Unverified60% confidenceFactExact time
Official risk-control systems distinguish normal users from abnormal callers through device fingerprinting (collecting dozens of attributes such as hardware serial numbers, MAC addresses, and CPU identifiers, then hashing them into a unique identifier) and behavioral sequence analysis.
2
Sources
60%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Related Claims
Unverified现代风控系统使用设备指纹技术,采集主板UUID、硬盘序列号、MAC地址等数十项维度生成唯一设备标识符,即便更换账号同一设备指纹仍可被关联识别85% similarUnverifiedModern services typically identify abnormal behavior through device identifiers (machine fingerprints), and the same device frequently switching through large numbers of accounts is easily flagged by risk control systems77% similarUnverifiedBulk registration usually uses automated scripts to bypass the platform's human verification and phone number binding mechanisms; such accounts carry anomalous features recorded by risk control systems, such as duplicated device fingerprints and concentrated IP ranges.77% similarUnverifiedThe risk control system is an automated mechanism used by platforms to identify abnormal behavior and prevent abuse and fraud, and it typically scores across dimensions such as device fingerprint, IP location and switching frequency, login time patterns, request frequency, and account-sharing characteristics.76% similarUnverifiedDevice fingerprinting refers to the technique of combining multiple hardware and software configuration characteristics of a device into a high-entropy identifier, thereby continuing to identify the same device even after the user clears cookies or changes networks.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/595052API
curl https://kongchang.com/api/v1/knowledge/claims/595052MCP
get_claim(id=595052)