Home/CVE/TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` t
CVE

CVE-2022-41887

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` t

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.

MEDIUM · CVSS 4.8 EPSS 0.00142
Schedule remediation
  • Public exploit or PoC is available
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-131Incorrect Calculation of Buffer Size
▤

Affected Products & Versions

2
google tensorflow>= 2.9.0 and < 2.9.3
google tensorflowall versions
▤

Affected Packages

3
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI tensorflow MODERATE fixed in 2.9.3
PyPI tensorflow-cpu MODERATE fixed in 2.9.3
PyPI tensorflow-gpu MODERATE fixed in 2.9.3
⚠

Public Exploits & PoCs

1
pocgithub.com · GHSA-8fvv-46hw-vpg3github.com
▣

Scoring & Timeline

4.8
MEDIUM · CVSS v3.1 · security-advisories@github.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD18 Nov 2022 · 10:15 PM
CVSS VectorCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
SSVC triage · cisa-vulnrichment
Exploitation
poc
Automatable
no
Technical impact
partial
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.
🔗

References & Sources

3
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.hThird Party Advisory
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.pyThird Party Advisory
https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7cPatchThird Party Advisory
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