CVE-2026-84809 (GCVE-0-2026-84809)
Vulnerability from cvelistv5 – Published: 2026-09-02 16:59 – Updated: 2026-09-04 02:48
VLAI
EPSS
VEX
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.
Severity
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
References
6 references
| URL | Tags |
|---|---|
| https://github.com/Tencent/AI-Infra-Guard/issues/531 | issue-tracking |
| https://github.com/Tencent/AI-Infra-Guard/commit/… | patch |
| https://github.com/Tencent/AI-Infra-Guard/blob/v4… | technical-description |
| https://github.com/Tencent/AI-Infra-Guard/blob/v4… | technical-description |
| https://github.com/Tencent/AI-Infra-Guard | product |
| https://www.vulncheck.com/advisories/tencent-ai-i… | third-party-advisory |
Impacted products
2 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 | |
| Tencent | aig-skill-scan |
Affected:
0 , ≤ 0.2.1
(semver)
|
guessed |
Date Public
2026-08-10 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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