ASN Lookup: A Powerful Tool for Fraud Detection

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Autonomous System Number (ASN) lookup identifies the network operator behind an IP address, offering more stable and informative context than IP geolocation alone for fraud detection. By assessing an ASN’s type, location, reputation, history, and links to data centers, anonymization services, botnets, or suspicious hosting, organizations can assign risk scores to user activity and decide whether to allow, challenge, or block access or transactions. ASN analysis can help identify proxy abuse, account takeovers, card-not-present fraud, spam, phishing, and coordinated botnet activity, particularly when unusual traffic patterns or high-risk networks are detected. Its effectiveness is strongest when combined with signals such as device fingerprinting, behavioral biometrics, and velocity checks, rather than used as a standalone control. Didit presents its platform as a fraud prevention solution that integrates real-time ASN intelligence, customizable reputation-based rules, and other detection signals to flag suspicious activity.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.