gsd-2021-41221
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-41221",
"description": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit 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": "GSD-2021-41221",
"references": [
"https://www.suse.com/security/cve/CVE-2021-41221.html",
"https://security.archlinux.org/CVE-2021-41221"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-41221"
],
"details": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit 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": "GSD-2021-41221",
"modified": "2023-12-13T01:23:27.000457Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2021-41221",
"STATE": "PUBLIC",
"TITLE": "Access to invalid memory during shape inference in `Cudnn*` ops"
},
"affects": {
"vendor": {
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{
"product": {
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{
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"value": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
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{
"description": [
{
"lang": "eng",
"value": "CWE-120: Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)"
}
]
}
]
},
"references": {
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},
{
"name": "https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6"
}
]
},
"source": {
"advisory": "GHSA-cqv6-3phm-hcwx",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
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{
"affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
"affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4",
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"cwe_ids": [
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"CWE-787",
"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
"fixed_versions": [
"2.6.1",
"2.4.4",
"2.4.4"
],
"identifier": "CVE-2021-41221",
"identifiers": [
"GHSA-cqv6-3phm-hcwx",
"CVE-2021-41221"
],
"not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2",
"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2021-11-10",
"solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.",
"title": "Out-of-bounds Write",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx",
"https://nvd.nist.gov/vuln/detail/CVE-2021-41221",
"https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6",
"https://github.com/advisories/GHSA-cqv6-3phm-hcwx"
],
"uuid": "81a7fd52-a297-4464-a6c9-060a9c647c58"
},
{
"affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
"affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4",
"cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
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"CWE-787",
"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
"fixed_versions": [
"2.6.1",
"2.4.4",
"2.4.4"
],
"identifier": "CVE-2021-41221",
"identifiers": [
"GHSA-cqv6-3phm-hcwx",
"CVE-2021-41221"
],
"not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2",
"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2021-11-10",
"solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.",
"title": "Out-of-bounds Write",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx",
"https://nvd.nist.gov/vuln/detail/CVE-2021-41221",
"https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6",
"https://github.com/advisories/GHSA-cqv6-3phm-hcwx"
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"uuid": "5a8e2658-cd85-42ce-a4a7-576add32d910"
},
{
"affected_range": "\u003e=2.4.0,\u003c2.4.4||\u003e=2.5.0,\u003c2.5.2||\u003e=2.6.0,\u003c2.6.1||==2.7.0",
"affected_versions": "All versions starting from 2.4.0 before 2.4.4, all versions starting from 2.5.0 before 2.5.2, all versions starting from 2.6.0 before 2.6.1, version 2.7.0",
"cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
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"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values.",
"fixed_versions": [
"2.4.4",
"2.5.2",
"2.6.1"
],
"identifier": "CVE-2021-41221",
"identifiers": [
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"GHSA-cqv6-3phm-hcwx"
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"package_slug": "pypi/tensorflow",
"pubdate": "2021-11-05",
"solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.",
"title": "Out-of-bounds Write",
"urls": [
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"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx",
"https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6"
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"uuid": "eb3cc40e-84e3-48c3-b783-51a631a1a93d"
}
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"exploitabilityScore": 1.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-11-10T13:19Z",
"publishedDate": "2021-11-05T23:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
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