ghsa-rcf8-g8jv-vg6p
Vulnerability from github
Published
2023-03-24 21:56
Modified
2023-03-30 22:16
Severity ?
Summary
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
Details
Impact
If the stride and window size are not positive for tf.raw_ops.AvgPoolGrad, it can give an FPE.
```python import tensorflow as tf import numpy as np
@tf.function(jit_compile=True) def test(): y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW") return y
print(test()) ```
Patches
We have patched the issue in GitHub commit 1295ae4dbb52fe06b19733b0257e2340d7b63b8d.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 r3pwnx of 360 AIVul Team
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2023-25669"
],
"database_specific": {
"cwe_ids": [
"CWE-697"
],
"github_reviewed": true,
"github_reviewed_at": "2023-03-24T21:56:53Z",
"nvd_published_at": "2023-03-25T00:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nIf the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE.\n\n```python\nimport tensorflow as tf\nimport numpy as np\n\n@tf.function(jit_compile=True)\ndef test():\n y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding=\"SAME\", data_format=\"NCHW\")\n return y\n\nprint(test())\n```\n\n### Patches\nWe have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\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\n### Attribution\nThis vulnerability has been reported by r3pwnx of 360 AIVul Team\n",
"id": "GHSA-rcf8-g8jv-vg6p",
"modified": "2023-03-30T22:16:24Z",
"published": "2023-03-24T21:56:53Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25669"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "TensorFlow has Floating Point Exception in AvgPoolGrad with XLA"
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.