CVE-2021-29601
Vulnerability from cvelistv5
Published
2021-05-14 19:21
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
▼ | URL | Tags | |
---|---|---|---|
security-advisories@github.com | https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73 | Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4 | Exploit, Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73 | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4 | Exploit, Patch, Third Party Advisory |
Impacted products
Vendor | Product | Version | ||
---|---|---|---|---|
tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.", }, ], metrics: [ { cvssV3_1: { attackComplexity: "HIGH", attackVector: "LOCAL", availabilityImpact: "HIGH", baseScore: 6.3, baseSeverity: "MEDIUM", confidentialityImpact: "NONE", integrityImpact: "HIGH", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H", version: "3.1", }, }, ], problemTypes: [ { descriptions: [ { cweId: "CWE-190", description: "CWE-190: Integer Overflow or Wraparound", lang: "en", type: "CWE", }, ], }, ], providerMetadata: { dateUpdated: "2021-05-14T19:21:29", orgId: "a0819718-46f1-4df5-94e2-005712e83aaa", shortName: "GitHub_M", }, references: [ { tags: [ "x_refsource_CONFIRM", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4", }, { tags: [ "x_refsource_MISC", ], url: "https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73", }, ], source: { advisory: "GHSA-9c84-4hx6-xmm4", discovery: "UNKNOWN", }, title: "Integer overflow in TFLite concatentation", x_legacyV4Record: { CVE_data_meta: { ASSIGNER: "security-advisories@github.com", ID: "CVE-2021-29601", STATE: "PUBLIC", TITLE: "Integer overflow in TFLite concatentation", }, affects: { vendor: { vendor_data: [ { product: { product_data: [ { product_name: "tensorflow", version: { version_data: [ { version_value: "< 2.1.4", }, { version_value: ">= 2.2.0, < 2.2.3", }, { version_value: ">= 2.3.0, < 2.3.3", }, { version_value: ">= 2.4.0, < 2.4.2", }, ], }, }, ], }, vendor_name: "tensorflow", }, ], }, }, data_format: "MITRE", data_type: "CVE", data_version: "4.0", description: { description_data: [ { lang: "eng", value: "TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.", }, ], }, impact: { cvss: { attackComplexity: "HIGH", attackVector: "LOCAL", availabilityImpact: "HIGH", baseScore: 6.3, baseSeverity: "MEDIUM", confidentialityImpact: "NONE", integrityImpact: "HIGH", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/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-9c84-4hx6-xmm4", refsource: "CONFIRM", url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4", }, { name: "https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73", refsource: "MISC", url: "https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73", }, ], }, source: { advisory: "GHSA-9c84-4hx6-xmm4", discovery: "UNKNOWN", }, }, }, }, cveMetadata: { assignerOrgId: "a0819718-46f1-4df5-94e2-005712e83aaa", assignerShortName: "GitHub_M", cveId: "CVE-2021-29601", datePublished: "2021-05-14T19:21:29", dateReserved: "2021-03-30T00:00:00", dateUpdated: "2024-08-03T22:11:06.247Z", state: "PUBLISHED", }, dataType: "CVE_RECORD", dataVersion: "5.1", "vulnerability-lookup:meta": { nvd: "{\"cve\":{\"id\":\"CVE-2021-29601\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2021-05-14T20:15:15.487\",\"lastModified\":\"2024-11-21T06:01:28.113\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. 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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.
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- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
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