akamai / luda

Malicious actors often reuse code to deploy their malware, phishing website or CNC server. As a result, similiaries can be found on URLs path by inspecting internet traffic. Moreover, deep learning models or even regular ML model do not fit for inline deployment in terms of running performance. However, regexes ( or YARA rules ) can be deployed on a proxy and work in real time on all the traffic. LUDA can take a set of malicious and benign URLs and return a list of regexes ready to be deployed inline !

Date Created 2021-07-06 (3 years ago)

Commits 15 (last one 3 years ago)

Stargazers 74 (0 this week)

Watchers 11 (0 this week)

Forks 16

License gpl-3.0

Ranking

RepositoryStats indexes 595,856 repositories, of these akamai/luda is ranked #361,072 (39th percentile) for total stargazers, and #192,427 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #68,272/119,431.

akamai/luda is also tagged with popular topics, for these it's ranked: python (#15,233/22324), machine-learning (#5,573/8063), regex (#220/294)

Other Information

akamai/luda has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

All Topics

regex akamai python clustering machine-learning malicious-url-detection

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updated: 2024-09-18 @ 10:30am, id: 383318381 / R_kgDOFtj5bQ