GHSA-X4QX-4FJV-HMW6
Vulnerability from github – Published: 2022-02-09 23:45 – Updated: 2024-11-13 22:33
VLAI?
Summary
Integer overflow leading to crash in Tensorflow
Details
Impact
The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation:
import tensorflow as tf
import numpy as np
tf.raw_ops.SparseCountSparseOutput(
indices=[[1,1]],
values=[2],
dense_shape=[2 ** 31, 2 ** 32],
weights=[1],
binary_output=True,
minlength=-1,
maxlength=-1,
name=None)
Patches
We have patched the issue in GitHub commit 6f4d3e8139ec724dbbcb40505891c81dd1052c4a.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Faysal Hossain Shezan from University of Virginia.
Severity ?
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
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"fixed": "2.5.3"
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"type": "ECOSYSTEM"
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"package": {
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"name": "tensorflow"
},
"ranges": [
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{
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"name": "tensorflow"
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"package": {
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"name": "tensorflow-cpu"
},
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{
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{
"package": {
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"name": "tensorflow-cpu"
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"ranges": [
{
"events": [
{
"introduced": "2.6.0"
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{
"fixed": "2.6.3"
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{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
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"ranges": [
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"events": [
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"introduced": "2.7.0"
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{
"fixed": "2.7.1"
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"versions": [
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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"ranges": [
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"introduced": "0"
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{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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},
{
"fixed": "2.6.3"
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.7.0"
]
}
],
"aliases": [
"CVE-2022-21738"
],
"database_specific": {
"cwe_ids": [
"CWE-190"
],
"github_reviewed": true,
"github_reviewed_at": "2022-02-03T20:03:36Z",
"nvd_published_at": "2022-02-03T14:15:00Z",
"severity": "HIGH"
},
"details": "### Impact \nThe [implementation of `SparseCountSparseOutput`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273) can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation:\n\n```python\nimport tensorflow as tf\nimport numpy as np\n \ntf.raw_ops.SparseCountSparseOutput(\n indices=[[1,1]],\n values=[2],\n dense_shape=[2 ** 31, 2 ** 32],\n weights=[1],\n binary_output=True,\n minlength=-1,\n maxlength=-1,\n name=None)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [6f4d3e8139ec724dbbcb40505891c81dd1052c4a](https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a).\n\nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 by Faysal Hossain Shezan from University of Virginia.",
"id": "GHSA-x4qx-4fjv-hmw6",
"modified": "2024-11-13T22:33:01Z",
"published": "2022-02-09T23:45:09Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x4qx-4fjv-hmw6"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21738"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-62.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-117.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Integer overflow leading to crash in Tensorflow"
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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