A recent security paper from Tencent's AI-Infra-Guard team highlights significant vulnerabilities in the DeepSeek Harness (DSH) open-source agent orchestration framework. The research found that indirect prompt injection attacks, where malicious instructions are embedded in external data sources, have a success rate of 17-25.5%. The paper also points out issues with unauthorized tool execution and a lack of validation for agent outputs and cross-tool data flows. To address these, the Correctover security plugin has been developed, offering runtime validation for agent frameworks like DSH. AI
IMPACT Highlights critical security gaps in agent orchestration frameworks, necessitating runtime validation for safe deployment.
RANK_REASON Security paper analyzing vulnerabilities in an AI agent framework. [lever_c_demoted from research: ic=1 ai=1.0]
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