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Short postsCandidate data can be stolen one normal looking profile view at a time
Legitimate recruiter sourcing candidate profiles while linked automated sessions attempt coordinated data harvesting, with suspicious export activity blocked before candidate data leaves the platform.

12 Aug 2026

Recruitment

Candidate data can be stolen one normal looking profile view at a time

Profile scraping does not always arrive as an obvious bot attack. It can hide inside a valid recruiter account, move slowly, and distribute activity across devices so each individual session appears ordinary.

Picture an account searching for candidates throughout the week. No single request exceeds a simple limit, yet the account opens profiles in mechanical sequences, collects sensitive fields, and shares infrastructure with several similar accounts.

CrossClassify supports candidate profile scraping detection by combining browser automation signals, device intelligence, behavior, velocity, network context, and linked account activity. Legitimate recruiter sourcing can continue while suspicious profile access, exports, and API activity receive proportionate controls.

Protecting a candidate database is not about blocking active recruiters. It is about separating genuine sourcing from coordinated data harvesting before personal information leaves the platform at scale.

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