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Add CVE-2020-15202 for GHSA-h6fg-mjxg-hqq4

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Robert Schultheis 2020-09-25 11:29:19 -06:00
parent 14b049c87a
commit 34badedd62
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2020/15xxx/CVE-2020-15202.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-2020-15202",
"ASSIGNER": "cve@mitre.org",
"STATE": "RESERVED"
"STATE": "PUBLIC",
"TITLE": "Integer truncation in Shard API usage"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "< 1.15.4"
},
{
"version_value": ">= 2.0.0, < 2.0.3"
},
{
"version_value": ">= 2.1.0, < 2.1.2"
},
{
"version_value": ">= 2.2.0, < 2.2.1"
},
{
"version_value": ">= 2.3.0, < 2.3.1"
}
]
}
}
]
},
"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": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments.\n\nHowever, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used.\n\nIn these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption.\n\nThe issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "{\"CWE-197\":\"Numeric Truncation Error\"}"
}
]
},
{
"description": [
{
"lang": "eng",
"value": "{\"CWE-754\":\"Improper Check for Unusual or Exceptional Conditions\"}"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6fg-mjxg-hqq4",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6fg-mjxg-hqq4"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/27b417360cbd671ef55915e4bb6bb06af8b8a832",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/27b417360cbd671ef55915e4bb6bb06af8b8a832"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/ca8c013b5e97b1373b3bb1c97ea655e69f31a575",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/ca8c013b5e97b1373b3bb1c97ea655e69f31a575"
}
]
},
"source": {
"advisory": "GHSA-h6fg-mjxg-hqq4",
"discovery": "UNKNOWN"
}
}