GSD-2020-26268
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-26268",
"description": "In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.",
"id": "GSD-2020-26268",
"references": [
"https://www.suse.com/security/cve/CVE-2020-26268.html",
"https://security.archlinux.org/CVE-2020-26268"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.",
"id": "GSD-2020-26268",
"modified": "2023-12-13T01:22:08.978406Z",
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{
"affected_range": "(,1.15.5),[2.0.0,2.0.4),[2.1.0,2.1.3),[2.2.0,2.2.2),[2.3.0,2.3.2)",
"affected_versions": "All versions before 1.15.5, all versions starting from 2.0.0 before 2.0.4, all versions starting from 2.1.0 before 2.1.3, all versions starting from 2.2.0 before 2.2.2, all versions starting from 2.3.0 before 2.3.2",
"cvss_v2": "AV:L/AC:L/Au:N/C:N/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2020-12-14",
"description": "In affected versions of TensorFlow the `tf.raw_ops.ImmutableConst` operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden.",
"fixed_versions": [],
"identifier": "CVE-2020-26268",
"identifiers": [
"CVE-2020-26268",
"GHSA-hhvc-g5hv-48c6"
],
"not_impacted": "",
"package_slug": "maven/org.tensorflow/parentpom",
"pubdate": "2020-12-10",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Out-of-bounds Write",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-26268"
],
"uuid": "1841febe-7f96-496f-9411-ea24065d8fed"
},
{
"affected_range": "\u003c1.15.5||\u003e=2.0.0,\u003c2.0.4||\u003e=2.1.0,\u003c2.1.3||\u003e=2.2.0,\u003c2.2.2||\u003e=2.3.0,\u003c2.3.2",
"affected_versions": "All versions before 1.15.5, all versions starting from 2.0.0 before 2.0.4, all versions starting from 2.1.0 before 2.1.3, all versions starting from 2.2.0 before 2.2.2, all versions starting from 2.3.0 before 2.3.2",
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"date": "2021-01-07",
"description": "In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.",
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"identifier": "CVE-2020-26268",
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"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2020-12-10",
"solution": "Upgrade to versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or above.",
"title": "Write to immutable memory region in TensorFlow",
"urls": [
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"cwe_ids": [
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"date": "2021-01-07",
"description": "In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.",
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"2.0.4",
"2.1.3",
"2.2.2",
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"identifier": "CVE-2020-26268",
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"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2020-12-10",
"solution": "Upgrade to versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or above.",
"title": "Write to immutable memory region in TensorFlow",
"urls": [
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"affected_versions": "All versions before 1.15.5, all versions starting from 2.0.0 before 2.0.4, all versions starting from 2.1.0 before 2.1.3, all versions starting from 2.2.0 before 2.2.2, all versions starting from 2.3.0 before 2.3.2",
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"identifier": "CVE-2020-26268",
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"package_slug": "pypi/tensorflow",
"pubdate": "2020-12-10",
"solution": "Upgrade to version 2.4.0 or above.",
"title": "Out-of-bounds Write",
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"uuid": "3fe3ac42-5338-40cc-ba2e-d342dd044754"
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"lastModifiedDate": "2020-12-14T17:40Z",
"publishedDate": "2020-12-10T23:15Z"
}
}
}
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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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