Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37651Heap buffer overflow in `FractionalAvgPoolGrad` in TensorFlow

High 7.1

In plain English

A high-severity out-of-bounds read in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 7% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.1High
Exploit odds (30 days)0.2%top 93.0% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.4, 2.4.3PYSEC-2021-273
PyPItensorflow2.3.4GHSA-hpv4-7p9c-mvfr
PyPItensorflow2.4.3GHSA-hpv4-7p9c-mvfr
PyPItensorflow2.5.1GHSA-hpv4-7p9c-mvfr
PyPItensorflow-cpu2.4.3GHSA-hpv4-7p9c-mvfr
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-564
PyPItensorflow-cpu2.3.4GHSA-hpv4-7p9c-mvfr
PyPItensorflow-cpu2.5.1GHSA-hpv4-7p9c-mvfr
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-762
PyPItensorflow-gpu2.3.4GHSA-hpv4-7p9c-mvfr
PyPItensorflow-gpu2.4.3GHSA-hpv4-7p9c-mvfr
PyPItensorflow-gpu2.5.1GHSA-hpv4-7p9c-mvfr

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4

Weakness: CWE-125 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

References