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.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
None
No additional conditions
Privileges Required
None
No privileges needed
User Interaction
Passive
Minimal interaction
Impact Assessment
Confidentiality
Low
Partial data leak
Integrity
Low
Partial data modification
Availability
Low
Partial disruption
CVSS Vector v4.0
Weakness Type (CWE)
Vulnerable Products
n/a:tensorlayer
References 6
https://github.com/tensorlayer/TensorLayer/
cna@vuldb.com
https://github.com/tensorlayer/TensorLayer/issues/1169
cna@vuldb.com
https://vuldb.com/cve/CVE-2026-108958
cna@vuldb.com
https://vuldb.com/submit/997885
cna@vuldb.com
https://vuldb.com/vuln/416777
cna@vuldb.com
https://vuldb.com/vuln/416777/cti
cna@vuldb.com