CVE-2021-37661

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in boosted_trees_create_quantile_stream_resource by using negative arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantile_ops.cc#L96) does not validate that num_streams only contains non-negative numbers. In turn, [this results in using this value to allocate memory](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantiles/quantile_stream_resource.h#L31-L40). However, reserve receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. This results in a crash from the standard library. We have patched the issue in GitHub commit 8a84f7a2b5a2b27ecf88d25bad9ac777cd2f7992. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Risk Information

Base Score
5.5
MODERATE
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.012

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.5.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.5.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.5.1Linux

Patch Details

No records found

References

https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234