An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores from Proofpoint email headers, it is…
mitre·CWE-697·Published 2020-03-30
An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores from Proofpoint email headers, it is possible to build a copy-cat Machine Learning Classification model and extract insights from this model. The insights gathered allow an attacker to craft emails that receive preferable scores, with a goal of delivering malicious emails.
An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores from Proofpoint email headers, it is possible to build a copy-cat Machine Learning Classification model and extract insights from this model. The insights gathered allow an attacker to craft emails that receive preferable scores, with a goal of delivering malicious emails.
Se detectó un problema en Proofpoint Email Protection hasta el 08-09-2019. Mediante la recopilación de puntajes de los encabezados de correo electrónico de Proofpoint, es posible construir un modelo Machine Learning Classification copy-cat y extraer información de este modelo. Los conocimientos capturados permiten a un atacante diseñar correos electrónicos que reciban puntajes preferenciales, con el propósito de entregar correos electrónicos maliciosos.
| Version | Type | Source | Base | Exp | Impact | Vector |
|---|---|---|---|---|---|---|
| 2.0 | Primary | NVD | 4.3 | 8.6 | 2.9 | AV:N/AC:M/Au:N/C:P/I:N/A:N |
| 3.1 | Primary | cve.org | 3.7 | — | — | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N |
| 3.1 | Primary | NVD | 3.7 | 2.2 | 1.4 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N |
| 3.1 | Secondary | NVD | 3.7 | 2.2 | 1.4 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N |