CVE-2021-41197: Tensorflow Crashes Due To Overflow And Vulnerability

Q: What is CVE-2021-41197?

CVE-2021-41197 is a security vulnerability in Tensorflow involving Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes under CWE-190: Integer Overflow or Wraparound.

Q: Which Tensorflow versions are affected?

Affected versions include releases prior to 2.6.1, 2.5.2, 2.4.4 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

Q: What version fixes CVE-2021-41197?

Upgrading to 2.6.1, 2.5.2, 2.4.4 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

Q: Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

Q: What is the CVSS score of CVE-2021-41197?

CVE-2021-41197 has a CVSS v3.1 base score of 5.5 (MODERATE) with vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

Q: What CWE is associated with CVE-2021-41197?

CVE-2021-41197 is classified under CWE-190: Integer Overflow or Wraparound (The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.).

Q: How can I check PyPI dependencies for CVE-2021-41197?

Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.

MODERATE

Advisory Identifier: GHSA-prcg-wp5q-rv7p

CVSS 5.5

CWE-190

Published 2021-11-10

Advisory Summary

CVE-2021-41197 is a MODERATE (CVSS 5.5) crashes due to overflow and vulnerability (CWE-190: Integer Overflow or Wraparound) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves crashes due to overflow and `check`-fail in ops with large tensor shapes. Remediation is available by upgrading affected packages to version 2.6.1, 2.5.2, 2.4.4.

CVE-2021-41197 at a Glance

CVE Identifier CVE-2021-41197

GHSA Identifier GHSA-prcg-wp5q-rv7p

Severity MODERATE

CVSS v3.1 Base Score 5.5

CWE Classification CWE-190: Integer Overflow or Wraparound

Affected Product Tensorflow

Package Ecosystem PyPI

Published Date 2021-11-10

Last Updated 2024-11-13

Security Impact

CVSS: 5.5

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Attack Vector Local (AV:L)

Attack Complexity Low (AC:L)

Privileges Required Low (PR:L)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability High (A:H)

How to Fix CVE-2021-41197

To remediate this vulnerability, upgrade all affected Tensorflow dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

tensorflow fixed: 2.6.1

pip install tensorflow>=2.6.1

tensorflow fixed: 2.5.2

pip install tensorflow>=2.5.2

tensorflow fixed: 2.4.4

pip install tensorflow>=2.4.4

tensorflow-cpu fixed: 2.6.1

pip install tensorflow-cpu>=2.6.1

tensorflow-cpu fixed: 2.5.2

pip install tensorflow-cpu>=2.5.2

tensorflow-cpu fixed: 2.4.4

pip install tensorflow-cpu>=2.4.4

tensorflow-gpu fixed: 2.6.1

pip install tensorflow-gpu>=2.6.1

tensorflow-gpu fixed: 2.5.2

pip install tensorflow-gpu>=2.5.2

tensorflow-gpu fixed: 2.4.4

pip install tensorflow-gpu>=2.4.4

Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show tensorflow

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2021-41197, inspect your installed packages using pip:

pip show tensorflow

Analyze the terminal output to locate any version of Tensorflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.6.1), your application is affected.

Note: The pip show tensorflow command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-190: Integer Overflow or Wraparound, where the product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. this occurs when an integer value is incremented to a value that is too large to store in the associated representation. when this occurs, the value may become a very small or negative number. In Tensorflow, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### Impact TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. For example [`AddDim`](https://github.com/tensorflow/tensorflow/blob/0b6b491d21d6a4eb5fbab1cca565bc1e94ca9543/tensorflow/core/framework/tensor_shape.cc#L395-L408) calls should be replaced by [`AddDimWithStatus`](https://github.com/tensorflow/tensorflow/blob/0b6b491d21d6a4eb5fbab1cca565bc1e94ca9543/tensorflow/core/framework/tensor_shape.cc#L410-L440). This is similar to [CVE-2021-29584](https://github.com/tensorflow/tensorflow/blob/3a74f0307236fe206b046689c4d76f57c9b74eee/tensorflow/security/advisory/tfsa-2021-071.md) (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs). ### Patches We have patched the issue in GitHub commits [7c1692bd417eb4f9b33ead749a41166d6080af85](https://github.com/tensorflow/tensorflow/commit/7c1692bd417eb4f9b33ead749a41166d6080af85) (merging [#51732](https://github.com/tensorflow/tensorflow/pull/51732)), [d81b1351da3e8c884ff836b64458d94e4a157c15](https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15) (merging [#51717](https://github.com/tensorflow/tensorflow/pull/51717)), [a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf](https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf) (merging [#51658](https://github.com/tensorflow/tensorflow/pull/51658)), and [d81b1351da3e8c884ff836b64458d94e4a157c15](https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15) (merging [#51973](https://github.com/tensorflow/tensorflow/pull/51973)). It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported externally via [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46890), [GitHub issue](https://github.com/tensorflow/tensorflow/issues/51618) and [GitHub issue](https://github.com/tensorflow/tensorflow/issues/51908).

CVE-2021-41197 Affected Tensorflow Versions

9 component(s)

Fixed Versions:

2.6.12.5.22.4.4

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow pypi/tensorflow	PyPI	≥ 2.6.0 < 2.6.1	2.6.1
tensorflow pypi/tensorflow	PyPI	≥ 2.5.0 < 2.5.2	2.5.2
tensorflow pypi/tensorflow	PyPI	< 2.4.4	2.4.4
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.6.0 < 2.6.1	2.6.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.5.0 < 2.5.2	2.5.2
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.4.4	2.4.4
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.6.0 < 2.6.1	2.6.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.5.0 < 2.5.2	2.5.2
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.4.4	2.4.4

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p

NVD — CVE-2021-41197 NVD

https://nvd.nist.gov/vuln/detail/CVE-2021-41197

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow/issues/46890

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow/issues/51908

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/7c1692bd417eb4f9b33ead749a41166d6080af85

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-607.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-805.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-390.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Frequently Asked Questions

What is CVE-2021-41197?

CVE-2021-41197 is a security vulnerability in Tensorflow involving Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes under CWE-190: Integer Overflow or Wraparound.

Which Tensorflow versions are affected?

Affected versions include releases prior to 2.6.1, 2.5.2, 2.4.4 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

What version fixes CVE-2021-41197?

Upgrading to 2.6.1, 2.5.2, 2.4.4 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.6.1, 2.5.2, 2.4.4. Upgrade your dependency to 2.6.1, 2.5.2, 2.4.4 or later.

What is the CVSS score of CVE-2021-41197?

CVE-2021-41197 has a CVSS v3.1 base score of 5.5 (MODERATE) with vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

What CWE is associated with CVE-2021-41197?

CVE-2021-41197 is classified under CWE-190: Integer Overflow or Wraparound (The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.).

How can I check PyPI dependencies for CVE-2021-41197?

Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.

Machine-readable OSV JSON OSV v1.5 Schema

Normalized schema output

View Raw JSON

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  "database_specific" : {
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    "nvd_published_at" : "2021-11-05T20:15:00Z"
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}

CVSS V3

5.5 MODERATE

Attack Vector Local (AV:L)

Attack Complexity Low (AC:L)

Privileges Required Low (PR:L)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability High (A:H)

Vector String

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Advisory Metadata

Source ID: GHSA-prcg-wp5q-rv7p
Schema Version: 1.4.0
Published: 2021-11-10 19:35
Last Modified: 2024-11-13 21:45
Database Record File: advisories/github-reviewed/2021/11/GHSA-prcg-wp5q-rv7p/GHSA-prcg-wp5q-rv7p.json