
Azure
Bash and PowerShell scripts for Azure security assessments, covering IAM privilege escalation, container registry exploitation, Key Vault exposure,…

Bash and PowerShell scripts for Azure security assessments, covering IAM privilege escalation, container registry exploitation, Key Vault exposure,…

Curated vulnerability writeups with full technical analysis, proof-of-concept scripts, IOC listings, and remediation guidance for real-world software…

This repository is about @harshbothra_'s 365 days of Learning Tweets & Mindmaps collection.

A PowerShell module for acquisition of data from Microsoft 365 and Azure for Incident Response and Cyber Security purposes.

Automation and Scaling of Digital Forensics Tools

honeyλ - a simple, serverless application designed to create and monitor fake HTTP endpoints (i.e. URL honeytokens) automatically, on top of AWS…

AzureAD/EntraID user activity reporter for blue teams. Input a suspicious user and time frame to receive a detailed report of user info, actions, and…

Portable security rules for the action boundary of AI agents

Read-only PowerShell module for detecting UNC2452 and other threat actor artifacts in Azure AD, auditing federated domains, service principals,…

CVE-2025-31324 & CVE-2025-42999 vulnerability and compromise assessment tool

How to "recover" a CloudPanel server affected by the CVE-2024-44765 vulnerability

Automatic security alert response framework by AWS Serverless Application Model

All-in-one penetration testing toolkit aggregating 185+ tools across 20 categories including information gathering, web & wireless attacks, phishing,…

A Cloud Forensics Powershell module to run threat hunting playbooks on data from Azure and O365

Detection-as-code platform that automates cloud security incident response by correlating artifacts, analyzing IOCs, and orchestrating…

A honey token manager and alert system for AWS.

Virtual Security Operations Center

Collects and analyzes AD and Azure AD authentication logs to detect lateral movement attacks using graph-based anomaly detection, visualizing…