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Tencent study finds DeepSeek Harness vulnerable to prompt injection; Correctover offers solution

A security assessment by Tencent's AI-Infra-Guard team revealed that DeepSeek Harness is vulnerable to indirect prompt injection attacks, with success rates ranging from 17% to 25.5% across various channels. The study concluded that AI agents require controls to mediate between untrusted content and sensitive actions. In response, Correctover has developed CCS (Correctover Conformance Shape), a runtime verification layer designed to sit at the tool-call boundary and prevent dangerous actions or data leaks. AI

IMPACT Highlights critical security vulnerabilities in AI agent runtimes, emphasizing the need for robust verification layers to prevent prompt injection attacks.

RANK_REASON Security assessment of an AI system published as a research paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tencent study finds DeepSeek Harness vulnerable to prompt injection; Correctover offers solution

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Security assessment of an AI system published as a research paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · correctover ·

    Tencent just proved DeepSeek Harness needs runtime security (17-25.5% injection) — CCS is the control

    <p><strong>TL;DR</strong>: Tencent's AI-Infra-Guard team published a formal security assessment of DeepSeek Harness (arXiv:2608.16393), showing indirect prompt injection succeeds at <strong>17-25.5%</strong> across file/text/skills channels — and concluded agents need <em>"contro…