CVE-2021-29569

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the `input_min` and `input_max` tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, `.flat()` is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Link	Resource
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3h8m-483j-7xxm	Exploit Patch
https://github.com/tensorflow/tensorflow/commit/ef0c008ee84bad91ec6725ddc42091e19a30cf0e	Patch Third Party Advisory

Configuration 1

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*

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Published : 2021-05-14 08:15

Updated : 2021-05-20 02:56

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NVD link : CVE-2021-29569

Mitre link : CVE-2021-29569

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CWE-125

Out-of-bounds Read