CVE-2026-84809 (GCVE-0-2026-84809)

Vulnerability from cvelistv5 – Published: 2026-09-02 16:59 – Updated: 2026-09-24 14:20
VLAI
Title
Tencent AI-Infra-Guard skill-scan Analysis Bypass via Excluded Python Bytecode
Summary
Tencent AI-Infra-Guard's skill-scan component excludes compiled Python bytecode files from analysis by hardcoding __pycache__ directories and .pyc/.pyo/.pyd extensions into skip lists across multiple scanning surfaces. Attackers can distribute skills with benign Python source files alongside malicious compiled bytecode that executes on import while the scanner reports a safe verdict, enabling code execution when operators install the skill.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-04 02:48 UTC
CWE
  • CWE-693 - Protection Mechanism Failure
Assigner
VulnCheck CNA under the mitre root
CNA scorecard B 84/100 over 6801 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
Tencent AI-Infra-Guard Affected: 0 , < 4.5.2 (semver)
Affected: 4.6.0 , ≤ 4.6.0 (semver)
guessed Create a notification for this product.
Tencent aig-skill-scan Affected: 0 , ≤ 0.2.1 (semver)
guessed Create a notification for this product.
Date Public
2026-08-10 00:00
Credits
Show details on NVD website

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.