Vulnerability-Lookup

GHSA-7VC4-66F2-3F5F

Vulnerability from github – Published: 2026-09-02 18:32 – Updated: 2026-09-02 18:32

Details

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

6.5 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N

7.1 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-84809"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-693"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-02T17:18:05Z",
    "severity": "HIGH"
  },
  "details": "Tencent AI-Infra-Guard\u0027s 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.",
  "id": "GHSA-7vc4-66f2-3f5f",
  "modified": "2026-09-02T18:32:29Z",
  "published": "2026-09-02T18:32:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-84809"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Tencent/AI-Infra-Guard/issues/531"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Tencent/AI-Infra-Guard/commit/7e0f749e3c023e5c6ab7b32fe97b3f6f2e8aeb04"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Tencent/AI-Infra-Guard"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Tencent/AI-Infra-Guard/blob/v4.6.0/skill-scan/skill_scan/tools/dir/dir_actions.py"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Tencent/AI-Infra-Guard/blob/v4.6.0/skill-scan/skill_scan/utils/pre_scan.py"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/tencent-ai-infra-guard-skill-scan-analysis-bypass-via-excluded-python-bytecode"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

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

Vulnerability from cvelistv5 – Published: 2026-09-02 16:59 – Updated: 2026-09-04 02:48

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

7.1 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

6.5 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N

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 mitre root

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
Tencent	AI-Infra-Guard	Affected: 0 , < 4.5.2 (semver) Affected: 4.6.0 , ≤ 4.6.0 (semver)
Tencent	aig-skill-scan	Affected: 0 , ≤ 0.2.1 (semver)

Date Public

2026-08-10 00:00

Credits

nedlir

Show details on NVD website

JSON

To clipboard

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                "id": "CVE-2026-84809",
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                  },
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                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-09-04T02:48:03.204497Z",
                "version": "2.0.3"
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        }
      ],
      "metrics": [
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          "name": "GitHub Issue #531",
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          "url": "https://github.com/Tencent/AI-Infra-Guard"
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        {
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    "datePublished": "2026-09-02T16:59:48.800Z",
    "dateReserved": "2026-09-02T10:19:32.992Z",
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    "state": "PUBLISHED"
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  "dataType": "CVE_RECORD",
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}

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.

Detection rules are retrieved from Rulezet.

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.

Action not permitted

GHSA-7VC4-66F2-3F5F

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

Tags

Sightings

Nomenclature