What’s Vulnerable › Vulnerabilities
CVE-2022-41887: Overflow in `tf.keras.losses.poisson` in Tensorflow
- Severity: high (CVSS 7.5 v3.1)
- Exploited in the wild: not listed in CISA KEV
- EPSS: 0.5% probability of exploitation in the next 30 days
- Public exploit or detection template: yes
- Published: 2022-11-18 · updated 2026-06-17
- Weakness: 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 products
- tensorflow: from 2.9.0 before 2.9.3; 2.10.0 — fixed in 2.9.3
How to fix
Upgrade to a fixed version: tensorflow 2.9.3. Check the vendor advisory for mitigations.
References
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py
- https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py
- https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
Get alerted when CVE-2022-41887 or the next vulnerability affects your stack