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security-vulnerability

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Cybersecurity (security) includes controlling physical access to hardware as well as protection from attacks that come via network access, data injection, and code injection.

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future-architect / vuls

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Agent-less vulnerability scanner for Linux, FreeBSD, Container, WordPress, Programming language libraries, Network devices

go linux golang freebsd security security-audit administrator cybersecurity security-vulnerability vulnerabilities security-hardening vulnerability-detection vulnerability-management vulnerability-scanners security-scanner vulnerability-assessment vuls security-automation security-tools vulnerability-scanner
  • Updated Nov 27, 2020
  • Go

CISOfy / lynis

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Lynis - Security auditing tool for Linux, macOS, and UNIX-based systems. Assists with compliance testing (HIPAA/ISO27001/PCI DSS) and system hardening. Agentless, and installation optional.

linux shell auditing devops unix security-audit pci-dss compliance hardening security-vulnerability security-hardening devops-tools hipaa vulnerability-detection vulnerability-scanners security-scanner vulnerability-assessment gdpr security-tools system-hardening
  • Updated Nov 23, 2020
  • Shell

jxy-s / herpaderping

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Process Herpaderping proof of concept, tool, and technical deep dive. Process Herpaderping bypasses security products by obscuring the intentions of a process.

windows security exploit windows-10 exploits vulnerability antivirus security-vulnerability exploitation windows-7 antivirus-evasion process-hollowing windows-defender exploit-development process-doppelganging exploit-framework process-migration process-herpaderping
  • Updated Oct 26, 2020
  • C++

tlsfuzzer / tlsfuzzer

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More bootstraps and bigger confidence interval support

tomato42
tomato42 commented Oct 26, 2020

Feature request

Is your feature request related to a problem? Please describe

The analysis.py script provides just one confidence interval: 95%. While that is related to the 2-sigma interval of normal distribution, so in theory allows for easy estimation of bigger confidence intervals (like 3, 4, 5-sigma), it assumes a normal distribution, which the differences don't follow, and may be

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enhancement good first issue help wanted
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