MediumVulnerability

CVE-2026-79785: X-AnyLabeling model downloader skips TLS certificate verification

Source: NVD(opens in a new tab)
Identifier: CVE-2026-79785
Published: August 25, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.3%

Summary

X-AnyLabeling's download_with_retry in anylabeling/services/auto_labeling/model.py builds an unverified SSL context with ssl._create_unverified_context() and passes it to urllib.request.urlopen, so model downloads from the release host skip certificate and hostname checks. An interceptor can substitute a model, and the only post-download check, safe_check_model, validates format rather than provenance. For .pth or .pt targets, torch.load without weights_only can then execute attacker-chosen code on PyTorch releases predating the weights_only default.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 5.9(medium)
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
Attack vector: network
Attack complexity: high
Privileges required: none
User interaction: none
EPSS: 0.3%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.
Disclosure date: August 25, 2026

Weaknesses and techniques

Weakness (CWE): CWE-295
AI threat technique (MITRE ATLAS): AML.T0010

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: Training data
Impact: Integrity,
Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-79785

First tracked: August 25, 2026 at 02:10 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

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