Bugcrowd Reviews

Criminal IP's Attack Surface Management (ASM) is an intelligence-driven platform designed to continuously identify, catalog, and oversee all internet-connected assets linked to an organization, including overlooked and shadow resources, enabling teams to understand their actual external exposure from the perspective of potential attackers. This solution integrates automated asset detection with open-source intelligence (OSINT) methods, artificial intelligence enhancements, and sophisticated threat intelligence to reveal exposed hosts, domains, cloud services, IoT devices, and other internet-facing entry points, while also collecting evidence such as screenshots and metadata, and linking findings to known vulnerabilities and attacker techniques. By evaluating exposures through the lens of business relevance and risk, ASM emphasizes vulnerable elements and misconfigurations, providing instantaneous alerts and interactive dashboards that facilitate quicker investigations and remediation efforts. Furthermore, this comprehensive tool empowers organizations to proactively manage their security posture, ensuring that they remain vigilant against emerging threats.

Criminal IP is a cyber threat intelligence search engine that detects vulnerabilities in personal and corporate cyber assets in real time and allows users to take preemptive actions. Coming from the idea that individuals and businesses would be able to boost their cyber security by obtaining information about accessing IP addresses in advance, Criminal IP's extensive data of over 4.2 billion IP addresses and counting to provide threat-relevant information about malicious IP addresses, malicious links, phishing websites, certificates, industrial control systems, IoTs, servers, CCTVs, etc. Using Criminal IP’s four key features (Asset Search, Domain Search, Exploit Search, and Image Search), you can search for IP risk scores and vulnerabilities related to searched IP addresses and domains, vulnerabilities for each service, and assets that are open to cyber attacks in image forms, in respective order.