#VU87303 Incorrect Calculation of Buffer Size in TensorFlow - CVE-2022-41885
Vulnerability identifier: #VU87303
Vulnerability risk: Medium
CVSSv4.0: 6.6 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/U:Green]
CVE-ID: CVE-2022-41885
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 TensorFlow overflows when `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor 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: 2.8.4, 2.9.3, 2.10.1
External links
https://github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-762h-vpvw-3rcx
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc
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.
