CVEvulnerability

CVE-2022-41887

7.5 HIGH Published 2022-11-18 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-11-18
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
4.8 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
7.5 HIGH — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-131

Description

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

Affected configurations

• google tensorflow (>= 2.9.0 < 2.9.3) • google tensorflow 2.10.0

Related

Weakness · CWE (1)

  • CWE-131 Incorrect Calculation of Buffer Size weakness

References