CVE-2021-29519

low-risk
Published 2021-05-14

TensorFlow is an end-to-end open source platform for machine learning. The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type `tstring` which in fact contains integral elements. Fixing the type confusion by preventing mixing `DT_STRING` and `DT_INT64` types solves this issue. 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.

Do I need to act?

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0.01% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
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Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
2
CVSS 2.5/10 Low
LOCAL / HIGH complexity

Affected Products (1)

Affected Vendors

Google

References (4)

Patch https://github.com/tensorflow/tensorflow/commit/b1cc5e5a50e7cee09f2c6eb48eb40ee9...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772j-h9xw-ffp5
Patch https://github.com/tensorflow/tensorflow/commit/b1cc5e5a50e7cee09f2c6eb48eb40ee9...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772j-h9xw-ffp5
11
/ 100
low-risk
Severity 6/34 · Minimal
Exploitability 0/34 · Minimal
Exposure 5/34 · Minimal