#VU69907 Buffer overflow in TensorFlow - CVE-2022-41910

Vulnerability identifier: #VU69907

Vulnerability risk: Medium

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

CVE-ID: CVE-2022-41910

CWE-ID: CWE-119

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 a boundary error in QuantizeAndDequantizeV2. A remote attacker can trigger memory corruption and cause a denial of service condition on the target system.

Mitigation
Install updates from vendor's website.

Vulnerable software versions

TensorFlow: 2.8.0 - 2.8.3, 2.9.0 - 2.9.2, 2.10.0

---

External links
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv

---

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.