CVE-2021-29575
Vulnerability from cvelistv5
Published
2021-05-14 19:16
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23 | Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6qgm-fv6v-rfpv | Exploit, Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23 | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6qgm-fv6v-rfpv | 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 |
|
{ containers: { adp: [ { providerMetadata: { dateUpdated: "2024-08-03T22:11:06.085Z", orgId: "af854a3a-2127-422b-91ae-364da2661108", shortName: "CVE", }, references: [ { tags: [ "x_refsource_CONFIRM", "x_transferred", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6qgm-fv6v-rfpv", }, { tags: [ "x_refsource_MISC", "x_transferred", ], url: "https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23", }, ], title: "CVE Program Container", }, ], cna: { affected: [ { product: "tensorflow", vendor: "tensorflow", versions: [ { status: "affected", version: "< 2.1.4", }, { status: "affected", version: ">= 2.2.0, < 2.2.3", }, { status: "affected", version: ">= 2.3.0, < 2.3.3", }, { status: "affected", version: ">= 2.4.0, < 2.4.2", }, ], }, ], descriptions: [ { lang: "en", value: "TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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: "LOW", baseScore: 2.5, baseSeverity: "LOW", confidentialityImpact: "NONE", integrityImpact: "NONE", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L", version: "3.1", }, }, ], problemTypes: [ { descriptions: [ { cweId: "CWE-119", description: "CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer", lang: "en", type: "CWE", }, ], }, ], providerMetadata: { dateUpdated: "2021-05-14T19:16:09", orgId: "a0819718-46f1-4df5-94e2-005712e83aaa", shortName: "GitHub_M", }, references: [ { tags: [ "x_refsource_CONFIRM", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6qgm-fv6v-rfpv", }, { tags: [ "x_refsource_MISC", ], url: "https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23", }, ], source: { advisory: "GHSA-6qgm-fv6v-rfpv", discovery: "UNKNOWN", }, title: "Overflow/denial of service in `tf.raw_ops.ReverseSequence`", x_legacyV4Record: { CVE_data_meta: { ASSIGNER: "security-advisories@github.com", ID: "CVE-2021-29575", STATE: "PUBLIC", TITLE: "Overflow/denial of service in `tf.raw_ops.ReverseSequence`", }, 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 implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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.
- 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.