CVE-2021-37669

Severity CVSS v4.0:

Pending analysis

Type:

Unavailable / Other

Publication date:

12/08/2021

Last modified:

19/08/2021

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.

Impact

Vector 3.x

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CVSS v3.1 Severity and Metrics:

Base Score: 5.50 MEDIUM
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): Low
User Interaction (UI): None
Scope (S): Unchanged
Confidentiality (C): None
Integrity (I): None
Availability (A): High

Base Score 3.x

5.50

Severity 3.x

MEDIUM

Vector 2.0

AV:L/AC:L/Au:N/C:N/I:N/A:P CVSS v2.0 Severity and Metrics:

Base Score: 2.10 LOW
Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P

Attack Vector (AV): Local
Attack Complexity (AC): Low
Authentication (Au): None
Confidentiality (C): None
Integrity (I): None
Availability (A): Physical

Base Score 2.0

2.10

Severity 2.0

LOW

Vulnerable products and versions

CPE	From	Up to
cpe:2.3:a:google:tensorflow::::::::	2.3.0 (including)	2.3.4 (excluding)
cpe:2.3:a:google:tensorflow::::::::	2.4.0 (including)	2.4.3 (excluding)
cpe:2.3:a:google:tensorflow:2.5.0:::::::*
cpe:2.3:a:google:tensorflow:2.6.0:rc0::::::
cpe:2.3:a:google:tensorflow:2.6.0:rc1::::::
cpe:2.3:a:google:tensorflow:2.6.0:rc2::::::

To consult the complete list of CPE names with products and versions, see this page

CVE-2021-37669

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools