CVE-2026-108958

Published: Ott 13, 2026 Last Modified: Ott 13, 2026

ExploitDB:

Other exploit source:

Google Dorks:

LOW 2,1

Source: [email protected]

Attack Vector: network

Attack Complexity: low

Privileges Required: none

User Interaction: passive

Confidentiality: N/A

Integrity: N/A

Availability: N/A

MEDIUM 6,3

Source: [email protected]

Attack Vector: network

Attack Complexity: low

Privileges Required: none

User Interaction: required

Scope: unchanged

Confidentiality: low

Integrity: low

Availability: low

HIGH 7,5

Source: [email protected]

Access Vector: network

Access Complexity: low

Authentication: none

Confidentiality: partial

Integrity: partial

Availability: partial

Description

AI Translation Available

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.

Improper Input Validation

Stable

Abstraction: Class Structure: Simple

Common Consequences

Security Scopes Affected:

Availability Confidentiality Integrity

Potential Impacts:

Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Cpu) Dos: Resource Consumption (Memory) Read Memory Read Files Or Directories Modify Memory Execute Unauthorized Code Or Commands