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I. Basic Information for CVE-2023-33976
Vulnerability Information
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Vulnerability Title
TensorFlow segfault in array_ops.upper_bound
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
整数溢出或超界折返
Source: NVD (National Vulnerability Database)
Vulnerability Title
TensorFlow 输入验证错误漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
TensorFlow是TensorFlow开源的一套用于机器学习的端到端开源平台。 TensorFlow 2.13.0之前版本存在输入验证错误漏洞，该漏洞源于未指定2阶张量时，array_ops.upper_bound会导致分段错误。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
VendorProductAffected VersionsCPESubscribe
tensorflowtensorflow < 2.13.0 -
II. Public POCs for CVE-2023-33976
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III. Intelligence Information for CVE-2023-33976
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IV. Related Vulnerabilities
Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-190
V. Comments for CVE-2023-33976

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