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Auto-merge PR#4360

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Auto-merge PR#4360
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CVE Team 2022-02-03 06:45:15 -05:00 committed by GitHub
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2022/23xxx/CVE-2022-23568.json
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{
"data_type": "CVE",
"data_format": "MITRE",
"data_version": "4.0",
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23568",
"ASSIGNER": "cve@mitre.org",
"STATE": "RESERVED"
"STATE": "PUBLIC",
"TITLE": "Integer overflows in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": ">= 2.7.0, < 2.7.1"
},
{
"version_value": ">= 2.6.0, < 2.6.3"
},
{
"version_value": "< 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "** RESERVED ** This candidate has been reserved by an organization or individual that will use it when announcing a new security problem. When the candidate has been publicized, the details for this candidate will be provided."
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc"
}
]
},
"source": {
"advisory": "GHSA-6445-fm66-fvq2",
"discovery": "UNKNOWN"
}
}