cve.bz

CVE-2022-35974

7.5 highEPSS 0.5%

High (7.5) in google tensorflow. EPSS 0.5% chance of exploitation in the next 30 days. Fixed in tensorflow 2.7.2, 2.8.1, 2.9.1.

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Severity

CVSS 3.1

7.5 high
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
0.5% chance of exploitation in the next 30 days; higher than 43% of CVEs (scores of 2026-10-31)
CWE
CWE-20
Published
Modified
Record from
the NVD, synced

Affected

Packages (OSV)

AdvisoryEcosystemPackageAffectedFixed in
GHSA-vgvh-2pf4-jr2xPyPItensorflow<2.7.22.7.2
GHSA-vgvh-2pf4-jr2xPyPItensorflow>=2.8.0 <2.8.12.8.1
GHSA-vgvh-2pf4-jr2xPyPItensorflow>=2.9.0 <2.9.12.9.1
GHSA-vgvh-2pf4-jr2xPyPItensorflow-cpu<2.7.22.7.2
GHSA-vgvh-2pf4-jr2xPyPItensorflow-cpu>=2.8.0 <2.8.12.8.1
GHSA-vgvh-2pf4-jr2xPyPItensorflow-cpu>=2.9.0 <2.9.12.9.1
GHSA-vgvh-2pf4-jr2xPyPItensorflow-gpu<2.7.22.7.2
GHSA-vgvh-2pf4-jr2xPyPItensorflow-gpu>=2.8.0 <2.8.12.8.1
GHSA-vgvh-2pf4-jr2xPyPItensorflow-gpu>=2.9.0 <2.9.12.9.1
PYSEC-2026-1039PyPItensorflow-gpu<2.7.2
>=2.8.0 <2.8.1
>=2.9.0 <2.9.1		2.7.2, 2.8.1, 2.9.1
PYSEC-2026-3246PyPItensorflow<2.7.2
>=2.8.0 <2.8.1
>=2.9.0 <2.9.1		2.7.2, 2.8.1, 2.9.1
PYSEC-2026-3373PyPItensorflow-cpu<2.7.2
>=2.8.0 <2.8.1
>=2.9.0 <2.9.1		2.7.2, 2.8.1, 2.9.1

References

Check your stackJSON