CVE-2026-61732

Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context

State
Published
Severity
10.0 Critical
Published
Sep 24, 2026
Updated
Sep 24, 2026
Reserved
Jul 10, 2026

Read the record on cve.org

Description

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.

Scores

CVSSScoreVectorSource
3.110.0 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HGitHub_M

Weaknesses

  • CWE-74 Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

Affected Products

ProductVersions
DecepticonBitterSecurity
  • < 1.1.17Affected
decepticon-coreBitterSecurity
  • < 1.1.17Affected
decepticon-sdkBitterSecurity
  • < 1.1.17Affected

References

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