cve.bz

CVE-2021-29605

5.5 mediumEPSS 0.2%

Medium (5.5) 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 TFLite code for allocating `TFLiteIntArray`s is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27). An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in invalid value being given to `malloc`(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52). In this case, `ret->size` would dereference an invalid pointer. 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

5.5 medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS
0.2% chance of exploitation in the next 30 days; higher than 12% of CVEs (scores of 2026-10-31)
CWE
CWE-190
Published
Modified
Record from
the NVD, synced

Affected

Packages (OSV)

AdvisoryEcosystemPackageAffectedFixed in
GHSA-jf7h-7m85-w2v2PyPItensorflow<2.1.42.1.4
GHSA-jf7h-7m85-w2v2PyPItensorflow>=2.2.0 <2.2.32.2.3
GHSA-jf7h-7m85-w2v2PyPItensorflow>=2.3.0 <2.3.32.3.3
GHSA-jf7h-7m85-w2v2PyPItensorflow>=2.4.0 <2.4.22.4.2
GHSA-jf7h-7m85-w2v2PyPItensorflow-cpu<2.1.42.1.4
GHSA-jf7h-7m85-w2v2PyPItensorflow-cpu>=2.2.0 <2.2.32.2.3
GHSA-jf7h-7m85-w2v2PyPItensorflow-cpu>=2.3.0 <2.3.32.3.3
GHSA-jf7h-7m85-w2v2PyPItensorflow-cpu>=2.4.0 <2.4.22.4.2
GHSA-jf7h-7m85-w2v2PyPItensorflow-gpu<2.1.42.1.4
GHSA-jf7h-7m85-w2v2PyPItensorflow-gpu>=2.2.0 <2.2.32.2.3
GHSA-jf7h-7m85-w2v2PyPItensorflow-gpu>=2.3.0 <2.3.32.3.3
GHSA-jf7h-7m85-w2v2PyPItensorflow-gpu>=2.4.0 <2.4.22.4.2
PYSEC-2021-242PyPItensorflow<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-2021-533PyPItensorflow-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-2021-731PyPItensorflow-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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