gsd-2021-41225
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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-2021-41225",
"description": "TensorFlow is an open source platform for machine learning. In affected versions TensorFlow\u0027s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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-2021-41225",
"references": [
"https://www.suse.com/security/cve/CVE-2021-41225.html",
"https://security.archlinux.org/CVE-2021-41225"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-41225"
],
"details": "TensorFlow is an open source platform for machine learning. In affected versions TensorFlow\u0027s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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-2021-41225",
"modified": "2023-12-13T01:23:26.984007Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2021-41225",
"STATE": "PUBLIC",
"TITLE": "A use of uninitialized value vulnerability in Tensorflow"
},
"affects": {
"vendor": {
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{
"product": {
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{
"product_name": "tensorflow",
"version": {
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"version_value": "\u003e= 2.6.0, \u003c 2.6.1"
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"value": "TensorFlow is an open source platform for machine learning. In affected versions TensorFlow\u0027s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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"value": "CWE-908: Use of Uninitialized Resource"
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"discovery": "UNKNOWN"
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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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"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. In affected versions TensorFlow\u0027s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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": [
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"2.4.4",
"2.4.4"
],
"identifier": "CVE-2021-41225",
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"GHSA-7r94-xv9v-63jw",
"CVE-2021-41225"
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"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": "Use of Uninitialized Resource",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw",
"https://nvd.nist.gov/vuln/detail/CVE-2021-41225",
"https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3",
"https://github.com/advisories/GHSA-7r94-xv9v-63jw"
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"uuid": "7147bc66-9144-427d-9cb5-6908f3dda384"
},
{
"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:N/I:N/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-908",
"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. In affected versions TensorFlow\u0027s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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-2021-41225",
"identifiers": [
"GHSA-7r94-xv9v-63jw",
"CVE-2021-41225"
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"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": "Use of Uninitialized Resource",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw",
"https://nvd.nist.gov/vuln/detail/CVE-2021-41225",
"https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3",
"https://github.com/advisories/GHSA-7r94-xv9v-63jw"
],
"uuid": "b1d91277-2e4a-4dd2-8bcb-dff46a96746c"
},
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"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:N/I:N/A:P",
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"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning.If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized.",
"fixed_versions": [
"2.4.4",
"2.5.2",
"2.6.1"
],
"identifier": "CVE-2021-41225",
"identifiers": [
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"GHSA-7r94-xv9v-63jw"
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"not_impacted": "All versions before 2.4.0, all versions starting from 2.4.4 before 2.5.0, all versions starting from 2.5.2 before 2.6.0, all versions starting from 2.6.1 before 2.7.0, all versions after 2.7.0",
"package_slug": "pypi/tensorflow",
"pubdate": "2021-11-05",
"solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.",
"title": "Use of Uninitialized Resource",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-41225",
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw"
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"impact": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.1,
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"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
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"exploitabilityScore": 3.9,
"impactScore": 2.9,
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"impactScore": 5.9
}
},
"lastModifiedDate": "2021-11-10T16:55Z",
"publishedDate": "2021-11-05T23:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
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- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- 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.