OSTE META SCANNER

This page summarizes the projects mentioned and recommended in the original post on /r/Hacking_Tutorials

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • OSTE-Meta-Scan

    The OSTE meta scanner is a comprehensive web vulnerability scanner that combines multiple DAST scanners, including Nikto Scanner, ZAP, Nuclei, SkipFish, and Wapiti.

  • Github REP: https://github.com/OSTEsayed/OSTE-Meta-Scan After long deliberation, I'm excited to announce that the OSTE-Meta-Scanner, a new kind of dynamic application security testing tool, is now available to the public on GitHub! This advanced tool brings a comprehensive set of security features to enhance web vulnerability scanning, including SQL injection, Cross-site scripting (XSS), OS command injection, XML injection, XSLT injection, XML External Entities (XXE), Code injection, Host header injection, HTML injection, Template injection (server-side), CRLF injection, and OGNL injection. And that's not all! The OSTE-Meta-Scanner also provides support for other vulnerabilities, which you can find in the repository of each scanner. It's packed with support for various vulnerabilities from Skipfish, Wapiti, OWASP ZAP Active Attack list, Nikto (Tuning 9 & 4), and Nuclei CVE-Template. I believe this tool will greatly benefit and improve the overall assessment of web vulnerability scanning. Your contributions and questions are most welcome! Feel free to explore the GitHub repository Mentioned Above and be a part of this exciting project! #Cybersecurity #DASTTools #WebVulnerabilityScanner #AppSec #InformationSecurity #GitHubRepo

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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