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GHSA-f9h8-wxp6-hpxv

Опубликовано: 24 мая 2022
Источник: github
Github: Не прошло ревью
CVSS3: 3.7

Описание

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.

EPSS

Процентиль: 51%
0.0028
Низкий

3.7 Low

CVSS3

Дефекты

CWE-20
CWE-697

Связанные уязвимости

CVSS3: 3.7
nvd
почти 6 лет назад

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.

EPSS

Процентиль: 51%
0.0028
Низкий

3.7 Low

CVSS3

Дефекты

CWE-20
CWE-697