Leveraging Machine Learning to Detect Anomalies in HTTP Request Logs
Tags
attack-pattern: | Data Datasets Model Models Server - T1583.004 Server - T1584.004 Vulnerabilities - T1588.006 |
Common Information
Type | Value |
---|---|
UUID | 55b6ce2b-a38e-4f14-a5de-0eb4f2baf82d |
Fingerprint | b630cbec89b59743 |
Analysis status | DONE |
Considered CTI value | 0 |
Text language | |
Published | Dec. 22, 2024, 7:18 p.m. |
Added to db | Dec. 22, 2024, 8:32 p.m. |
Last updated | Dec. 22, 2024, 8:32 p.m. |
Headline | Leveraging Machine Learning to Detect Anomalies in HTTP Request Logs |
Title | Leveraging Machine Learning to Detect Anomalies in HTTP Request Logs |
Detected Hints/Tags/Attributes | 21/1/0 |
Source URLs
URL Provider
RSS Feed
Details | Id | Enabled | Feed title | Url | Added to db |
---|---|---|---|---|---|
Details | 167 | ✔ | Cybersecurity on Medium | https://medium.com/feed/tag/cybersecurity | 2024-08-30 22:08 |