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vuln-cve/data/2020/15xxx/CVE-2020-15196.json
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{
"containers": {
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "= 2.3.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-119",
"description": "{\"CWE-119\":\"Improper Restriction of Operations within the Bounds of a Memory Buffer\"}",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-122",
"description": "{\"CWE-122\":\"Heap-based Buffer Overflow\"}",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2020-09-25T18:40:36.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
},
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph"
}
],
"source": {
"advisory": "GHSA-pg59-2f92-5cph",
"discovery": "UNKNOWN"
},
"title": "Heap buffer overflow in Tensorflow",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2020-15196",
"STATE": "PUBLIC",
"TITLE": "Heap buffer overflow in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
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{
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"data_format": "MITRE",
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"data_version": "4.0",
"description": {
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{
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"value": "In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1."
}
]
},
"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
},
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{
"description": [
{
"lang": "eng",
"value": "{\"CWE-119\":\"Improper Restriction of Operations within the Bounds of a Memory Buffer\"}"
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]
},
{
"description": [
{
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"value": "{\"CWE-122\":\"Heap-based Buffer Overflow\"}"
}
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}
]
},
"references": {
"reference_data": [
{
"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/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
},
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph",
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"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph"
}
]
},
"source": {
"advisory": "GHSA-pg59-2f92-5cph",
"discovery": "UNKNOWN"
}
}
},
"adp": [
{
"providerMetadata": {
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE",
"dateUpdated": "2024-08-04T13:08:22.710Z"
},
"title": "CVE Program Container",
"references": [
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
},
{
"tags": [
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],
"url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
},
{
"tags": [
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],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph"
}
]
}
]
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2020-15196",
"datePublished": "2020-09-25T18:40:36.000Z",
"dateReserved": "2020-06-25T00:00:00.000Z",
"dateUpdated": "2024-08-04T13:08:22.710Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
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