Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41887Overflow in `tf.keras.losses.poisson` in Tensorflow
Medium 4.8
In plain English
A medium-severity security flaw in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 43% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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 packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.10.1, 2.9.3 | PYSEC-2026-3136 |
| PyPI | tensorflow | 2.9.3 | GHSA-8fvv-46hw-vpg3 |
| PyPI | tensorflow | 2.10.1 | GHSA-8fvv-46hw-vpg3 |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-8fvv-46hw-vpg3 |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-8fvv-46hw-vpg3 |
| PyPI | tensorflow-cpu | 2.10.1, 2.9.3 | PYSEC-2026-3297 |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-8fvv-46hw-vpg3 |
| PyPI | tensorflow-gpu | 2.10.1, 2.9.3 | PYSEC-2026-970 |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-8fvv-46hw-vpg3 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.10.0, < 2.10.1< 2.9.3 |
Weakness: CWE-131 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
- https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c
- 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