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I. Basic Information for CVE-2022-23594
Vulnerability Information

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Vulnerability Title
Out of bounds read in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
跨界内存读
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 缓冲区错误漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Google TensorFlow是美国谷歌(Google)公司的一套用于机器学习的端到端开源平台。 Tensorflow 存在缓冲区错误漏洞,如果攻击者可利用该漏洞改变磁盘上的SavedModel格式使这些假设无效,然后GraphDef被转换为基于mlir的IR,那么它们可能会导致Python解释器崩溃。
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 >= 2.7.0, < 2.8.0 -
II. Public POCs for CVE-2022-23594
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III. Intelligence Information for CVE-2022-23594
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IV. Related Vulnerabilities
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