#VU62916 Exposure of Resource to Wrong Sphere in TensorFlow


Published: 2022-05-10

Vulnerability identifier: #VU62916

Vulnerability risk: Low

CVSSv3.1: 6.2 [CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N/E:U/RL:O/RC:C]

CVE-ID: CVE-2022-23563

CWE-ID: CWE-668

Exploitation vector: Local

Exploit availability: No

Vulnerable software:
TensorFlow
Server applications / Other server solutions

Vendor: TensorFlow

Description

The vulnerability allows a local user to escalate privileges on the system.

The vulnerability exists due to improper implementation of security restrictions in the mktemp() function. A local user can create a specially crafted file and escalate privileges on the system..

Mitigation
Install updates from vendor's website.

Vulnerable software versions

TensorFlow: 2.7.0, 2.6.0 - 2.6.2, 2.5.0 - 2.5.2, 2.4.1 - 2.4.4, 2.3.3 - 2.3.4, 2.1.4, 2.2.3, 2.0.4


External links
http://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm


Q & A

Can this vulnerability be exploited remotely?

No. This vulnerability can be exploited locally. The attacker should have authentication credentials and successfully authenticate on the system.

Is there known malware, which exploits this vulnerability?

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


Latest bulletins with this vulnerability