GSD-2021-41219
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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-2021-41219",
"description": "TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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-2021-41219",
"references": [
"https://www.suse.com/security/cve/CVE-2021-41219.html",
"https://security.archlinux.org/CVE-2021-41219"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-41219"
],
"details": "TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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-2021-41219",
"modified": "2023-12-13T01:23:27.611656Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2021-41219",
"STATE": "PUBLIC",
"TITLE": "Undefined behavior via `nullptr` reference binding in sparse matrix multiplication"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.1"
},
{
"version_value": "\u003e= 2.5.0, \u003c 2.5.2"
},
{
"version_value": "\u003c 2.4.4"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-824: Access of Uninitialized Pointer"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae"
}
]
},
"source": {
"advisory": "GHSA-4f99-p9c2-3j8x",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
"advisories": [
{
"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": [
"CWE-1035",
"CWE-125",
"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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-2021-41219",
"identifiers": [
"GHSA-4f99-p9c2-3j8x",
"CVE-2021-41219"
],
"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 Read",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x",
"https://nvd.nist.gov/vuln/detail/CVE-2021-41219",
"https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae",
"https://github.com/advisories/GHSA-4f99-p9c2-3j8x"
],
"uuid": "773e96f6-14b1-4df3-b758-08c26ddb7957"
},
{
"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": [
"CWE-1035",
"CWE-125",
"CWE-937"
],
"date": "2021-11-10",
"description": "TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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-2021-41219",
"identifiers": [
"GHSA-4f99-p9c2-3j8x",
"CVE-2021-41219"
],
"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 Read",
"urls": [
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x",
"https://nvd.nist.gov/vuln/detail/CVE-2021-41219",
"https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae",
"https://github.com/advisories/GHSA-4f99-p9c2-3j8x"
],
"uuid": "69a3b6eb-cd8a-4c29-b990-b5529e134cac"
},
{
"affected_range": "\u003c2.4.4||\u003e=2.5.0,\u003c2.5.2||==2.6.0",
"affected_versions": "All versions before 2.4.4, all versions starting from 2.5.0 before 2.5.2, version 2.6.0",
"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": [
"CWE-1035",
"CWE-125",
"CWE-937"
],
"date": "2021-11-09",
"description": "TensorFlow is an open source platform for machine learning.This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access.",
"fixed_versions": [
"2.4.4",
"2.5.2",
"2.6.1"
],
"identifier": "CVE-2021-41219",
"identifiers": [
"CVE-2021-41219",
"GHSA-4f99-p9c2-3j8x"
],
"not_impacted": "All versions starting from 2.4.4 before 2.5.0, all versions starting from 2.5.2 before 2.6.0, all versions after 2.6.0",
"package_slug": "pypi/tensorflow",
"pubdate": "2021-11-05",
"solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.",
"title": "Out-of-bounds Read",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-41219",
"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x",
"https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae"
],
"uuid": "64207407-5bfd-4d29-9f2f-5aafe166ceb5"
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.4.4",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.5.2",
"versionStartIncluding": "2.5.0",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2021-41219"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x",
"refsource": "CONFIRM",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae"
}
]
}
},
"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
},
"baseMetricV3": {
"cvssV3": {
"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"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-11-09T16:12Z",
"publishedDate": "2021-11-05T21:15Z"
}
}
}
Loading…
Loading…
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.
Loading…
Loading…