Search Results for "machine learning python"

FileSentinel is an open-source Python tool that helps users monitor folders for unexpected file changes. It creates a baseline using SHA-256 hashes and later compares the folder against that baseline to detect added, modified, and deleted files. It is designed as a beginner-friendly defensive security utility for students, small offices, and anyone learning basic file integrity monitoring.

CookieGuardAudit is a simple Python command-line security tool that checks a website's cookies for common security flag issues. It helps users quickly spot weak cookie settings such as missing Secure, missing HttpOnly, missing SameSite, and SameSite=None without Secure. This project is designed for beginners, defenders, students, and anyone learning basic web security auditing.

Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor...

The ODS3 Virtual Machine Challenge are downloadable images that can be run as VMWare or VirtualBox instances. The Idea behind the challenge is to test and exercise web application penetration testing in a controlled environment. These images are great for cyber security students, penetration testers and hobbyist. Care should be taken if installed on an Internet access host as the application are purposely vulnerable to attack and exploitation.

...Covers the IAM family (KSI-IAM-MFA, KSI-IAM-APM, KSI-IAM-SNU, KSI-IAM-JIT, KSI-IAM-ELP, KSI-IAM-SUS, KSI-IAM-AAM) and MLA family (KSI-MLA-OSM, KSI-MLA-RVL, KSI-MLA-EVC, KSI-MLA-LET, KSI-MLA-ALA) in depth, with machine-readable YAML mappings, real AWS Config rule references, NIST 800-53 control crosswalks, and per-indicator evidence shapes that compliance engineers can use directly during 3PAO preparation. Includes the full FedRAMP machine-readable documentation (FRMR v0.9.43-beta) and a Python ksi-validator CLI for OSCAL package validation. ...