CVE-2021-41202: Tensorflow Overflow/crash Vulnerability
MODERATECVE-2021-41202 is a MODERATE (CVSS 5.5) overflow/crash vulnerability (CWE-681: Incorrect Conversion between Numeric Types) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves overflow/crash in `tf.range`. Remediation is available by upgrading affected packages to version 2.6.1, 2.5.2, 2.4.4.
CVE-2021-41202 at a Glance
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).
How to Fix CVE-2021-41202
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.
pip install tensorflow>=2.6.1
pip install tensorflow>=2.5.2
pip install tensorflow>=2.4.4
pip install tensorflow-cpu>=2.6.1
pip install tensorflow-cpu>=2.5.2
pip install tensorflow-cpu>=2.4.4
pip install tensorflow-gpu>=2.6.1
pip install tensorflow-gpu>=2.5.2
pip install tensorflow-gpu>=2.4.4
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-2021-41202, 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-681: Incorrect Conversion between Numeric Types, where when converting from one data type to another, such as long to integer, data can be omitted or translated in a way that produces unexpected values. if the resulting values are used in a sensitive context, then dangerous behaviors may occur. 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
CVE-2021-41202 Affected Tensorflow Versions
9 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
tensorflow
|
PyPI |
≥ 2.6.0
< 2.6.1
|
2.6.1
|
|
tensorflow
|
PyPI |
≥ 2.5.0
< 2.5.2
|
2.5.2
|
|
tensorflow
|
PyPI |
< 2.4.4
|
2.4.4
|
|
tensorflow-cpu
|
PyPI |
≥ 2.6.0
< 2.6.1
|
2.6.1
|
|
tensorflow-cpu
|
PyPI |
≥ 2.5.0
< 2.5.2
|
2.5.2
|
|
tensorflow-cpu
|
PyPI |
< 2.4.4
|
2.4.4
|
|
tensorflow-gpu
|
PyPI |
≥ 2.6.0
< 2.6.1
|
2.6.1
|
|
tensorflow-gpu
|
PyPI |
≥ 2.5.0
< 2.5.2
|
2.5.2
|
|
tensorflow-gpu
|
PyPI |
< 2.4.4
|
2.4.4
|
References
Frequently Asked Questions
What is CVE-2021-41202?
Which Tensorflow versions are affected?
What version fixes CVE-2021-41202?
Is tensorflow affected?
Is tensorflow-cpu affected?
What is the CVSS score of CVE-2021-41202?
What CWE is associated with CVE-2021-41202?
How can I check PyPI dependencies for CVE-2021-41202?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-xrqm-fpgr-6hhx",
"modified" : "2024-11-13T21:48:29Z",
"published" : "2021-11-10T19:13:16Z",
"aliases" : [ "CVE-2021-41202" ],
"summary" : "Overflow/crash in `tf.range`",
"details" : "### Impact\nWhile calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows:\n\n```python\nimport tensorflow as tf\n\ntf.sparse.eye(num_rows=9223372036854775807, num_columns=None)\n```\n \nSimilarly, `tf.range` would result in crashes due to overflows if the start or end point are too large.\n\n```python\nimport tensorflow as tf\n\ntf.range(start=-1e+38, limit=1)\n```\n\n### Patches\nWe have patched the issue in GitHub commits [6d94002a09711d297dbba90390d5482b76113899](https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899) (merging [#51359](https://github.com/tensorflow/tensorflow/pull/51359)) and [1b0e0ec27e7895b9985076eab32445026ae5ca94](https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94) (merging [#51711](https://github.com/tensorflow/tensorflow/pull/51711)).\n\nThe 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.\n\n### For more information\nPlease 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.\n\n### Attribution\nThis vulnerability has been reported externally via [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46912), [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46899) and [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46889).\n",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"
}, {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "2.6.0"
}, {
"fixed" : "2.6.1"
} ]
} ]
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow"
},
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"introduced" : "2.5.0"
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"fixed" : "2.5.2"
} ]
} ]
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow"
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}, {
"package" : {
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"name" : "tensorflow-cpu"
},
"ranges" : [ {
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"events" : [ {
"introduced" : "2.6.0"
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}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow-cpu"
},
"ranges" : [ {
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"events" : [ {
"introduced" : "2.5.0"
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}, {
"package" : {
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"name" : "tensorflow-cpu"
},
"ranges" : [ {
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"events" : [ {
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}, {
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} ]
}, {
"package" : {
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"name" : "tensorflow-gpu"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "2.6.0"
}, {
"fixed" : "2.6.1"
} ]
} ]
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow-gpu"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "2.5.0"
}, {
"fixed" : "2.5.2"
} ]
} ]
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow-gpu"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "2.4.4"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrqm-fpgr-6hhx"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2021-41202"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/issues/46889"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/issues/46912"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-612.yaml"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-810.yaml"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-395.yaml"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/tensorflow/tensorflow"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-681" ],
"severity" : "MODERATE",
"github_reviewed" : true,
"github_reviewed_at" : "2021-11-08T22:47:54Z",
"nvd_published_at" : "2021-11-05T22:15:00Z"
}
}