CVE-2026-61732
Published:September 24, 2026
Updated:October 09, 2026
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
decepticon-sdk (PYTHON):
Affected version(s) >=1.1.2 <1.1.17Fix Suggestion:
Update to version 1.1.17decepticon-core (PYTHON):
Affected version(s) >=1.1.2 <1.1.17Fix Suggestion:
Update to version 1.1.17decepticon (PYTHON):
Affected version(s) >=1.1.0 <1.1.17Fix Suggestion:
Update to version 1.1.17Related Resources (11)
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Contact UsCVSS v4
Base Score:
10
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
HIGH
Subsequent System Integrity
HIGH
Subsequent System Availability
HIGH
CVSS v3
Base Score:
10
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
CHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
Weakness Type (CWE)
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
EPSS
Base Score:
1.22