GSD-2021-41225
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
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": [
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],
"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",
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}
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"TITLE": "A use of uninitialized value vulnerability in Tensorflow"
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}
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"impact": {
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
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"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.",
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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",
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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",
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"identifier": "CVE-2021-41225",
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"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",
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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": "Use of Uninitialized Resource",
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"lastModifiedDate": "2021-11-10T16:55Z",
"publishedDate": "2021-11-05T23:15Z"
}
}
}
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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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