PYSEC-2020-140
Vulnerability from pysec - Published: 2020-12-10 23:15 - Updated: 2020-12-14 19:08
VLAI?
Details
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Impacted products
| Name | purl | tensorflow | pkg:pypi/tensorflow |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow",
"purl": "pkg:pypi/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "ebc70b7a592420d3d2f359e4b1694c236b82c7ae"
}
],
"repo": "https://github.com/tensorflow/tensorflow",
"type": "GIT"
},
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.15.5"
},
{
"introduced": "2.0.0"
},
{
"fixed": "2.0.4"
},
{
"introduced": "2.1.0"
},
{
"fixed": "2.1.3"
},
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.2"
},
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.2"
}
],
"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",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.1.0",
"2.1.1",
"2.1.2",
"2.2.0",
"2.2.1",
"2.3.0",
"2.3.1"
]
}
],
"aliases": [
"CVE-2020-26267",
"GHSA-c9f3-9wfr-wgh7"
],
"details": "In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.",
"id": "PYSEC-2020-140",
"modified": "2020-12-14T19:08:00Z",
"published": "2020-12-10T23:15:00Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae"
},
{
"type": "ADVISORY",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9f3-9wfr-wgh7"
}
]
}
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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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