gsd-2022-29210
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-29210",
"description": "TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.",
"id": "GSD-2022-29210",
"references": [
"https://www.suse.com/security/cve/CVE-2022-29210.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-29210"
],
"details": "TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.",
"id": "GSD-2022-29210",
"modified": "2023-12-13T01:19:42.471258Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-29210",
"STATE": "PUBLIC",
"TITLE": "Heap buffer overflow due to incorrect hash function in TensorFlow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
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"version_value": "== 2.8.0"
}
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"data_format": "MITRE",
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"data_version": "4.0",
"description": {
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{
"lang": "eng",
"value": "TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1."
}
]
},
"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",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-120: Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)"
}
]
},
{
"description": [
{
"lang": "eng",
"value": "CWE-122: Heap-based Buffer Overflow"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
},
{
"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
},
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc2f-7r5r-r2hg",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc2f-7r5r-r2hg"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64"
}
]
},
"source": {
"advisory": "GHSA-hc2f-7r5r-r2hg",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003e=2.8.0,\u003c2.8.1",
"affected_versions": "All versions starting from 2.8.0 before 2.8.1",
"cwe_ids": [
"CWE-1035",
"CWE-120",
"CWE-122",
"CWE-937"
],
"date": "2022-05-24",
"description": "TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.",
"fixed_versions": [
"2.8.1"
],
"identifier": "CVE-2022-29210",
"identifiers": [
"GHSA-hc2f-7r5r-r2hg",
"CVE-2022-29210"
],
"not_impacted": "All versions before 2.8.0, all versions starting from 2.8.1",
"package_slug": "pypi/tensorflow-cpu",
"pubdate": "2022-05-24",
"solution": "Upgrade to version 2.8.1 or above.",
"title": "Heap-based Buffer Overflow",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc2f-7r5r-r2hg",
"https://nvd.nist.gov/vuln/detail/CVE-2022-29210",
"https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"https://github.com/advisories/GHSA-hc2f-7r5r-r2hg"
],
"uuid": "112cf027-dad8-4793-a00e-b13d7700dde8"
},
{
"affected_range": "\u003e=2.8.0,\u003c2.8.1",
"affected_versions": "All versions starting from 2.8.0 before 2.8.1",
"cwe_ids": [
"CWE-1035",
"CWE-120",
"CWE-122",
"CWE-937"
],
"date": "2022-05-24",
"description": "TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.",
"fixed_versions": [
"2.8.1"
],
"identifier": "CVE-2022-29210",
"identifiers": [
"GHSA-hc2f-7r5r-r2hg",
"CVE-2022-29210"
],
"not_impacted": "All versions before 2.8.0, all versions starting from 2.8.1",
"package_slug": "pypi/tensorflow-gpu",
"pubdate": "2022-05-24",
"solution": "Upgrade to version 2.8.1 or above.",
"title": "Heap-based Buffer Overflow",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc2f-7r5r-r2hg",
"https://nvd.nist.gov/vuln/detail/CVE-2022-29210",
"https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"https://github.com/advisories/GHSA-hc2f-7r5r-r2hg"
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"uuid": "34c40cf4-61c7-462a-9bb4-d42e9d7487f0"
},
{
"affected_range": "==2.8.0",
"affected_versions": "Version 2.8.0",
"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:N/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-787",
"CWE-937"
],
"date": "2023-06-28",
"description": "TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.",
"fixed_versions": [
"2.8.1"
],
"identifier": "CVE-2022-29210",
"identifiers": [
"CVE-2022-29210",
"GHSA-hc2f-7r5r-r2hg"
],
"not_impacted": "All versions before 2.8.0, all versions after 2.8.0",
"package_slug": "pypi/tensorflow",
"pubdate": "2022-05-21",
"solution": "Upgrade to version 2.8.1 or above.",
"title": "Heap-based Buffer Overflow",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc2f-7r5r-r2hg",
"https://nvd.nist.gov/vuln/detail/CVE-2022-29210",
"https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6",
"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/framework/tensor_key.h#L53-L64",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
"https://github.com/advisories/GHSA-hc2f-7r5r-r2hg"
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"uuid": "ffc72e12-e453-40fe-a02a-f1e28b295974"
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"name": "https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"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",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-06-28T20:26Z",
"publishedDate": "2022-05-21T00:15Z"
}
}
}
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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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- 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.