FKIE_CVE-2022-29203

Vulnerability from fkie_nvd - Published: 2022-05-20 23:15 - Updated: 2024-11-21 06:58
Severity ?
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
References
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.mdPatch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadfPatch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/releases/tag/v2.6.4Release Notes, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/releases/tag/v2.7.2Release Notes, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/releases/tag/v2.8.1Release Notes, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/releases/tag/v2.9.0Release Notes, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-jjm6-4vf7-cjh4Exploit, Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.mdPatch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadfPatch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4Release Notes, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2Release Notes, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1Release Notes, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0Release Notes, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jjm6-4vf7-cjh4Exploit, Patch, Third Party Advisory
Impacted products
Vendor Product Version
google tensorflow *
google tensorflow *
google tensorflow 2.7.0
google tensorflow 2.7.0
google tensorflow 2.8.0
google tensorflow 2.8.0
google tensorflow 2.8.0
google tensorflow 2.9.0
google tensorflow 2.9.0
To clipboard 

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      "value": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue."
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      "value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. En versiones anteriores a 2.9.0, 2.8.1, 2.7.2 y 2.6.4, la implementaci\u00f3n de \"tf.raw_ops.SpaceToBatchND\" (en todos los backends como XLA y kernels manuscritos) es vulnerable a un desbordamiento de enteros: El resultado de este desbordamiento de enteros es usado para asignar el tensor de salida, por lo que es obtenido una denegaci\u00f3n de servicio por medio de un fallo de \"CHECK\" (fallo de aserci\u00f3n), como en TFSA-2021-198. Las versiones 2.9.0, 2.8.1, 2.7.2 y 2.6.4 contienen un parche para este problema"
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  "lastModified": "2024-11-21T06:58:42.410",
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Taxonomy of the tags.




Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

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.



Detection rules are retrieved from Rulezet.