CVE-2021-29545: Tensorflow gpu Heap Buffer Overflow Vulnerability

Q: What is CVE-2021-29545?

CVE-2021-29545 is a security vulnerability in Tensorflow gpu involving Heap buffer overflow in `SparseTensorToCSRSparseMatrix` under CWE-131: Incorrect Calculation of Buffer Size.

Q: Which Tensorflow gpu versions are affected?

Affected versions include releases prior to 2.4.2, 2.1.4, 2.2.3, 2.3.3 across affected packages: tensorflow-gpu, tensorflow, tensorflow-cpu.

Q: What version fixes CVE-2021-29545?

Upgrading to 2.4.2, 2.1.4, 2.2.3, 2.3.3 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow-gpu affected?

Yes, tensorflow-gpu is affected in releases prior to 2.4.2, 2.1.4, 2.2.3, 2.3.3. Upgrade your dependency to 2.4.2, 2.1.4, 2.2.3, 2.3.3 or later.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.1.4, 2.2.3, 2.3.3, 2.4.2. Upgrade your dependency to 2.1.4, 2.2.3, 2.3.3, 2.4.2 or later.

Q: What is the CVSS score of CVE-2021-29545?

CVE-2021-29545 has a CVSS v3.1 base score of 2.5 (LOW) with vector string CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L.

Q: What CWE is associated with CVE-2021-29545?

CVE-2021-29545 is classified under CWE-131: Incorrect Calculation of Buffer Size (The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.).

Q: How can I check PyPI dependencies for CVE-2021-29545?

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

LOW

Advisory Identifier: GHSA-hmg3-c7xj-6qwm

CVSS 2.5

CWE-131

Published 2021-05-21

Advisory Summary

CVE-2021-29545 is a LOW (CVSS 2.5) heap buffer overflow vulnerability (CWE-131: Incorrect Calculation of Buffer Size) affecting Tensorflow gpu libraries in the PyPI ecosystem. The issue involves heap buffer overflow in `sparsetensortocsrsparsematrix`. Remediation is available by upgrading affected packages to version 2.4.2, 2.1.4, 2.2.3, 2.3.3.

CVE-2021-29545 at a Glance

CVE Identifier CVE-2021-29545

GHSA Identifier GHSA-hmg3-c7xj-6qwm

Severity LOW

CVSS v3.1 Base Score 2.5

CWE Classification CWE-131: Incorrect Calculation of Buffer Size

Affected Product Tensorflow gpu

Package Ecosystem PyPI

Published Date 2021-05-21

Last Updated 2024-10-30

Security Impact

CVSS: 2.5

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

Attack Vector Local (AV:L)

Attack Complexity High (AC:H)

Privileges Required Low (PR:L)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability Low (A:L)

How to Fix CVE-2021-29545

To remediate this vulnerability, upgrade all affected Tensorflow gpu 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-gpu fixed: 2.4.2

pip install tensorflow-gpu>=2.4.2

tensorflow fixed: 2.1.4

pip install tensorflow>=2.1.4

tensorflow fixed: 2.2.3

pip install tensorflow>=2.2.3

tensorflow fixed: 2.3.3

pip install tensorflow>=2.3.3

tensorflow fixed: 2.4.2

pip install tensorflow>=2.4.2

tensorflow-cpu fixed: 2.1.4

pip install tensorflow-cpu>=2.1.4

tensorflow-cpu fixed: 2.2.3

pip install tensorflow-cpu>=2.2.3

tensorflow-cpu fixed: 2.3.3

pip install tensorflow-cpu>=2.3.3

tensorflow-cpu fixed: 2.4.2

pip install tensorflow-cpu>=2.4.2

tensorflow-gpu fixed: 2.1.4

pip install tensorflow-gpu>=2.1.4

tensorflow-gpu fixed: 2.2.3

pip install tensorflow-gpu>=2.2.3

tensorflow-gpu fixed: 2.3.3

pip install tensorflow-gpu>=2.3.3

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-gpu

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2021-29545, inspect your installed packages using pip:

pip show tensorflow-gpu

Analyze the terminal output to locate any version of Tensorflow gpu in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.4.2), your application is affected.

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

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-131: Incorrect Calculation of Buffer Size, where the product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow. In Tensorflow gpu, 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 An attacker can trigger a denial of service via a `CHECK`-fail in converting sparse tensors to CSR Sparse matrices: ```python import tensorflow as tf import numpy as np from tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops indices_array = np.array([[0, 0]]) value_array = np.array([0.0], dtype=np.float32) dense_shape = [0, 0] st = tf.SparseTensor(indices_array, value_array, dense_shape) values_tensor = sparse_csr_matrix_ops.sparse_tensor_to_csr_sparse_matrix( st.indices, st.values, st.dense_shape) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap: ```cc csr_row_ptr(indices(i, 0) + 1) += 1; ``` If the value at `indices(i, 0)` is such that `indices(i, 0) + 1` is outside the bounds of `csr_row_ptr`, this results in writing outside of bounds of heap allocated data. ### Patches We have patched the issue in GitHub commit [1e922ccdf6bf46a3a52641f99fd47d54c1decd13](https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 by Yakun Zhang and Ying Wang of Baidu X-Team.

CVE-2021-29545 Affected Tensorflow gpu Versions

12 component(s)

Fixed Versions:

2.4.22.1.42.2.32.3.3

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.4.0 < 2.4.2	2.4.2
tensorflow pypi/tensorflow	PyPI	< 2.1.4	2.1.4
tensorflow pypi/tensorflow	PyPI	≥ 2.2.0 < 2.2.3	2.2.3
tensorflow pypi/tensorflow	PyPI	≥ 2.3.0 < 2.3.3	2.3.3
tensorflow pypi/tensorflow	PyPI	≥ 2.4.0 < 2.4.2	2.4.2
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.1.4	2.1.4
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.2.0 < 2.2.3	2.2.3
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.3.0 < 2.3.3	2.3.3
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.4.0 < 2.4.2	2.4.2
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.1.4	2.1.4
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.2.0 < 2.2.3	2.2.3
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.3.0 < 2.3.3	2.3.3

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm

NVD — CVE-2021-29545 NVD

https://nvd.nist.gov/vuln/detail/CVE-2021-29545

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13

Tensorflow gpu Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-473.yaml

Tensorflow gpu Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-671.yaml

Tensorflow gpu Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-182.yaml

Tensorflow gpu Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Frequently Asked Questions

What is CVE-2021-29545?

CVE-2021-29545 is a security vulnerability in Tensorflow gpu involving Heap buffer overflow in `SparseTensorToCSRSparseMatrix` under CWE-131: Incorrect Calculation of Buffer Size.

Which Tensorflow gpu versions are affected?

Affected versions include releases prior to 2.4.2, 2.1.4, 2.2.3, 2.3.3 across affected packages: tensorflow-gpu, tensorflow, tensorflow-cpu.

What version fixes CVE-2021-29545?

Upgrading to 2.4.2, 2.1.4, 2.2.3, 2.3.3 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow-gpu affected?

Yes, tensorflow-gpu is affected in releases prior to 2.4.2, 2.1.4, 2.2.3, 2.3.3. Upgrade your dependency to 2.4.2, 2.1.4, 2.2.3, 2.3.3 or later.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.1.4, 2.2.3, 2.3.3, 2.4.2. Upgrade your dependency to 2.1.4, 2.2.3, 2.3.3, 2.4.2 or later.

What is the CVSS score of CVE-2021-29545?

CVE-2021-29545 has a CVSS v3.1 base score of 2.5 (LOW) with vector string CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L.

What CWE is associated with CVE-2021-29545?

CVE-2021-29545 is classified under CWE-131: Incorrect Calculation of Buffer Size (The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.).

How can I check PyPI dependencies for CVE-2021-29545?

Run the dependency tree command: 'pip show tensorflow-gpu'. 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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CVSS V3

2.5 LOW

Attack Vector Local (AV:L)

Attack Complexity High (AC:H)

Privileges Required Low (PR:L)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability Low (A:L)

Vector String

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

Advisory Metadata

Source ID: GHSA-hmg3-c7xj-6qwm
Schema Version: 1.4.0
Published: 2021-05-21 14:23
Last Modified: 2024-10-30 22:07
Database Record File: advisories/github-reviewed/2021/05/GHSA-hmg3-c7xj-6qwm/GHSA-hmg3-c7xj-6qwm.json