Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29568Reference binding to null in `ParameterizedTruncatedNormal`

Low 2.5

In plain English

A low-severity security flaw 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 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)2.5Low
Exploit odds (30 days)0.2%top 90.6% 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. An attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`. If `shape` argument is empty, then `shape_tensor.flat<T>()` is an empty array. 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.3GHSA-4p4p-www8-8fv9
PyPItensorflow2.4.2GHSA-4p4p-www8-8fv9
PyPItensorflow2.1.4GHSA-4p4p-www8-8fv9
PyPItensorflow2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-205
PyPItensorflow2.2.3GHSA-4p4p-www8-8fv9
PyPItensorflow-cpu2.4.2GHSA-4p4p-www8-8fv9
PyPItensorflow-cpu2.1.4GHSA-4p4p-www8-8fv9
PyPItensorflow-cpu2.2.3GHSA-4p4p-www8-8fv9
PyPItensorflow-cpu2.3.3GHSA-4p4p-www8-8fv9
PyPItensorflow-cpu2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-496
PyPItensorflow-gpu2.3.3GHSA-4p4p-www8-8fv9
PyPItensorflow-gpu2.4.2GHSA-4p4p-www8-8fv9
PyPItensorflow-gpu2.1.4GHSA-4p4p-www8-8fv9
PyPItensorflow-gpu2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-694
PyPItensorflow-gpu2.2.3GHSA-4p4p-www8-8fv9

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-824 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References