#VU86630 Incorrect Calculation of Buffer Size in TensorFlow - CVE-2022-41887
Published: February 20, 2024
Vulnerability identifier: #VU86630
Vulnerability risk: Medium
CVSSv4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/U:Green
CVE-ID: CVE-2022-41887
CWE-ID: CWE-131
Exploitation vector: Remote access
Exploit availability:
No public exploit available
Vulnerable software:
TensorFlow
TensorFlow
Software vendor:
TensorFlow
TensorFlow
Description
The vulnerability allows a remote attacker to perform a denial of service (DoS) attack.
The vulnerability exists due to `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. A remote attacker can trigger resource exhaustion and perform a denial of service (DoS) attack.
Remediation
Install updates from vendor's website.
External links
- 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/python/keras/losses.py
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h