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CVE-2026-61732: CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') in BitterSecurity Decepticon

0
Critical
VulnerabilityCVE-2026-61732cvecve-2026-61732cwe-74
Published: 09/24/2026 (09/24/2026, 17:40:51 UTC)
Source: CVE Database V5
Vendor/Project: BitterSecurity
Product: Decepticon

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.

CVSS v3.1

Score 10.0critical

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Affected software

BitterSecurity

Decepticon

Affected versions
<1.1.17

BitterSecurity

decepticon-core

Affected versions
<1.1.17

BitterSecurity

decepticon-sdk

Affected versions
<1.1.17
GitHub Actionsmore threats →ai
bittersecurity/Decepticon
pkg:github/bittersecurity/Decepticon
Affected versions
<1.1.17

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/24/2026, 18:02:52 UTC

Technical Analysis

Decepticon, an autonomous hacking agent used by red teams, improperly neutralizes special ChatML token literals in web crawl outputs before embedding them into LLM messages. Under the BYOK deployment model, users supply their own LLM credentials to OpenAI-compatible endpoints, many of which do not filter these special tokens by default. An attacker can exploit this by planting malicious strings in target web pages that are parsed as authoritative commands by the model, resulting in arbitrary command execution inside the Kali Linux sandbox. This vulnerability is tracked as CVE-2026-61732 and is patched in version 1.1.17.

Potential Impact

Successful exploitation allows an attacker to bypass Decepticon's agent guardrails and execute arbitrary commands within the Kali Linux sandbox environment. This leads to full compromise of the sandboxed environment, potentially enabling further malicious activity or data compromise.

Mitigation Recommendations

Upgrade Decepticon to version 1.1.17 or later, which includes a patch that properly neutralizes ChatML special-token literals in web crawl results. Users should apply this official fix to prevent exploitation. No other mitigations are indicated by the vendor advisory.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-07-10T18:59:00.046Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6ab56279f7a7c54106a1f8fa

Added to database: 09/24/2026, 17:48:41 UTC

Last enriched: 09/24/2026, 18:02:52 UTC

Last updated: 09/25/2026, 02:47:59 UTC

Views: 10

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