Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
CVE-2026-61732GHSA-g5f9-3xfg-p9mf
What to do
Vendor fix available. Upgrade each affected package to the fixed version on its release line (decepticon-core 1.1.17; decepticon-sdk 1.1.17; decepticon 1.1.17), redeploy, then verify what is actually installed.
This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.
Affected packages
PyPI decepticon-core
- Affected
- <= 1.1.16
- Fixed in
- 1.1.17
PyPI decepticon-sdk
- Affected
- <= 1.1.16
- Fixed in
- 1.1.17
PyPI decepticon
- Affected
- <= 1.1.16
- Fixed in
- 1.1.17
Sources
- GitHub Advisory Database and maintainer security advisories on GitHub
GitHub-reviewed advisory GHSA-g5f9-3xfg-p9mf lists affected ranges: PyPI decepticon-core >=0 =0 =0 <=1.1.16
VerifiedObserved Structured GitHub Advisory Database record (type=reviewed) from the GitHub REST API.
- Open Source Vulnerabilities (OSV.dev), including the GitHub Advisory Database
OSV record GHSA-g5f9-3xfg-p9mf lists affected ranges: PyPI decepticon-core >=0 =0 =0 <1.1.17 (fixed)
VerifiedObserved Structured OSV record; GitHub-reviewed advisory.
Severity and exploitation
- Exploitation
- No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
- CVSS
- 10.0 · CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
- EPSS
- CVE-2026-61732: 1.47% estimated exploitation activity in the next 30 days; percentile 73.79 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.
Source description
As published by the source; long descriptions are shortened.
Summary Decepticon wraps 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. The vast majority of open-source and self-deployed model providers do not filter special-token literals. vLLM explicitly declined to fix this issue on 2026-04-21, closing it as "out of…
Dates and revisions
- Published by the source
- Last modified by the source
- Source last checked
- Revision 3 · amended ·
Amended from ghsa record GHSA-g5f9-3xfg-p9mf
- Revision 2 · amended ·
Amended from osv record GHSA-g5f9-3xfg-p9mf
- Revision 1 · created ·
Published from ghsa record GHSA-g5f9-3xfg-p9mf
Agent brief
Preview the exact text before you copy it. Commands are read-only suggestions; review them before running anything.
# Patch Next advisory brief: CVE-2026-61732 Advisory: Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context IDs: CVE-2026-61732, GHSA-g5f9-3xfg-p9mf Record: https://patchnext.com/advisories/cve-2026-61732 (revision 3, source checked 26 Oct 2026, 13:54 UTC) Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected. Severity: Critical (CVSS 10.0) Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV. Vendor response: Vendor fix available; fixed versions by package: decepticon-core 1.1.17; decepticon-sdk 1.1.17; decepticon 1.1.17. A vendor fix does not mean a deployment is fixed. ## Affected components - PyPI decepticon-core: affected <= 1.1.16; fixed in 1.1.17 - PyPI decepticon-sdk: affected <= 1.1.16; fixed in 1.1.17 - PyPI decepticon: affected <= 1.1.16; fixed in 1.1.17 ## Suggested inspection (read-only) - `python -m pip show decepticon-core`: prints the installed version. Run with the environment that serves production active. - `python -m pip show decepticon-sdk`: prints the installed version. Run with the environment that serves production active. - `python -m pip show decepticon`: prints the installed version. Run with the environment that serves production active. ## Supported action Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version. ## Required regression checks - Run the test suite and a production build. - Exercise the features that depend on decepticon-core, decepticon-sdk, decepticon. - Repeat the inspection and confirm that only fixed versions remain installed. ## Rollback considerations - Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward. ## Unresolved questions - Which deployments run an affected version? - Exploitation status can change. Check again before lowering the priority. - Mark the work resolved only after the fixed version is verified in production. ## Sources - Verified: https://github.com/advisories/GHSA-g5f9-3xfg-p9mf (GitHub-reviewed advisory GHSA-g5f9-3xfg-p9mf lists affected ranges: PyPI decepticon-core >=0 =0 =0 <=1.1.16) - Verified: https://osv.dev/vulnerability/GHSA-g5f9-3xfg-p9mf (OSV record GHSA-g5f9-3xfg-p9mf lists affected ranges: PyPI decepticon-core >=0 =0 =0 <1.1.17 (fixed)) Commands are suggestions: review each one before running it.
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