CVE-2026-61732

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

Published Sep 24, 2026 CVSS 3.1 · 10 Critical EPSS 1.5% KEV · Not listed
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.

Remediation

No solution or workaround provided in the CVE record

Tracking

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Advisories

Source ID Title
Github GHSA Github GHSA GHSA-g5f9-3xfg-p9mf Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
History
Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'yes', 'Exploitation': 'poc', 'Technical Impact': 'total'}, 'version': '2.0.3'}

Type Values Removed Values Added
First Time appeared Bittersecurity
Bittersecurity decepticon
Bittersecurity decepticon-core
Bittersecurity decepticon-sdk
Vendors & Products Bittersecurity
Bittersecurity decepticon
Bittersecurity decepticon-core
Bittersecurity decepticon-sdk
Type Values Removed Values Added
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.
Title Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
Weaknesses CWE-74
References
Metrics cvssV3_1

{'score': 10, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H'}

Weaknesses

Sources

Status
PUBLISHED
Assigner
GitHub_M
Published
Updated
Sep 24, 2026, 6:00 PM
Reserved
Jul 10, 2026, 6:59 PM
Status
Deferred
Published
Sep 24, 2026, 6:17 PM
Modified
Sep 30, 2026, 5:32 PM