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CVE-2022-29208 affects the implementation of tf.raw_ops.EditDistance in TensorFlow versions prior to 2.9.0. The vulnerability was discovered in May 2022 and impacts TensorFlow's core functionality. The issue was patched in versions 2.6.4, 2.7.2, 2.8.1, and 2.9.0 (GitHub Advisory).
The vulnerability stems from incomplete validation in the EditDistance operation. The implementation only checks against the upper bound of the array when computing an index for write operations, but fails to validate against negative values. This allows users to pass negative values that can cause buffer underflow. The vulnerability exists in multiple code locations where index computation is performed using std::inner_product without proper bounds checking (GitHub Advisory).
When exploited, this vulnerability can lead to a segmentation fault resulting in denial of service. Additionally, it can cause out-of-bounds write operations before the intended array location due to the ability to generate negative index values (GitHub Advisory).
The issue has been patched in multiple TensorFlow versions: 2.6.4, 2.7.2, 2.8.1, and 2.9.0. The fix was implemented in GitHub commit 30721cf564cb029d34535446d6a5a6357bebc8e7, which adds validation to ensure that computed indices are non-negative (GitHub Advisory).
Source: This report was generated using AI
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