FKIE_CVE-2022-23585

Vulnerability from fkie_nvd - Published: 2022-02-04 23:15 - Updated: 2024-11-21 06:48
Severity ?
4.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Summary
Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. 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
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L322-L416Exploit, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq6p-6334-8gr4Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L322-L416Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq6p-6334-8gr4Patch, Third Party Advisory
Impacted products
Vendor Product Version
google tensorflow *
google tensorflow *
google tensorflow 2.7.0
To clipboard 

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      "value": "Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., \u0026decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(\u0026decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. 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."
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      "value": "Tensorflow es un Marco de Aprendizaje Autom\u00e1tico de C\u00f3digo Abierto. Cuando son decodificadas im\u00e1genes PNG TensorFlow puede producir una p\u00e9rdida de memoria si la imagen no es v\u00e1lida. Despu\u00e9s de llamar a \"png::CommonInitDecode(..., \u0026amp;decode)\", el valor de \"decode\" contiene buffers asignados que s\u00f3lo pueden ser liberados llamando a \"png::CommonFreeDecode(\u0026amp;decode)\". Sin embargo, varios casos de error en la implementaci\u00f3n de la funci\u00f3n invocan la macro \"OP_REQUIRES\" que termina inmediatamente la ejecuci\u00f3n de la funci\u00f3n, sin permitir que se libere la memoria. 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"
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  "id": "CVE-2022-23585",
  "lastModified": "2024-11-21T06:48:52.190",
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  • 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.
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Detection rules are retrieved from Rulezet.