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Vulnerability · Published Oct 13, 2026 · Assigned by VulDB

CVE-2026-108958TensorLayer HDF5 Loading utils.py load_hdf5_graph deserialization

Medium 6.3

In plain English

A medium-severity unsafe deserialization in TensorLayer. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 18% of all known vulnerabilities).

Severity (CVSS 3.1)6.3Medium
Exploit odds (30 days)0.3%top 82.4% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

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.

Affected products (as reported)

VendorProductVersions
n/a TensorLayer 2.2.02.2.12.2.22.2.32.2.4

Weakness: CWE-502, CWE-20 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L/E:P/RL:X/RC:C

References