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The vulnerability CVE-2022-35937 is an out-of-bounds memory read issue in TensorFlow's GatherNd operation. The vulnerability was discovered and disclosed in September 2022, affecting TensorFlow versions prior to 2.10.0. The issue occurs in the GatherNd function when the input parameters are greater than or equal to the sizes of the outputs (GitHub Advisory).
The vulnerability exists in the GatherNd operation implementation where input validation was insufficient. When the inputs provided to the GatherNd function exceed or equal the output sizes, it triggers an out-of-bounds memory read condition. The issue was patched in commit 595a65a3e224a0362d7e68c2213acfc2b499a196, which added proper bounds checking to prevent invalid memory access (GitHub Advisory).
The vulnerability allows for out-of-bounds memory reads, which could potentially lead to information disclosure or program crashes. The severity of this vulnerability was rated as Low according to the official assessment (GitHub Advisory).
The vulnerability has been fixed in TensorFlow versions 2.7.4, 2.8.3, 2.9.2, and 2.10.0. Users are advised to upgrade to these patched versions. The fix includes additional validation checks to prevent out-of-bounds memory access (GitHub Advisory).
Source: This report was generated using AI
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