pysec-2020-139
Vulnerability from pysec
Published
2020-10-21 21:15
Modified
2021-09-01 08:19
Details
In Tensorflow before version 2.4.0, when the boxes argument of tf.image.crop_and_resize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Impacted products
| Name | purl | tensorflow | pkg:pypi/tensorflow |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow",
"purl": "pkg:pypi/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.4.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.12.0rc0",
"0.12.0rc1",
"0.12.0",
"0.12.1",
"1.0.0",
"1.0.1",
"1.1.0rc0",
"1.1.0rc1",
"1.1.0rc2",
"1.1.0",
"1.2.0rc0",
"1.2.0rc1",
"1.2.0rc2",
"1.2.0",
"1.2.1",
"1.3.0rc0",
"1.3.0rc1",
"1.3.0rc2",
"1.3.0",
"1.4.0rc0",
"1.4.0rc1",
"1.4.0",
"1.4.1",
"1.5.0rc0",
"1.5.0rc1",
"1.5.0",
"1.5.1",
"1.6.0rc0",
"1.6.0rc1",
"1.6.0",
"1.7.0rc0",
"1.7.0rc1",
"1.7.0",
"1.7.1",
"1.8.0rc0",
"1.8.0rc1",
"1.8.0",
"1.9.0rc0",
"1.9.0rc1",
"1.9.0rc2",
"1.9.0",
"1.10.0rc0",
"1.10.0rc1",
"1.10.0",
"1.10.1",
"1.11.0rc0",
"1.11.0rc1",
"1.11.0rc2",
"1.11.0",
"1.12.0rc0",
"1.12.0rc1",
"1.12.0rc2",
"1.12.0",
"1.12.2",
"1.12.3",
"1.13.0rc0",
"1.13.0rc1",
"1.13.0rc2",
"1.13.1",
"1.13.2",
"1.14.0rc0",
"1.14.0rc1",
"1.14.0",
"1.15.0rc0",
"1.15.0rc1",
"1.15.0rc2",
"1.15.0rc3",
"1.15.0",
"1.15.2",
"1.15.3",
"1.15.4",
"1.15.5",
"2.0.0a0",
"2.0.0b0",
"2.0.0b1",
"2.0.0rc0",
"2.0.0rc1",
"2.0.0rc2",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.0.4",
"2.1.0rc0",
"2.1.0rc1",
"2.1.0rc2",
"2.1.0",
"2.1.1",
"2.1.2",
"2.1.3",
"2.2.0rc0",
"2.2.0rc1",
"2.2.0rc2",
"2.2.0rc3",
"2.2.0rc4",
"2.2.0",
"2.2.1",
"2.2.2",
"2.3.0rc0",
"2.3.0rc1",
"2.3.0rc2",
"2.3.0",
"2.3.1",
"2.3.2",
"2.4.0rc0",
"2.4.0rc1",
"2.4.0rc2",
"2.4.0rc3",
"2.4.0rc4",
"2.1.4",
"2.2.3",
"2.3.3",
"2.3.4"
]
}
],
"aliases": [
"CVE-2020-15266",
"GHSA-xwhf-g6j5-j5gc"
],
"details": "In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.",
"id": "PYSEC-2020-139",
"modified": "2021-09-01T08:19:35.637564Z",
"published": "2020-10-21T21:15:00Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845"
},
{
"type": "REPORT",
"url": "https://github.com/tensorflow/tensorflow/issues/42129"
},
{
"type": "ADVISORY",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc"
}
]
}
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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.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
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