cve.bz

CVE-2020-15193

7.1 highEPSS 0.8%

High (7.1). EPSS 0.8% chance of exploitation in the next 30 days. Fixed in tensorflow 2.2.1, 2.3.1.

In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

Severity

CVSS 3.1

7.1 high
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
EPSS
0.8% chance of exploitation in the next 30 days; higher than 57% of CVEs (scores of 2026-10-31)
CWE
CWE-908
Published
Modified
Record from
the NVD, synced

Affected

Packages (OSV)

AdvisoryEcosystemPackageAffectedFixed in
GHSA-rjjg-hgv6-h69vPyPItensorflow>=2.2.0 <2.2.12.2.1
GHSA-rjjg-hgv6-h69vPyPItensorflow>=2.3.0 <2.3.12.3.1
GHSA-rjjg-hgv6-h69vPyPItensorflow-cpu>=2.2.0 <2.2.12.2.1
GHSA-rjjg-hgv6-h69vPyPItensorflow-cpu>=2.3.0 <2.3.12.3.1
GHSA-rjjg-hgv6-h69vPyPItensorflow-gpu>=2.2.0 <2.2.12.2.1
GHSA-rjjg-hgv6-h69vPyPItensorflow-gpu>=2.3.0 <2.3.12.3.1
PYSEC-2020-116PyPItensorflow<2.2.1
>=2.3.0rc0 <2.3.1		2.2.1, 2.3.1
PYSEC-2020-273PyPItensorflow-cpu<2.2.1
>=2.3.0rc0 <2.3.1		2.2.1, 2.3.1
PYSEC-2020-308PyPItensorflow-gpu<2.2.1
>=2.3.0rc0 <2.3.1		2.2.1, 2.3.1

References

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