Anura Definitions - Rule Sets
To make accurate judgments on visitor quality, Anura has built a continually growing list of rules and heuristics. To provide transparency as to why traffic is scored as BAD or WARNING, we have categorized each of these rules/heuristics into one of seven different Rules Sets. Each of these Rule Sets have multiple rules/heuristics to ensure the accuracy of the Rule Set.
Data Integrity (DI)
Anura monitors the consistency of visitor data by reviewing both the request and response data. This comprehensive approach guarantees that data integrity is ensured throughout the entire session. Any deviation from this standard is considered fraudulent activity and is promptly identified by Anura's fraud systems. The identification of such inconsistencies triggers the corresponding rule(s) within Anura's Data Integrity rule set, which helps to ensure the accuracy and reliability of visitor data quality assessments. Clients can rest assured that Anura's commitment to data integrity is unwavering, and that the data analysis process is designed to provide them with the highest level of assurance possible.
User Environment (UE)
Anura conducts a thorough investigation of a visitor's credibility by examining various factors, including the use of a Virtual Proxy Network (VPN) and other identifiable device and system components. This comprehensive approach enables Anura to identify any anomalies or inconsistencies that may suggest fraudulent activity. By leveraging this multifaceted strategy, Anura delivers a reliable assessment of visitor quality and provides clients with the assurance they need to make informed decisions.
Data Center (DC)
Anura scrutinizes a user's device and system-level identity for indicators of server-based criterion such as hardware, geo-location data, IP address and other factors commonly associated with data centers. By doing so, we can determine if a visitor originated from an established data center. If identified, Anura promptly flags these visitors as fraudulent, providing clients with definitive assessments of visitor quality.
Traffic Origin (TO)
Anura analyzes a visitor's journey to discern their origin prior to visiting your web asset. Our system examines prior origin data to determine if a user came from known fraudulent sites or if they show signs of questionable origination. This approach enables Anura to identify and flag any potentially fraudulent activity effectively, providing clients with reliable assessments of visitor quality based on known malicious origin.
IP Integrity (IP)
An IP address is similar to a physical address and can be associated with fraudulent human activity and automated bots. This can lead to harmful activities targeting your assets. Anura validates each visitor's IP address for integrity using a combination of proprietary factors, as well as referencing historical data of known malicious activity.
Spoofing (SP)
Spoofing involves disguising oneself as a known and trusted visitor. Common methods include spoofing of IP addresses, User-Agents, Devices as well as masking DNS server origins. To combat such malicious activities, Anura utilizes multiple data points to accurately identify spoofed information, providing robust defense against even the most sophisticated spoofing attacks and user manipulation.
Web Crawler (WC)
Web crawlers are internet bots that index the contents of websites. While web crawlers are generally used legitimately, they may also have the potential to be used by fraudsters to scrape sensitive data or otherwise harm a client's assets. In addition to ensuring visitors are not known web crawlers, Anura also checks for suspicious behavior that may indicate malicious intent from bots.