Vulnerability identifier: #VU62909

Vulnerability risk: Medium

CVSSv3.1: 5.7 [CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C]

CVE-ID: CVE-2022-23557

CWE-ID: CWE-369

Exploitation vector: Network

Exploit availability: No

Vulnerable software:
TensorFlow
Server applications / Other server solutions

Vendor: TensorFlow

Description

The vulnerability allows a remote user to perform a denial of service attack.

The vulnerability exists due to a division by zero error when parsing TFLite model in `BiasAndClamp` implementation. A remote user can pass a specially crafted TFLite model to the application and crash it.

Mitigation
Install update from vendor's website.

Vulnerable software versions

TensorFlow: 2.7.0, 2.6.0 - 2.6.2, 2.5.0 - 2.5.2, 2.4.0 - 2.4.4, 2.3.0 - 2.3.4, 2.1.0 - 2.1.4, 2.2.0 - 2.2.3, 2.0.0 - 2.0.4

---

External links
http://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209
http://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/internal/common.h#L75
http://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v

---

Q & A

Can this vulnerability be exploited remotely?

Yes. This vulnerability can be exploited by a remote authenticated user via the Internet.

Is there known malware, which exploits this vulnerability?

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