6 matches found
Security Bulletin: Tensor Flow security vulnerabilities with denial of service on IBM Watson Machine Learning Server
Summary TensorFlow is vulnerable to a denial of service .Remote attacker could exploit this vulnerability to cause a denial of service condition on IBM Watson Machine Learning Server Vulnerability Details CVEID: CVE-2020-15190 DESCRIPTION: TensorFlow is vulnerable to a denial of service, caused b...
openSUSE Security Update : tensorflow2 (openSUSE-2020-1766)
This update for tensorflow2 fixes the following issues : - updated to 2.1.2 with following fixes boo1177022 : - Fixes an undefined behavior causing a segfault in tf.rawops.Switch CVE-2020-15190 - Fixes three vulnerabilities in conversion to DLPack format CVE-2020-15191, CVE-2020-15192,...
OPENSUSE-SU-2020:1766-1 Security update for tensorflow2
This update for tensorflow2 fixes the following issues: - updated to 2.1.2 with following fixes boo1177022: Fixes an undefined behavior causing a segfault in tf.rawops.Switch CVE-2020-15190 Fixes three vulnerabilities in conversion to DLPack format CVE-2020-15191, CVE-2020-15192, CVE-2020-15193...
Security update for tensorflow2 (moderate)
openSUSE Security Update: Security update for tensorflow2 Announcement ID: openSUSE-SU-2020:1766-1 Rating: moderate References: 1173314 1175099 1175789 1177022 Cross-References: CVE-2020-15190 CVE-2020-15191 CVE-2020-15192 CVE-2020-15193 CVE-2020-15194 CVE-2020-15195 CVE-2020-15202 CVE-2020-15203...
CVE-2020-15190
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the tf.rawops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. Howeve...
CVE-2020-15190
TensorFlow CVE-2020-15190 is a vulnerability in tf.raw_ops.Switch where, in eager mode, the runtime binds a reference to a nullptr when one of the two outputs is undefined. This causes undefined behavior and can segfault when compiled with -fsanitize=null. The issue affects TensorFlow versions 1....