A AegiFlow
CRITICALCVSS 10.0EPSS 1.2%

CVE-2026-61732

CVE-2026-61732 updated by NVD

Published
2026-09-24
Modified
2026-10-02
EPSS percentile
67%
Sources
github-advisory, nvd

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.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIdecepticon—1.1.17
PyPIdecepticon-core—1.1.17
PyPIdecepticon-sdk—1.1.17

Remediation: Upgrade to 1.1.17 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.