{"id":"CVE-2019-20634","aliases":["EUVD-2019-11173","GHSA-f9h8-wxp6-hpxv"],"status":"published","title":"An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores...","description":"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.","severity":{"version":"3.1","score":3.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N","level":"low","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-11","score":0.01636,"percentile":0.76639,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":false},"cwes":["CWE-20","CWE-697"],"published":"2020-03-30T20:50:59Z","modified":"2026-06-17T02:30:50Z","products":[{"vendor":"proofpoint","product":"email_protection"}],"references":[{"url":"https://github.com/moohax/Proof-Pudding","tags":["x_refsource_MISC","x_transferred","Third Party Advisory"]},{"url":"https://github.com/moohax/Talks/blob/master/slides/DerbyCon19.pdf","tags":["x_refsource_MISC","x_transferred","Third Party Advisory"]},{"url":"https://www.proofpoint.com/us/security/CVE-2019-20634","tags":["x_refsource_CONFIRM","x_transferred","Vendor Advisory"]},{"url":"https://www.proofpoint.com/us/security/security-advisories/pfpt-sn-2020-0001","tags":["x_refsource_MISC","x_transferred","Vendor Advisory"]},{"url":"https://atlas.mitre.org/studies/AML.CS0008"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2019-20634"},{"url":"https://github.com/advisories/GHSA-f9h8-wxp6-hpxv"}],"sources":{"cve":[{"id":"CVE-2019-20634","description":"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.","status":"published","published":"2020-03-30T20:50:59Z","modified":"2024-10-28T16:15:23.594Z","cvss":[{"version":"3.1","score":3.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N","level":"low","assessor":"cna"}],"updated_at":"2026-11-02T14:20:17.722148Z"}],"euvd":[{"id":"EUVD-2019-11173","description":"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.","status":"published","published":"2020-03-30T20:50:59Z","modified":"2024-10-28T16:15:23Z","cvss":[{"version":"3.1","score":3.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N","level":"low"}],"updated_at":"2026-11-03T00:05:16.135425Z"}],"ghsa":[{"id":"GHSA-f9h8-wxp6-hpxv","title":"An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores...","description":"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.","status":"published","published":"2022-05-24T17:12:56Z","modified":"2023-01-29T05:02:04Z","cvss":[{"version":"3.1","score":3.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N","level":"low"}],"cwes":["CWE-20","CWE-697"],"updated_at":"2026-11-02T14:44:59.173471Z"}],"nvd":[{"id":"CVE-2019-20634","description":"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.","status":"published","published":"2020-03-30T21:15:12.373Z","modified":"2026-06-17T02:30:50.703Z","cvss":[{"version":"3.1","score":3.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N","level":"low","assessor":"secondary"},{"version":"3.1","score":3.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N","level":"low","assessor":"primary"},{"version":"2.0","score":4.3,"vector":"AV:N/AC:M/Au:N/C:P/I:N/A:N","level":"medium","assessor":"primary"}],"cwes":["CWE-697"],"updated_at":"2026-11-02T14:05:46.451008Z"}]}}