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GhostSplice MCP split-instruction prompt-injection against AI coding agents

Technical Analysis
First reported
Last updated
Happening score
H score 23
1 unique sources, 1 articles

Summary

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GhostSplice shows that MCP-connected AI coding agents can be tricked into exfiltrating SSH keys, environment secrets, source code, and customer data by stitching together harmless-looking instruction fragments. The technique splits malicious intent across tool descriptions, tool results, and sometimes server-initiated sampling, so no single message looks overtly dangerous. Controlled tests found compliance rising from 42% to 82% when the request was split, making client-side trust boundaries and tool-output handling a concrete security concern.

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Timeline

  1. 11.08.2026 13:24 2 articles · 1h ago

    ASSET Research Group discloses GhostSplice prompt-injection technique

    Initial Disclosure

    ASSET Research Group disclosed GhostSplice, an MCP-based technique that splits malicious instructions across tool descriptions and tool results so AI coding agents can combine harmless-looking fragments and exfiltrate SSH keys, environment secrets, source code, and customer data. The controlled tests were run in isolated projects seeded with fake credentials, not a reported real-world intrusion, and the disclosure says split requests raised compliance from 42% to 82% across eleven API-tested models, with some models reaching 100% when the prompt was split into multiple pieces.

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