CVE-2022-23576
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Impacted products
Vendor | Product | Version | |
---|---|---|---|
▼ | tensorflow | tensorflow |
Version: >= 2.7.0, < 2.7.1 Version: >= 2.6.0, < 2.6.3 Version: < 2.5.3 |
|
{ "containers": { "adp": [ { "providerMetadata": { "dateUpdated": "2024-08-03T03:43:46.574Z", "orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE" }, "references": [ { "tags": [ "x_refsource_CONFIRM", "x_transferred" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37" }, { "tags": [ "x_refsource_MISC", "x_transferred" ], "url": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae" }, { "tags": [ "x_refsource_MISC", "x_transferred" ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617" } ], "title": "CVE Program Container" } ], "cna": { "affected": [ { "product": "tensorflow", "vendor": "tensorflow", "versions": [ { "status": "affected", "version": "\u003e= 2.7.0, \u003c 2.7.1" }, { "status": "affected", "version": "\u003e= 2.6.0, \u003c 2.6.3" }, { "status": "affected", "version": "\u003c 2.5.3" } ] } ], "descriptions": [ { "lang": "en", "value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range." } ], "metrics": [ { "cvssV3_1": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 6.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" } } ], "problemTypes": [ { "descriptions": [ { "cweId": "CWE-190", "description": "CWE-190: Integer Overflow or Wraparound", "lang": "en", "type": "CWE" } ] } ], "providerMetadata": { "dateUpdated": "2022-02-04T22:32:22", "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M" }, "references": [ { "tags": [ "x_refsource_CONFIRM" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37" }, { "tags": [ "x_refsource_MISC" ], "url": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae" }, { "tags": [ "x_refsource_MISC" ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617" } ], "source": { "advisory": "GHSA-wm93-f238-7v37", "discovery": "UNKNOWN" }, "title": "Integer overflow in Tensorflow", "x_legacyV4Record": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-23576", "STATE": "PUBLIC", "TITLE": "Integer overflow 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. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range." } ] }, "impact": { "cvss": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 6.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/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-190: Integer Overflow or Wraparound" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37" }, { "name": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae" }, { "name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617" } ] }, "source": { "advisory": "GHSA-wm93-f238-7v37", "discovery": "UNKNOWN" } } } }, "cveMetadata": { "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "cveId": "CVE-2022-23576", "datePublished": "2022-02-04T22:32:22", "dateReserved": "2022-01-19T00:00:00", "dateUpdated": "2024-08-03T03:43:46.574Z", "state": "PUBLISHED" }, "dataType": "CVE_RECORD", "dataVersion": "5.1", "meta": { "nvd": "{\"cve\":{\"id\":\"CVE-2022-23576\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2022-02-04T23:15:14.447\",\"lastModified\":\"2024-11-21T06:48:50.993\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.\"},{\"lang\":\"es\",\"value\":\"Tensorflow es un Marco de Aprendizaje Autom\u00e1tico de C\u00f3digo Abierto. La implementaci\u00f3n de \\\"OpLevelCostEstimator::CalculateOutputSize\\\" es vulnerable a un desbordamiento de enteros si un atacante puede crear una operaci\u00f3n que involucre tensores con un n\u00famero suficientemente grande de elementos. Podemos tener un n\u00famero suficientemente grande de dimensiones en \\\"output_shape.dim()\\\" o s\u00f3lo un peque\u00f1o n\u00famero de dimensiones siendo lo suficientemente grande para causar un desbordamiento en la multiplicaci\u00f3n. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.8.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow versi\u00f3n 2.7.1, TensorFlow versi\u00f3n 2.6.3, y TensorFlow versi\u00f3n 2.5.3, ya que estos tambi\u00e9n est\u00e1n afectados y a\u00fan est\u00e1n en el rango admitido\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":6.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":3.6},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":6.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":3.6}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:N/AC:L/Au:S/C:N/I:N/A:P\",\"baseScore\":4.0,\"accessVector\":\"NETWORK\",\"accessComplexity\":\"LOW\",\"authentication\":\"SINGLE\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":8.0,\"impactScore\":2.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-190\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionEndIncluding\":\"2.5.2\",\"matchCriteriaId\":\"688150BF-477C-48FC-9AEF-A79AC57A6DDC\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.6.0\",\"versionEndIncluding\":\"2.6.2\",\"matchCriteriaId\":\"C9E69B60-8C97-47E2-9027-9598B8392E5D\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"2EDFAAB8-799C-4259-9102-944D4760DA2C\"}]}]}],\"references\":[{\"url\":\"https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Third Party Advisory\"]}]}}" } }
Loading…
Loading…
Sightings
Author | Source | Type | Date |
---|
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.