Vulnerability identifier: #VU86675
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:
CWE-ID:
CWE-400
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 will crash if `SparseFillEmptyRowsGrad` is given empty inputs. 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/security/advisories/GHSA-hq7g-wwwp-q46h
http://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse_fill_empty_rows_op_gpu.cu.cc
http://github.com/tensorflow/tensorflow/commit/af4a6a3c8b95022c351edae94560acc61253a1b8
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.