GSD-2019-16778
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-16778",
"description": "In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.",
"id": "GSD-2019-16778",
"references": [
"https://www.suse.com/security/cve/CVE-2019-16778.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-16778"
],
"details": "In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.",
"id": "GSD-2019-16778",
"modified": "2023-12-13T01:23:40.803777Z",
"schema_version": "1.4.0"
}
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}
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},
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"attackVector": "NETWORK",
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"baseScore": 2.6,
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:L",
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"discovery": "UNKNOWN"
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"cwe_ids": [
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"date": "2021-11-01",
"description": "In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.",
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"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2019-12-16",
"solution": "Upgrade to version 1.15 or above.",
"title": "Incorrect Conversion between Numeric Types",
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"date": "2021-11-01",
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"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2019-12-16",
"solution": "Upgrade to version 1.15 or above.",
"title": "Incorrect Conversion between Numeric Types",
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"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
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"CWE-787",
"CWE-937"
],
"date": "2019-12-19",
"description": "In TensorFlow, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is `int32`. In this case data_size and num_segments fields are truncated from `int64` to `int32` and can produce negative numbers, resulting in accessing out-of-bounds heap memory.",
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"package_slug": "pypi/tensorflow",
"pubdate": "2019-12-16",
"solution": "Upgrade to version 1.15.0 or above.",
"title": "Out-of-bounds Write",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2019-16778"
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"uuid": "bcc12247-ba9e-4cc6-bc96-133554535436"
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},
"lastModifiedDate": "2021-10-29T15:03Z",
"publishedDate": "2019-12-16T21:15Z"
}
}
}
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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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