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CVE-2021-37669

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.NonMaxSuppressionV5 by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a std::vector. However, as std::vector::resize takes the size argument as a size_t and output_size is an int, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in CombinedNonMaxSuppression. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. 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
0.032

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