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CVE-2021-29513

nvd nist
Published: May 14, 2021Modified: Jun 17, 2026

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7.8
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Exploitability: 1.8 / Impact: 5.9
Source: NVD

Description

TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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.

Affected (4)

Products: Google: Tensorflow
Google
1 product
Tensorflow
Configuration A
4 vulnerable
Vulnerable SoftwareAffected Versions
Google
Tensorflow
Before 2.1.4
Tensorflow
From 2.2.0 to 2.2.3
Tensorflow
From 2.3.0 to 2.3.3
Tensorflow
From 2.4.0 to 2.4.2

Related CWEs

CWE-476
NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.
CWE-843
Access of Resource Using Incompatible Type ('Type Confusion')
The product allocates or initializes a resource such as a pointer, object, or variable using one type, but it later accesses that resource using a type that is incompatible with the original type.

References (4)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
ExploitPatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitPatchThird Party Advisory

Timeline

No history available yet.