cve.bz

CVE-2021-29588

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. The optimized implementation of the `TransposeConv` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/optimized/optimized_ops.h#L5221-L5222). An attacker can craft a model such that `stride_{h,w}` values are 0. Code calling this function must validate these arguments. 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-vfr4-x8j2-3rf9PyPItensorflow<2.1.42.1.4
GHSA-vfr4-x8j2-3rf9PyPItensorflow>=2.2.0 <2.2.32.2.3
GHSA-vfr4-x8j2-3rf9PyPItensorflow>=2.3.0 <2.3.32.3.3
GHSA-vfr4-x8j2-3rf9PyPItensorflow>=2.4.0 <2.4.22.4.2
GHSA-vfr4-x8j2-3rf9PyPItensorflow-cpu<2.1.42.1.4
GHSA-vfr4-x8j2-3rf9PyPItensorflow-cpu>=2.2.0 <2.2.32.2.3
GHSA-vfr4-x8j2-3rf9PyPItensorflow-cpu>=2.3.0 <2.3.32.3.3
GHSA-vfr4-x8j2-3rf9PyPItensorflow-cpu>=2.4.0 <2.4.22.4.2
GHSA-vfr4-x8j2-3rf9PyPItensorflow-gpu<2.1.42.1.4
GHSA-vfr4-x8j2-3rf9PyPItensorflow-gpu>=2.2.0 <2.2.32.2.3
GHSA-vfr4-x8j2-3rf9PyPItensorflow-gpu>=2.3.0 <2.3.32.3.3
GHSA-vfr4-x8j2-3rf9PyPItensorflow-gpu>=2.4.0 <2.4.22.4.2
PYSEC-2021-225PyPItensorflow<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-2021-516PyPItensorflow-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-2021-714PyPItensorflow-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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