Search Results for "attack detection"

AzureAD-Attack-Defense is a community-maintained playbook that collects common attack scenarios against Microsoft Entra ID (formerly Azure Active Directory) together with detection and mitigation guidance. The repository is organized into focused chapters — for example: Password Spray, Consent Grant, Service Principals in Azure DevOps, Entra Connect Sync Service Account, Replay of Primary Refresh Token (PRT), Entra ID Security Config Analyzer, and Adversary-in-the-Middle — each written to explain the attack, show detection approaches, and recommend mitigation steps. ...

GOAD (Gather Open Attack Data) is a security reconnaissance framework for collecting, enriching, and visualizing open-source intelligence (OSINT) around hosts, domains, and certificates. It automates queries to certificate transparency logs, passive DNS, subdomain enumeration, web endpoints, and other public threat feeds. The tool aggregates results into structured formats and can produce interactive graphs to highlight relationships between entities (e.g. domain → IP → cert → ASN). Analysts...

Claw Hunter is an open-source security tool designed to detect, analyze, and mitigate risks associated with autonomous AI agents, specifically those built on platforms like OpenClaw. As agentic AI systems gain popularity, they introduce a new class of security challenges because they can execute commands, access files, and interact with external systems with minimal human oversight. Claw-Hunter addresses this emerging threat landscape by providing visibility into these agents, helping...

...The codebase includes helpers for command-line decoding and de-obfuscation (automatic base64/deflate handling), safelisting/hash workflows (DeepBlueHash), and sample EVTX files so teams can test the tool on realistic attack traces.

...It intentionally randomizes its output on every run so the created domain, objects, and ACL relationships are different each time, which helps teams exercise tooling and detection logic against varied scenarios. The project is driven by a single entry script (Invoke-BadBlood.ps1) and a collection of modular components that create OUs, seed users and groups, set ACLs, configure LAPS scenarios, and generate other attack/defense artifacts for lab use. Because it modifies a real AD forest, BadBlood requires high privileges (Domain Admin and Schema Admin) to run and the README warns strongly that it is not responsible for cleanup if used in production.

Security‑Datasets is a community-driven repository maintained by the Open Threat Research Forge (OTRF) that curates publicly available malicious and benign datasets for threat-hunting, machine learning, event analysis, and cybersecurity research. Datasets include Windows events, logs, alerts, and simulated attack data to support detection engineering and academic research.