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.
Published 2022-11-18 22:15:15
Updated 2022-11-22 21:55:40
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2022-41887

0.16%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 53 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-41887

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
7.5
HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
NIST
4.8
MEDIUM CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
1.2
3.6
GitHub, Inc.

CWE ids for CVE-2022-41887

  • The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2022-41887

Products affected by CVE-2022-41887

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