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RedhatCVE
RedhatCVE
added 2025/05/22 5:42 p.m.6 views

CVE-2020-5215

In TensorFlow before 1.15.2 and 2.0.1, converting a string from Python to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker c...

7.5CVSS6.6AI score0.00588EPSS
SaveExploits1
IBM Security Bulletins
IBM Security Bulletins
added 2021/05/03 3:9 p.m.31 views

Security Bulletin: Tensor Flow security vulnerabilities with segmentation fault on IBM Watson Machine Learning on CP4D

Summary TensorFlow is vulnerable to a denial of service and segmentation fault on IBM Watson Machine Learning on CP4D Vulnerability Details CVEID: CVE-2020-5215 DESCRIPTION: Tensorflow is vulnerable to a denial of service, caused by a flaw when converting a string from Python to a tf.float16 valu...

7.5CVSS1.3AI score0.00588EPSS
SaveExploits1Affected Software1
IBM Security Bulletins
IBM Security Bulletins
added 2020/06/19 5:12 a.m.23 views

Security Bulletin: IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow

Summary IBM Watson Discovery for IBM Cloud Pak for Data contains a vulnerable version of TensorFlow. Vulnerability Details CVEID: CVE-2020-5215 DESCRIPTION: Tensorflow is vulnerable to a denial of service, caused by a flaw when converting a string from Python to a tf.float16 value. By sending a...

7.5CVSS1.3AI score0.00588EPSS
SaveExploits1Affected Software1
CVE
CVE
added 2020/01/28 9:20 p.m.160 views

CVE-2020-5215

CVE-2020-5215 affects TensorFlow before 1.15.2 and 2.0.1, where converting a Python string to tf.float16 in eager mode can trigger a segmentation fault. The issue arises because format checks for this use case exist only in graph mode, potentially enabling denial of service during inference/train...

7.5CVSS5.8AI score0.00588EPSS
SaveExploits1References4Affected Software1
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