{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-05-04T16:12:30.544","vulnerabilities":[{"cve":{"id":"CVE-2020-15206","sourceIdentifier":"security-advisories@github.com","published":"2020-09-25T19:15:15.917","lastModified":"2024-11-21T05:05:05.090","vulnStatus":"Modified","cveTags":[],"descriptions":[{"lang":"en","value":"In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."},{"lang":"es","value":"En Tensorflow versiones anteriores a 1.15.4, 2.0.3, 2.1.2, 2.2.1 y 2.3.1, cambiar el búfer del protocolo \"SavedModel\" de TensorFlow y alterar el nombre de las claves requeridas resulta en fallos de segmentación y una corrupción de los datos mientras se carga el modelo.&#xa0;Esto puede causar una denegación de servicio en productos que usan \"tensorflow-serve\" u otras cuotas de inferencia como un servicio.&#xa0;Los arreglos se agregaron en las commits f760f88b4267d981e13f4b302c437ae800445968 y fcfef195637c6e365577829c4d67681695956e7d (ambas en TensorFlow versiones 2.2.0 y 2.3.0 pero aún no se han actualizado a versiones anteriores).&#xa0;Sin embargo, esto no fue suficiente, ya que #41097 reporta un modo de fallo diferente.&#xa0;El problema es parcheado en el commit adf095206f25471e864a8e63a0f1caef53a0e3a6, y es publicado en TensorFlow versiones 1.15.4, 2.0.3, 2.1.2, 2.2.1 o 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