OWASP Threat Dragon Reviews

Criminal IP's Attack Surface Management (ASM) is a cutting-edge platform driven by intelligence that seeks to constantly pinpoint, catalog, and supervise all internet-connected resources associated with an organization, including often ignored and shadow assets, thereby granting teams insight into their genuine external exposure as seen by potential attackers. This innovative solution combines automated asset identification with open-source intelligence (OSINT) techniques, enhancements via artificial intelligence, and advanced threat intelligence to uncover exposed hosts, domains, cloud services, IoT devices, and various other entry points on the internet, while also gathering evidence like screenshots and metadata, linking discoveries to known vulnerabilities and tactics used by attackers. By assessing exposures in terms of business significance and risk, ASM highlights vulnerable components and misconfigurations, delivering real-time alerts and interactive dashboards that streamline investigation and remediation processes. Moreover, this all-encompassing tool not only aids organizations in managing their security stance but also equips them to stay ahead of emerging threats by fostering a proactive security culture within their teams. Ultimately, the proactive management of attack surfaces can significantly enhance an organization's resilience against cyber risks.

Criminal IP functions as a cyber threat intelligence search engine designed to identify real-time vulnerabilities in both personal and corporate digital assets, enabling users to engage in proactive measures. The concept behind this platform is that by acquiring insights into potentially harmful IP addresses beforehand, individuals and organizations can significantly enhance their cybersecurity posture. With a vast database exceeding 4.2 billion IP addresses, Criminal IP offers crucial information related to malicious entities, including harmful IP addresses, phishing sites, malicious links, certificates, industrial control systems, IoT devices, servers, and CCTVs. Through its four primary features—Asset Search, Domain Search, Exploit Search, and Image Search—users can effectively assess risk scores and vulnerabilities linked to specific IP addresses and domains, analyze weaknesses for various services, and identify assets vulnerable to cyber threats in visual formats. By utilizing these tools, organizations can better understand their exposure to cyber risks and take necessary actions to safeguard their information.

Devici helps security and engineering teams build threat models that are consistent, reviewable, and easy to maintain as systems evolve. It focuses on capturing the architecture first, using a visual canvas where teams lay out processes, data stores, external entities, and trust boundaries. As components are described and attributes are applied, Devici identifies relevant threats and suggested mitigations from its built-in library, reducing the manual effort normally required to reason through diagrams or ad-hoc checklists. The tool is designed so that AppSec specialists, developers, and security champions can work together without specialized training. Real-time editing, in-model comments, and version history support collaborative reviews and allow teams to trace how decisions and risks change over time. Reusable templates and patterns make it simple to model common services or shared architecture pieces, helping larger organizations avoid duplicated work across teams. Devici also supports pushing mitigation tasks into existing development workflows through optional integrations, ensuring threat modeling outputs don’t remain isolated from day-to-day engineering. Its structure helps organizations move away from one-off diagrams and inconsistent documentation toward a predictable, repeatable approach that fits into modern development practices. Overall, Devici offers a practical way to raise the quality and clarity of threat modeling efforts without requiring complex onboarding or heavyweight tooling.