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decepticon@1.1.10

AI-powered autonomous red team testing framework

  • latest version

    1.2.1

  • latest non vulnerable version

    1.2.1

  • first published

    4 months ago

  • latest version published

    4 hours ago

  • licenses detected

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    Direct Vulnerabilities

    Known vulnerabilities in the decepticon package. This does not include vulnerabilities belonging to this package’s dependencies.

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    VulnerabilityVulnerable Version
    • C
    Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

    decepticon is an AI-powered autonomous red team testing framework

    Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') via UntrustedOutputMiddleware._format_envelope and PromptInjectionShieldMiddleware._wrap_untrusted, which emit attacker-controlled tool output verbatim without neutralizing chat-template special-token literals. A ChatML literal such as <|im_start|> planted in tool output (web crawl results, recon scan output, bash stdout) is passed to a self-hosted tokenizer that parses it into a structural role-delimiter token, forging an operator or system turn the model treats as authoritative. This bypasses the quarantine envelope and enables arbitrary command execution in the sandbox.

    Note: This is only exploitable when Decepticon is configured with a BYOK OpenAI-compatible backend whose tokenizer preserves special-token IDs (vLLM, SGLang, TGI, and Ollama are confirmed vulnerable); hosted vendors such as OpenAI and Anthropic strip these tokens server-side.

    How to fix Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')?

    Upgrade decepticon to version 1.1.17 or higher.

    [,1.1.17)
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