A vulnerability has been found in Google TensorFlow up to 2.3.3/2.4.2/2.5.0 (Artificial Intelligence Software) and classified as problematic. This vulnerability affects the function tf.raw_ops.TensorListReserve
. Upgrading to version 2.3.4, 2.4.3, 2.5.1 or 2.6.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Google TensorFlow up to 2.3.3/2.4.2/2.5.0 tf.raw_ops.TensorListReserve num_elements assertion
- Virtual Patching
- August 13, 2021
- 6:04 am
CVE-2024-22144 : ELI SCHEETZ ANTI-MALWARE SECURITY AND BRUTE-FORCE FIREWALL PLUGIN CODE INJECTION
Description Improper Control of Generation of Code (‘Code Injection’) vulnerability in Eli Scheetz Anti-Malware Security and Brute-Force Firewall gotmls allows
CVE-2024-26922 : LINUX KERNEL UP TO 6.9-RC4 AMDGPU PRIVILEGE ESCALATION
Description In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: validate the parameters of bo mapping operations more
CVE-2024-21511 : MYSQL2 UP TO 3.9.6 READCODEFOR TIMEZONE CODE INJECTION
Description Versions of the package mysql2 before 3.9.7 are vulnerable to Arbitrary Code Injection due to improper sanitization of the