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    2 vulnerabilities by BitterSecurity

    CVE-2026-61732 (GCVE-0-2026-61732)

    Vulnerability from nvd – Published: 2026-09-24 17:40 – Updated: 2026-09-24 18:00
    VLAI
    Title
    Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
    Summary
    Decepticon is an autonomous hacking agent for red teams. Versions prior to 1.1.17 wrap web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK (Bring Your Own Key) deployment model, users configure their own LLM credentials to any OpenAI-compatible endpoint. Most open-source and self-deployed model providers (vLLM, SGLang, Ollama, LM Studio, text-generation-webui, etc.) do not filter special-token literals from user content in their default configurations. Those literals are parsed into structural role-boundary token IDs, meaning an attacker string planted in a target web page forges a new operator turn the model treats as authoritative, bypassing Decepticon's agent guardrails and resulting in arbitrary command execution inside the Kali Linux sandbox. Version 1.1.17 patches the issue.
    Severity
    10 (Critical)
    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
    SSVC
    Exploitation: poc Automatable: yes Technical Impact: total
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-24 17:59 UTC
    CWE
    • CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
    Assigner
    References
    Impacted products
    Show details on NVD website
    To clipboard 

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    CVE-2026-61732 (GCVE-0-2026-61732)

    Vulnerability from cvelistv5 – Published: 2026-09-24 17:40 – Updated: 2026-09-24 18:00
    VLAI
    Title
    Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
    Summary
    Decepticon is an autonomous hacking agent for red teams. Versions prior to 1.1.17 wrap web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK (Bring Your Own Key) deployment model, users configure their own LLM credentials to any OpenAI-compatible endpoint. Most open-source and self-deployed model providers (vLLM, SGLang, Ollama, LM Studio, text-generation-webui, etc.) do not filter special-token literals from user content in their default configurations. Those literals are parsed into structural role-boundary token IDs, meaning an attacker string planted in a target web page forges a new operator turn the model treats as authoritative, bypassing Decepticon's agent guardrails and resulting in arbitrary command execution inside the Kali Linux sandbox. Version 1.1.17 patches the issue.
    Severity
    10 (Critical)
    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
    SSVC
    Exploitation: poc Automatable: yes Technical Impact: total
    CISA Coordinator · CISA-ADP (v2.0.3)
    Decision recorded 2026-09-24 17:59 UTC
    CWE
    • CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
    Assigner
    References
    Impacted products
    Show details on NVD website
    To clipboard 

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