PT-2021-18308 · Google · Tensorflow
Yakun Zhang
+1
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Published
2021-05-14
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Updated
2024-03-06
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CVE-2021-29557
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.5.0
TensorFlow version 2.4.2
TensorFlow version 2.3.3
TensorFlow version 2.2.3
TensorFlow version 2.1.4
Description
An attacker can cause a denial of service via a FPE runtime error in
tf.raw ops.SparseMatMul. The division by 0 occurs deep in Eigen code because the b tensor is empty.Recommendations
For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later.
For TensorFlow version 2.4.2, apply the cherrypicked commit.
For TensorFlow version 2.3.3, apply the cherrypicked commit.
For TensorFlow version 2.2.3, apply the cherrypicked commit.
For TensorFlow version 2.1.4, apply the cherrypicked commit.
As a temporary workaround, consider avoiding the use of
tf.raw ops.SparseMatMul with empty b tensors until a patch is available.Exploit
Fix
Divide By Zero
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow