PYSEC-2021-396
Vulnerability from pysec - Published: 2021-11-05 21:15 - Updated: 2021-11-13 06:52
VLAI?
Details
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and CHECK-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Impacted products
| Name | purl | tensorflow | pkg:pypi/tensorflow |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow",
"purl": "pkg:pypi/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "368af875869a204b4ac552b9ddda59f6a46a56ec"
},
{
"fixed": "abcced051cb1bd8fb05046ac3b6023a7ebcc4578"
},
{
"fixed": "e8dc63704c88007ee4713076605c90188d66f3d2"
},
{
"fixed": "b619c6f865715ca3b15ef1842b5b95edbaa710ad"
}
],
"repo": "https://github.com/tensorflow/tensorflow",
"type": "GIT"
},
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.4.4"
},
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.2"
},
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.1"
},
{
"introduced": "2.7.0rc0"
},
{
"fixed": "2.7.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.12.0",
"0.12.1",
"1.0.0",
"1.0.1",
"1.1.0",
"1.10.0",
"1.10.1",
"1.11.0",
"1.12.0",
"1.12.2",
"1.12.3",
"1.13.1",
"1.13.2",
"1.14.0",
"1.15.0",
"1.15.2",
"1.15.3",
"1.15.4",
"1.15.5",
"1.2.0",
"1.2.1",
"1.3.0",
"1.4.0",
"1.4.1",
"1.5.0",
"1.5.1",
"1.6.0",
"1.7.0",
"1.7.1",
"1.8.0",
"1.9.0",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.0.4",
"2.1.0",
"2.1.1",
"2.1.2",
"2.1.3",
"2.1.4",
"2.2.0",
"2.2.0rc0",
"2.2.0rc1",
"2.2.0rc2",
"2.2.0rc3",
"2.2.0rc4",
"2.2.1",
"2.2.2",
"2.2.3",
"2.3.0",
"2.3.0rc0",
"2.3.0rc1",
"2.3.0rc2",
"2.3.1",
"2.3.2",
"2.3.3",
"2.3.4",
"2.4.0",
"2.4.0rc0",
"2.4.0rc1",
"2.4.0rc2",
"2.4.0rc3",
"2.4.0rc4",
"2.4.1",
"2.4.2",
"2.4.3",
"2.5.0",
"2.5.1",
"2.6.0",
"2.7.0rc0",
"2.7.0rc1"
]
}
],
"aliases": [
"CVE-2021-41203",
"GHSA-7pxj-m4jf-r6h2"
],
"details": "TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
"id": "PYSEC-2021-396",
"modified": "2021-11-13T06:52:42.793363Z",
"published": "2021-11-05T21:15:00Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2"
},
{
"type": "FIX",
"url": "https://github.com/tensorflow/tensorflow/commit/368af875869a204b4ac552b9ddda59f6a46a56ec"
},
{
"type": "FIX",
"url": "https://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b6023a7ebcc4578"
},
{
"type": "FIX",
"url": "https://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c90188d66f3d2"
},
{
"type": "FIX",
"url": "https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b95edbaa710ad"
}
]
}
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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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