practice attacks such as prompt injection and tool/agent abuse against a safe target. Details →How the wire is made
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