---
id: CVE-2026-108958
title: A weakness has been identified in TensorLayer up to 2.2.4
summary: >-
  A weakness has been identified in TensorLayer up to 2.2.4. This affects the
  function load_hdf5_graph of the file tensorlayer/files/utils.py of the
  component HDF5 Loading. Executing a manipulation of the argument model_config
  can lead to …
severity: medium
cvss: 6.3
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L'
cwe:
  - CWE-20
  - CWE-502
published: '2026-10-13'
updated: '2026-10-13'
sourceUpdated: '2026-10-13T03:16:40.390'
source: NVD
sourceUrl: 'https://nvd.nist.gov/vuln/detail/CVE-2026-108958'
references:
  - url: 'https://github.com/tensorlayer/TensorLayer/'
    label: cna@vuldb.com
  - url: 'https://github.com/tensorlayer/TensorLayer/issues/1169'
    label: cna@vuldb.com
  - url: 'https://vuldb.com/cve/CVE-2026-108958'
    label: cna@vuldb.com
  - url: 'https://vuldb.com/submit/997885'
    label: cna@vuldb.com
  - url: 'https://vuldb.com/vuln/416777'
    label: cna@vuldb.com
  - url: 'https://vuldb.com/vuln/416777/cti'
    label: cna@vuldb.com
tags:
  - nvd
ingestedAt: '2026-10-13T04:14:33.874Z'
---

## Overview

A weakness has been identified in TensorLayer up to 2.2.4. This affects the function load_hdf5_graph of the file tensorlayer/files/utils.py of the component HDF5 Loading. Executing a manipulation of the argument model_config can lead to deserialization. The attack can be executed remotely. The exploit has been made available to the public and could be used for attacks. The project was informed of the problem early through an issue report but has not responded yet.

## Remediation

Refer to the linked advisories for vendor-supplied fixes and affected version ranges.