CVE-2022-29210: Tensorflow Heap Buffer Overflow Due To Vulnerability
MODERATECVE-2022-29210 is a MODERATE (CVSS 5.5) heap buffer overflow due to vulnerability (CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves heap buffer overflow due to incorrect hash function in tensorflow. Remediation is available by upgrading affected packages to version 2.8.1.
CVE-2022-29210 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-2022-29210
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>=2.8.1pip install tensorflow-cpu>=2.8.1pip install tensorflow-gpu>=2.8.1Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show tensorflowHow to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2022-29210, inspect your installed packages using pip:
pip show tensorflowAnalyze 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 2.8.1), 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-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow'), where the product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer. 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-2022-29210 Affected Tensorflow Versions
3 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
tensorflow
|
PyPI |
≥ 2.8.0
< 2.8.1
|
2.8.1
|
|
tensorflow-cpu
|
PyPI |
≥ 2.8.0
< 2.8.1
|
2.8.1
|
|
tensorflow-gpu
|
PyPI |
≥ 2.8.0
< 2.8.1
|
2.8.1
|
References
Frequently Asked Questions
What is CVE-2022-29210?
Which Tensorflow versions are affected?
What version fixes CVE-2022-29210?
Is tensorflow affected?
Is tensorflow-cpu affected?
What is the CVSS score of CVE-2022-29210?
What CWE is associated with CVE-2022-29210?
How can I check PyPI dependencies for CVE-2022-29210?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-hc2f-7r5r-r2hg",
"modified" : "2022-06-06T18:13:49Z",
"published" : "2022-05-24T22:15:20Z",
"aliases" : [ "CVE-2022-29210" ],
"summary" : "Heap buffer overflow due to incorrect hash function in TensorFlow",
"details" : "### Impact\nThe [`TensorKey` hash function](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64) used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. We couldn't use this byte vector anyways, since types like `tstring` include pointers, whereas we need to hash the string values themselves.\n\n### Patches\nWe have patched the issue in GitHub commit [1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6](https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6).\n\nThe fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, which is the only other affected version.\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.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "2.8.0"
}, {
"fixed" : "2.8.1"
} ]
} ]
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow-cpu"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "2.8.0"
}, {
"fixed" : "2.8.1"
} ]
} ]
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "tensorflow-gpu"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "2.8.0"
}, {
"fixed" : "2.8.1"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc2f-7r5r-r2hg"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2022-29210"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/tensorflow/tensorflow"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
}, {
"type" : "WEB",
"url" : "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-120", "CWE-787" ],
"severity" : "MODERATE",
"github_reviewed" : true,
"github_reviewed_at" : "2022-05-24T22:15:20Z",
"nvd_published_at" : "2022-05-21T00:15:00Z"
}
}