5.5
CVSSv3

CVE-2021-37661

Published: 12/08/2021 Updated: 18/08/2021
CVSS v2 Base Score: 2.1 | Impact Score: 2.9 | Exploitability Score: 3.9
CVSS v3 Base Score: 5.5 | Impact Score: 3.6 | Exploitability Score: 1.8
VMScore: 187
Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P

Vulnerability Summary

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](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](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.

Vulnerability Trend

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google tensorflow

google tensorflow 2.5.0

google tensorflow 2.6.0

Vendor Advisories

In TensorFlow before version 260 an attacker can cause a denial of service in boosted_trees_create_quantile_stream_resource by using negative arguments The implementation does not validate that num_streams only contains non-negative numbers In turn, this results in using this value to allocate memory However, reserve receives an unsigned integ ...