Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37685Heap OOB in TensorFlow Lite

Medium 5.5

In plain English

A medium-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)5.5Medium
Exploit odds (30 days)0.2%top 93.4% 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 TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. 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-2021-307
PyPItensorflow2.3.4GHSA-c545-c4f9-rf6v
PyPItensorflow2.4.3GHSA-c545-c4f9-rf6v
PyPItensorflow2.5.1GHSA-c545-c4f9-rf6v
PyPItensorflow-cpu2.4.3GHSA-c545-c4f9-rf6v
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-598
PyPItensorflow-cpu2.3.4GHSA-c545-c4f9-rf6v
PyPItensorflow-cpu2.5.1GHSA-c545-c4f9-rf6v
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-796
PyPItensorflow-gpu2.3.4GHSA-c545-c4f9-rf6v
PyPItensorflow-gpu2.4.3GHSA-c545-c4f9-rf6v
PyPItensorflow-gpu2.5.1GHSA-c545-c4f9-rf6v

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:N/A:N

References