gsd-2022-23574
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2022-23574", "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.", "id": "GSD-2022-23574", "references": [ "https://www.suse.com/security/cve/CVE-2022-23574.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2022-23574" ], "details": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.", "id": "GSD-2022-23574", "modified": "2023-12-13T01:19:35.052633Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-23574", "STATE": "PUBLIC", "TITLE": "Out of bounds read and write in Tensorflow" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003e= 2.7.0, \u003c 2.7.1" }, { "version_value": "\u003e= 2.6.0, \u003c 2.6.3" }, { "version_value": "\u003c 2.5.3" } ] } } ] }, "vendor_name": "tensorflow" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range." } ] }, "impact": { "cvss": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/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-125: Out-of-bounds Read" } ] }, { "description": [ { "lang": "eng", "value": "CWE-787: Out-of-bounds Write" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428" }, { "name": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042" }, { "name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102" } ] }, "source": { "advisory": "GHSA-77gp-3h4r-6428", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c2.5.3||\u003e=2.6.0,\u003c2.6.3||==2.7.0", "affected_versions": "All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, version 2.7.0", "cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "cwe_ids": [ "CWE-1035", "CWE-125", "CWE-787", "CWE-937" ], "date": "2022-02-11", "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.", "fixed_versions": [ "2.5.3", "2.6.3", "2.7.1" ], "identifier": "CVE-2022-23574", "identifiers": [ "GHSA-77gp-3h4r-6428", "CVE-2022-23574" ], "not_impacted": "All versions starting from 2.5.3 before 2.6.0, all versions starting from 2.6.3 before 2.7.0, all versions after 2.7.0", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2022-02-09", "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.", "title": "Out-of-bounds Write", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428", "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042", "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102", "https://nvd.nist.gov/vuln/detail/CVE-2022-23574", "https://github.com/advisories/GHSA-77gp-3h4r-6428" ], "uuid": "67c9a39f-ed8a-4eb3-921d-47340b96e077" }, { "affected_range": "\u003c2.5.3||\u003e=2.6.0,\u003c2.6.3||==2.7.0", "affected_versions": "All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, version 2.7.0", "cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "cwe_ids": [ "CWE-1035", "CWE-125", "CWE-787", "CWE-937" ], "date": "2022-02-11", "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.", "fixed_versions": [ "2.5.3", "2.6.3", "2.7.1" ], "identifier": "CVE-2022-23574", "identifiers": [ "GHSA-77gp-3h4r-6428", "CVE-2022-23574" ], "not_impacted": "All versions starting from 2.5.3 before 2.6.0, all versions starting from 2.6.3 before 2.7.0, all versions after 2.7.0", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2022-02-09", "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.", "title": "Out-of-bounds Write", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428", "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042", "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102", "https://nvd.nist.gov/vuln/detail/CVE-2022-23574", "https://github.com/advisories/GHSA-77gp-3h4r-6428" ], "uuid": "6e1112e0-3bba-4f27-a329-d70a6fc71a6b" }, { "affected_range": "\u003c=2.5.2||\u003e=2.6.0,\u003c=2.6.2||==2.7.0", "affected_versions": "All versions up to 2.5.2, all versions starting from 2.6.0 up to 2.6.2, version 2.7.0", "cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:P", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "cwe_ids": [ "CWE-1035", "CWE-125", "CWE-937" ], "date": "2022-02-10", "description": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, and TensorFlow, as these are also affected and still in supported range.", "fixed_versions": [ "2.5.3", "2.6.3", "2.7.1" ], "identifier": "CVE-2022-23574", "identifiers": [ "CVE-2022-23574", "GHSA-77gp-3h4r-6428" ], "not_impacted": "All versions after 2.5.2 before 2.6.0, all versions after 2.6.2 before 2.7.0, all versions after 2.7.0", "package_slug": "pypi/tensorflow", "pubdate": "2022-02-04", "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.", "title": "Out-of-bounds Read", "urls": [ "https://nvd.nist.gov/vuln/detail/CVE-2022-23574", "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428", "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102", "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042" ], "uuid": "8a147686-ca19-47d6-adc3-7fd5dc4710de" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndIncluding": "2.5.2", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndIncluding": "2.6.2", "versionStartIncluding": "2.6.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-23574" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow\u0027s `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "CWE-125" }, { "lang": "en", "value": "CWE-787" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428", "refsource": "CONFIRM", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428" }, { "name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102", "refsource": "MISC", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102" }, { "name": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042" } ] } }, "impact": { "baseMetricV2": { "acInsufInfo": false, "cvssV2": { "accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "SINGLE", "availabilityImpact": "PARTIAL", "baseScore": 6.5, "confidentialityImpact": "PARTIAL", "integrityImpact": "PARTIAL", "vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P", "version": "2.0" }, "exploitabilityScore": 8.0, "impactScore": 6.4, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "severity": "MEDIUM", "userInteractionRequired": false }, "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "version": "3.1" }, "exploitabilityScore": 2.8, "impactScore": 5.9 } }, "lastModifiedDate": "2022-02-10T15:45Z", "publishedDate": "2022-02-04T23:15Z" } } }
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Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- 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.