#VU73846 Out-of-bounds read in TensorFlow - CVE-2023-25668


| Updated: 2023-03-25

Vulnerability identifier: #VU73846

Vulnerability risk: Medium

CVSSv4.0: 2.7 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Green]

CVE-ID: CVE-2023-25668

CWE-ID: CWE-125

Exploitation vector: Network

Exploit availability: No

Vulnerable software:
TensorFlow
Server applications / Other server solutions

Vendor: TensorFlow

Description

The vulnerability allows a remote attacker to gain access to potentially sensitive information.

The vulnerability exists due to a boundary condition in the QuantizeAndDequantize operation. A remote attacker can trigger a heap out-of-bounds read error and read contents of memory on the system.

Mitigation
Install updates from vendor's website.

Vulnerable software versions

TensorFlow: 2.0.0 - 2.0.4, 2.1.0 - 2.11.0, 2.2.0 - 2.2.3, 2.3.0 - 2.3.4, 2.4.0 - 2.4.4, 2.5.0 - 2.5.3, 2.6.0 - 2.6.5, 2.7.0 - 2.7.4, 2.8.0 - 2.8.4, 2.9.0 - 2.9.3


External links
https://github.com/tensorflow/tensorflow/releases/tag/v2.11.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96


Q & A

Can this vulnerability be exploited remotely?

Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.

Is there known malware, which exploits this vulnerability?

No. We are not aware of malware exploiting this vulnerability.


Latest bulletins with this vulnerability