Vulnerability-Lookup

CVE-2026-79785 (GCVE-0-2026-79785)

Vulnerability from cvelistv5 – Published: 2026-08-25 16:03 – Updated: 2026-08-25 19:01

Title

X-AnyLabeling before 4.0.0-beta.9 Improper Certificate Validation in Model Downloads

Summary

X-AnyLabeling's model downloader disabled TLS certificate verification. download_with_retry in anylabeling/services/auto_labeling/model.py built a context with ssl._create_unverified_context() and passed it to urllib.request.urlopen, so neither the certificate chain nor the hostname was checked on any model download, and models are fetched over HTTPS from the project's release host. Any party positioned to intercept that connection could therefore answer it with content of their own choosing. The response is written to a .part file and moved into place with os.replace, and the only post-download check, safe_check_model, validates the file's format rather than its provenance: no hash or signature is compared against an expected value. For an ONNX target the substituted file passes onnx.checker.check_model and is then used for inference, so the attacker chooses the model that produces the application's annotations. For a .pth or .pt target, which the shipped SAM2 video, YOLOE, UPN and open_vision configurations use, the check worker calls torch.load without weights_only, so a substituted file is unpickled and executes code of the attacker's choosing on PyTorch releases predating the weights_only default.

Severity

8.2 (High)


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

5.9 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-25 19:01 UTC

CWE

CWE-295 - Improper Certificate Validation

Assigner

VulnCheck mitre root

References

6 references

URL	Tags
https://github.com/CVHub520/X-AnyLabeling	product
https://github.com/CVHub520/X-AnyLabeling/commit/…	patch
https://github.com/CVHub520/X-AnyLabeling/release…	release-notes
https://github.com/CVHub520/X-AnyLabeling/blob/v4…	technical-description
https://pypi.org/project/x-anylabeling-cvhub/	product
https://www.vulncheck.com/advisories/x-anylabelin…	third-party-advisory

Impacted products

2 products

Vendor	Product	Version	CPE status
CVHub520	X-AnyLabeling	Affected: 0 , < 4.0.0-beta.9 (semver)	guessed
CVHub520	X-AnyLabeling	Affected: 0 , < 4.0.0b9 (python)	guessed

Date Public

2026-06-16 00:00

Credits

Yu Sun

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-79785

Vulnerability from fkie_nvd - Published: 2026-08-25 16:17 - Updated: 2026-08-25 19:16

Severity

5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N

Summary

References

	URL	Tags
	disclosure@vulncheck.com	https://github.com/CVHub520/X-AnyLabeling
	disclosure@vulncheck.com	https://github.com/CVHub520/X-AnyLabeling/blob/v4.0.0-beta.8/anylabeling/services/auto_labeling/model.py
	disclosure@vulncheck.com	https://github.com/CVHub520/X-AnyLabeling/commit/52f7c30333f3f99711f09334d740212aa30b9958
	disclosure@vulncheck.com	https://github.com/CVHub520/X-AnyLabeling/releases/tag/v4.0.0-beta.9
	disclosure@vulncheck.com	https://pypi.org/project/x-anylabeling-cvhub/
	disclosure@vulncheck.com	https://www.vulncheck.com/advisories/x-anylabeling-before-4.0.0-beta.9-improper-certificate-validation-in-model-downloads

Impacted products

	Vendor	Product	Version

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "collectionURL": "https://github.com/CVHub520/X-AnyLabeling",
          "defaultStatus": "unaffected",
          "product": "X-AnyLabeling",
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          "vendor": "CVHub520",
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              "status": "affected",
              "version": "0",
              "versionType": "semver"
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          "packageURL": "pkg:pypi/x-anylabeling-cvhub",
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              "status": "affected",
              "version": "0",
              "versionType": "python"
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        }
      ],
      "source": "disclosure@vulncheck.com"
    }
  ],
  "cveTags": [],
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    {
      "lang": "en",
      "value": "X-AnyLabeling\u0027s model downloader disabled TLS certificate verification. download_with_retry in anylabeling/services/auto_labeling/model.py built a context with ssl._create_unverified_context() and passed it to urllib.request.urlopen, so neither the certificate chain nor the hostname was checked on any model download, and models are fetched over HTTPS from the project\u0027s release host. Any party positioned to intercept that connection could therefore answer it with content of their own choosing. The response is written to a .part file and moved into place with os.replace, and the only post-download check, safe_check_model, validates the file\u0027s format rather than its provenance: no hash or signature is compared against an expected value. For an ONNX target the substituted file passes onnx.checker.check_model and is then used for inference, so the attacker chooses the model that produces the application\u0027s annotations. For a .pth or .pt target, which the shipped SAM2 video, YOLOE, UPN and open_vision configurations use, the check worker calls torch.load without weights_only, so a substituted file is unpickled and executes code of the attacker\u0027s choosing on PyTorch releases predating the weights_only default."
    }
  ],
  "id": "CVE-2026-79785",
  "lastModified": "2026-08-25T19:16:54.607",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 5.9,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 3.6,
        "source": "disclosure@vulncheck.com",
        "type": "Secondary"
      }
    ],
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "HIGH",
          "attackRequirements": "PRESENT",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 8.2,
          "baseSeverity": "HIGH",
          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "NONE",
          "providerUrgency": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "NONE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/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",
          "version": "4.0",
          "vulnAvailabilityImpact": "NONE",
          "vulnConfidentialityImpact": "NONE",
          "vulnIntegrityImpact": "HIGH",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "disclosure@vulncheck.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-79785",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-08-25T19:01:11.222252Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-08-25T16:17:30.690",
  "references": [
    {
      "source": "disclosure@vulncheck.com",
      "url": "https://github.com/CVHub520/X-AnyLabeling"
    },
    {
      "source": "disclosure@vulncheck.com",
      "url": "https://github.com/CVHub520/X-AnyLabeling/blob/v4.0.0-beta.8/anylabeling/services/auto_labeling/model.py"
    },
    {
      "source": "disclosure@vulncheck.com",
      "url": "https://github.com/CVHub520/X-AnyLabeling/commit/52f7c30333f3f99711f09334d740212aa30b9958"
    },
    {
      "source": "disclosure@vulncheck.com",
      "url": "https://github.com/CVHub520/X-AnyLabeling/releases/tag/v4.0.0-beta.9"
    },
    {
      "source": "disclosure@vulncheck.com",
      "url": "https://pypi.org/project/x-anylabeling-cvhub/"
    },
    {
      "source": "disclosure@vulncheck.com",
      "url": "https://www.vulncheck.com/advisories/x-anylabeling-before-4.0.0-beta.9-improper-certificate-validation-in-model-downloads"
    }
  ],
  "sourceIdentifier": "disclosure@vulncheck.com",
  "vulnStatus": "Received",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-295"
        }
      ],
      "source": "disclosure@vulncheck.com",
      "type": "Secondary"
    }
  ]
}

GHSA-XMCJ-8JMG-P5PR

Vulnerability from github – Published: 2026-08-25 18:31 – Updated: 2026-08-25 18:31

Details

Severity

5.9 (Medium)


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

8.2 (High)


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

Show details on source website

JSON

To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2026-79785"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-295"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-25T16:17:30Z",
    "severity": "HIGH"
  },
  "details": "X-AnyLabeling\u0027s model downloader disabled TLS certificate verification. download_with_retry in anylabeling/services/auto_labeling/model.py built a context with ssl._create_unverified_context() and passed it to urllib.request.urlopen, so neither the certificate chain nor the hostname was checked on any model download, and models are fetched over HTTPS from the project\u0027s release host. Any party positioned to intercept that connection could therefore answer it with content of their own choosing. The response is written to a .part file and moved into place with os.replace, and the only post-download check, safe_check_model, validates the file\u0027s format rather than its provenance: no hash or signature is compared against an expected value. For an ONNX target the substituted file passes onnx.checker.check_model and is then used for inference, so the attacker chooses the model that produces the application\u0027s annotations. For a .pth or .pt target, which the shipped SAM2 video, YOLOE, UPN and open_vision configurations use, the check worker calls torch.load without weights_only, so a substituted file is unpickled and executes code of the attacker\u0027s choosing on PyTorch releases predating the weights_only default.",
  "id": "GHSA-xmcj-8jmg-p5pr",
  "modified": "2026-08-25T18:31:54Z",
  "published": "2026-08-25T18:31:54Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-79785"
    },
    {
      "type": "WEB",
      "url": "https://github.com/CVHub520/X-AnyLabeling/commit/52f7c30333f3f99711f09334d740212aa30b9958"
    },
    {
      "type": "WEB",
      "url": "https://github.com/CVHub520/X-AnyLabeling"
    },
    {
      "type": "WEB",
      "url": "https://github.com/CVHub520/X-AnyLabeling/blob/v4.0.0-beta.8/anylabeling/services/auto_labeling/model.py"
    },
    {
      "type": "WEB",
      "url": "https://github.com/CVHub520/X-AnyLabeling/releases/tag/v4.0.0-beta.9"
    },
    {
      "type": "WEB",
      "url": "https://pypi.org/project/x-anylabeling-cvhub"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/x-anylabeling-before-4.0.0-beta.9-improper-certificate-validation-in-model-downloads"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/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"
    }
  ]
}

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

CVE-2026-79785 (GCVE-0-2026-79785)

FKIE_CVE-2026-79785

GHSA-XMCJ-8JMG-P5PR

Tags

Sightings

Nomenclature