AI Tools Behavioral Pattern Masking
Budget / Salary$10–30
TypeFreelance project
LocationRemote
Posted2 hours ago
Peace be upon you,
I have a subscription to a website selling artificial intelligence tools and I have installed it in the Dicloak (Anti-detect Browsers) program with IP static residential proxies.
Regarding the issue we're facing, our current setup (Static Residential IP + Dicloak) works well for masking the IP and device fingerprint. However, the system/server is still detecting us through behavioral patterns and action volume (Rate & Behavior Analysis).
The problem boils down to 3 main points:
High Volume of Activity (Rate Limiting): When multiple people use the system simultaneously, the server receives a high number of requests per minute from the exact same IP. This triggers rate-limiting filters because it exceeds normal human usage limits.
Concurrent Requests: The server detects parallel requests being executed at the exact same second from the same IP, proving that more than one person is operating the account.
Behavioral Patterns: Even with different profiles in Dicloak, the frequency and timing of similar actions executed in a short time frame lead the security system to flag the IP as a shared proxy or multi-user access.
Conclusion: The solution isn't just swapping IPs or anti-detect browsers, but rather managing and pacing the volume and timing of actions so that the usage mimics a single human user."
I have a subscription to a website selling artificial intelligence tools and I have installed it in the Dicloak (Anti-detect Browsers) program with IP static residential proxies.
Regarding the issue we're facing, our current setup (Static Residential IP + Dicloak) works well for masking the IP and device fingerprint. However, the system/server is still detecting us through behavioral patterns and action volume (Rate & Behavior Analysis).
The problem boils down to 3 main points:
High Volume of Activity (Rate Limiting): When multiple people use the system simultaneously, the server receives a high number of requests per minute from the exact same IP. This triggers rate-limiting filters because it exceeds normal human usage limits.
Concurrent Requests: The server detects parallel requests being executed at the exact same second from the same IP, proving that more than one person is operating the account.
Behavioral Patterns: Even with different profiles in Dicloak, the frequency and timing of similar actions executed in a short time frame lead the security system to flag the IP as a shared proxy or multi-user access.
Conclusion: The solution isn't just swapping IPs or anti-detect browsers, but rather managing and pacing the volume and timing of actions so that the usage mimics a single human user."
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