Behavioral Information Leakage in Darknet Traffic: A Multi-Channel Analysis across Anonymity Networks

Existing darknet traffic classification studies largely emphasize predictive accuracy while offering limited insight into the behavioral mechanisms that make encrypted services distinguishable. This paper proposes a behavioral information leakage framework that decomposes flow-level traffic into...

PT-2025-27144

Name of the Vulnerable Software and Affected Versions: Net::IP::LPM version 1.10 Description: The issue arises from the improper consideration of leading zero characters in IP CIDR address strings, potentially allowing attackers to bypass access control based on IP addresses. This confusion can...