CVE-2026-61732
CriticalCVSS 10.0Summary
Decepticon, an autonomous hacking agent for red teams, in versions prior to 1.1.17 wraps web crawl results into LLM messages without neutralizing ChatML special-token literals. Under the BYOK model, most model providers do not filter these literals, so an attacker can plant them on a target page to forge an operator turn and bypass agent guardrails. This results in arbitrary command execution inside the Kali Linux sandbox.
Risk Assessment
An attacker can hijack the agent and execute arbitrary commands in the sandbox environment, potentially compromising the system and data. The risk applies to deployments using own LLM keys and non-filtering model providers.
Recommendation
Update Decepticon to version 1.1.17. Consider using LLM providers that filter special-token literals and restrict sandbox privileges.
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Original NVD description (English source)
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.

