PyPi: Tensorflow

CVE-2021-37672

Safety vulnerability ID: 41147

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Aug 12, 2021 Updated at Oct 25, 2024
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Advisory

Tensorflow version 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37672:
In affected versions, an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to "tf.raw_ops.SdcaOptimizerV2". The implementation (https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of "example_labels" is the same as the number of examples. The Tensorflow team has patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hj3-vjjf-f5m7
https://github.com/tensorflow/tensorflow/commit/a4e138660270e7599793fa438cd7b2fc2ce215a6

Affected package

tensorflow

Latest version: 2.18.0

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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. See CVE-2021-37672.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hj3-vjjf-f5m7: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hj3-vjjf-f5m7
MISC:https://github.com/tensorflow/tensorflow/commit/a4e138660270e7599793fa438cd7b2fc2ce215a6: https://github.com/tensorflow/tensorflow/commit/a4e138660270e7599793fa438cd7b2fc2ce215a6

Resources

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Severity Details

CVSS Base Score

MEDIUM 5.5

CVSS v3 Details

MEDIUM 5.5
Attack Vector (AV)
LOCAL
Attack Complexity (AC)
LOW
Privileges Required (PR)
LOW
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
NONE
Availability Availability (A)
NONE

CVSS v2 Details

LOW 2.1
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
NONE
Availability Impact (A)
NONE