MediumVulnerability

CVE-2026-108958: TensorLayer HDF5 model loading deserialization via model_config argument

Source: NVD(opens in a new tab)
Identifier: CVE-2026-108958
Published: October 12, 2026
Record updated: October 13, 2026

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

Summary

A weakness in TensorLayer up to 2.2.4 affects the load_hdf5_graph function in tensorlayer/files/utils.py, within the HDF5 Loading component. Manipulating the model_config argument can lead to deserialization, and the attack can be carried out remotely. A public exploit is available, and the project was notified through an issue report but has not yet responded.

Mitigation

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

Details

Scores and exploitation

CVSS score: 6.3(medium)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
Attack vector: network
Attack complexity: low
Privileges required: none
User interaction: required
EPSS: Not scored. FIRST had not published an EPSS score for this CVE when it was last checked on October 13, 2026.
Disclosure date: October 12, 2026

Weaknesses and techniques

Weakness (CWE): CWE-20
CWE-502
Attack pattern (CAPEC): CAPEC-586
AI threat technique (MITRE ATLAS): AML.T0010

Classification

Attack type: Supply chain
Attack sophistication: Trivial
AI component targeted: Framework
Impact: Confidentiality,
Integrity
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-2026-108958

First tracked: October 13, 2026 at 02:07 AM ET, from NVD/CVE Database

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

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

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