#VU62909 Division by zero in TensorFlow - CVE-2022-23557
Vulnerability identifier: #VU62909
Vulnerability risk: Medium
CVSSv4.0: 4.9 [CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/U:Green]
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: 2.0.0 - 2.0.4, 2.1.0 - 2.1.4, 2.2.0 - 2.2.3, 2.3.0 - 2.3.4, 2.4.0 - 2.4.4, 2.5.0 - 2.5.2, 2.6.0 - 2.6.2, 2.7.0
External links
https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/internal/common.h#L75
https://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.
