{ "dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": { "cveId": "CVE-2026-61732", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-07-10T18:59:00.046Z", "datePublished": "2026-09-24T17:40:51.248Z", "dateUpdated": "2026-09-24T18:00:43.383Z" }, "containers": { "cna": { "title": "Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context", "problemTypes": [ { "descriptions": [ { "cweId": "CWE-74", "lang": "en", "description": "CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')", "type": "CWE" } ] } ], "metrics": [ { "cvssV3_1": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 10, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", "version": "3.1" } } ], "references": [ { "name": "https://github.com/BitterSecurity/Decepticon/security/advisories/GHSA-g5f9-3xfg-p9mf", "tags": [ "x_refsource_CONFIRM" ], "url": "https://github.com/BitterSecurity/Decepticon/security/advisories/GHSA-g5f9-3xfg-p9mf" }, { "name": "https://github.com/BitterSecurity/Decepticon/commit/79ee2aaf22f4c36a5b1968f6ca3f8086b6e35b67", "tags": [ "x_refsource_MISC" ], "url": "https://github.com/BitterSecurity/Decepticon/commit/79ee2aaf22f4c36a5b1968f6ca3f8086b6e35b67" } ], "affected": [ { "vendor": "BitterSecurity", "product": "Decepticon", "versions": [ { "version": "< 1.1.17", "status": "affected" } ] }, { "vendor": "BitterSecurity", "product": "decepticon-core", "versions": [ { "version": "< 1.1.17", "status": "affected" } ] }, { "vendor": "BitterSecurity", "product": "decepticon-sdk", "versions": [ { "version": "< 1.1.17", "status": "affected" } ] } ], "providerMetadata": { "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-09-24T17:40:51.248Z" }, "descriptions": [ { "lang": "en", "value": "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." } ], "source": { "advisory": "GHSA-g5f9-3xfg-p9mf", "discovery": "UNKNOWN" } }, "adp": [ { "references": [ { "url": "https://github.com/BitterSecurity/Decepticon/security/advisories/GHSA-g5f9-3xfg-p9mf", "tags": [ "exploit" ] } ], "metrics": [ { "other": { "type": "ssvc", "content": { "timestamp": "2026-09-24T17:59:08.643777Z", "id": "CVE-2026-61732", "options": [ { "Exploitation": "poc" }, { "Automatable": "yes" }, { "Technical Impact": "total" } ], "role": "CISA Coordinator", "version": "2.0.3" } } } ], "title": "CISA ADP Vulnrichment", "providerMetadata": { "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-09-24T18:00:43.383Z" } } ] } }