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Security Advisories: GSA_kwCzR0hTQS04ZnZ2LTQ2aHctdnBnM84AAv-v
Overflow in `tf.keras.losses.poisson`
Impact
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.
import numpy as np
import tensorflow as tf
true_value = tf.reshape(shape=[1, 2500000000], tensor = tf.zeros(dtype=tf.bool, shape=[50000, 50000]))
pred_value = np.array([[[-2]], [[8]]], dtype = np.float64)
tf.keras.losses.poisson(y_true=true_value,y_pred=pred_value)
Patches
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Pattarakrit Rattankul.
Permalink: https://github.com/advisories/GHSA-8fvv-46hw-vpg3JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS04ZnZ2LTQ2aHctdnBnM84AAv-v
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: about 1 year ago
Updated: 10 months ago
CVSS Score: 4.8
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Identifiers: GHSA-8fvv-46hw-vpg3, CVE-2022-41887
References:
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
- https://nvd.nist.gov/vuln/detail/CVE-2022-41887
- 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
- https://github.com/advisories/GHSA-8fvv-46hw-vpg3
Affected Packages
pypi:tensorflow-gpu
Versions: >= 2.10.0, < 2.10.1, < 2.9.3Fixed in: 2.10.1, 2.9.3
pypi:tensorflow-cpu
Versions: >= 2.10.0, < 2.10.1, < 2.9.3Fixed in: 2.10.1, 2.9.3
pypi:tensorflow
Versions: >= 2.10.0, < 2.10.1, < 2.9.3Fixed in: 2.10.1, 2.9.3