cve.bz

CVE-2021-29586

7.8 highEPSS 0.2%

High (7.8) in google tensorflow. EPSS 0.2% chance of exploitation in the next 30 days. Fixed in tensorflow 2.1.4, 2.2.3, 2.3.3.

TensorFlow is an end-to-end open source platform for machine learning. Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling `ComputePaddingHeightWidth`(https://github.com/tensorflow/tensorflow/blob/3f24ccd932546416ec906a02ddd183b48a1d2c83/tensorflow/lite/kernels/pooling.cc#L90). Since users can craft special models which will have `params->stride_{height,width}` be zero, this will result in a division by zero. 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.

Severity

CVSS 3.1

7.8 high
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS
0.2% chance of exploitation in the next 30 days; higher than 10% of CVEs (scores of 2026-10-31)
CWE
CWE-369
Published
Modified
Record from
the NVD, synced

Affected

Packages (OSV)

AdvisoryEcosystemPackageAffectedFixed in
GHSA-26j7-6w8w-7922PyPItensorflow<2.1.42.1.4
GHSA-26j7-6w8w-7922PyPItensorflow>=2.2.0 <2.2.32.2.3
GHSA-26j7-6w8w-7922PyPItensorflow>=2.3.0 <2.3.32.3.3
GHSA-26j7-6w8w-7922PyPItensorflow>=2.4.0 <2.4.22.4.2
GHSA-26j7-6w8w-7922PyPItensorflow-cpu<2.1.42.1.4
GHSA-26j7-6w8w-7922PyPItensorflow-cpu>=2.2.0 <2.2.32.2.3
GHSA-26j7-6w8w-7922PyPItensorflow-cpu>=2.3.0 <2.3.32.3.3
GHSA-26j7-6w8w-7922PyPItensorflow-cpu>=2.4.0 <2.4.22.4.2
GHSA-26j7-6w8w-7922PyPItensorflow-gpu<2.1.42.1.4
GHSA-26j7-6w8w-7922PyPItensorflow-gpu>=2.2.0 <2.2.32.2.3
GHSA-26j7-6w8w-7922PyPItensorflow-gpu>=2.3.0 <2.3.32.3.3
GHSA-26j7-6w8w-7922PyPItensorflow-gpu>=2.4.0 <2.4.22.4.2
PYSEC-2021-223PyPItensorflow<2.1.4
>=2.2.0 <2.2.3
>=2.3.0 <2.3.3
>=2.4.0 <2.4.2		2.1.4, 2.2.3, 2.3.3, 2.4.2
PYSEC-2021-514PyPItensorflow-cpu<2.1.4
>=2.2.0 <2.2.3
>=2.3.0 <2.3.3
>=2.4.0 <2.4.2		2.1.4, 2.2.3, 2.3.3, 2.4.2
PYSEC-2021-712PyPItensorflow-gpu<2.1.4
>=2.2.0 <2.2.3
>=2.3.0 <2.3.3
>=2.4.0 <2.4.2		2.1.4, 2.2.3, 2.3.3, 2.4.2

References

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