#VU86670 Incorrect Calculation of Buffer Size in TensorFlow


Published: 2024-02-21

Vulnerability identifier: #VU86670

Vulnerability risk: Medium

CVSSv3.1: 6.5 [CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C]

CVE-ID: CVE-2022-41886

CWE-ID: CWE-131

Exploitation vector: Network

Exploit availability: No

Vulnerable software:
TensorFlow
Server applications / Other server solutions

Vendor: TensorFlow

Description

The vulnerability allows a remote attacker to perform a denial of service (DoS) attack.

The vulnerability exists due to `tf.raw_ops.ImageProjectiveTransformV2` overflows when given a large output shape. A remote attacker can trigger resource exhaustion and perform a denial of service (DoS) attack.

Mitigation
Install updates from vendor's website.

Vulnerable software versions

TensorFlow: 2.10.1, 2.9.3, 2.8.4


External links
http://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/image_ops.cc
http://github.com/tensorflow/tensorflow/security/advisories/GHSA-54pp-c6pp-7fpx
http://github.com/tensorflow/tensorflow/commit/8faa6ea692985dbe6ce10e1a3168e0bd60a723ba


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