Screentro.ai Feature
History Doesn’t Lie. Patterns Reveal the Truth.
Ledger Scan uncovers a candidate’s fraud history by analyzing device fingerprints, behavioral anomalies, and past flag records—making it easier to catch repeat offenders before they compromise your interview process.
Ledger Scan is an intelligent background analysis system that evaluates a candidate’s digital reputation and behavioral history across all previous interviews conducted through your anti-cheating platform. It acts as a scammer detection engine by looking for repeat patterns, flagged devices, and identity inconsistencies, helping recruiters detect known or likely fraud attempts based on past suspicious activity.
Rather than only relying on real-time monitoring, Ledger Scan provides historical context—making it an essential tool to stop serial scammers and organized cheating rings who exploit remote interviews.
Why Ledger Scan is Critical?
Scammers often repeat the same tactics across different interviews, clients, or identities. With no memory of their past behaviors, systems can be easily bypassed. Ledger Scan changes that.
It builds a ledger (history) of every device, identity, and behavioral event—allowing your system to recognize patterns of deception, even if the candidate changes their name, email, or resume.
Ledger Scan helps you:
· Detect repeat cheaters using the same or similar setups.
· Flag blacklisted devices or digital environments.
· Trace proxy interview networks or fraudulent coaching services.
· Make better hiring decisions based on behavioral credibility.
Repeat Offenders
· Cross-matches device fingerprints, behavioral profiles, and IPs used in previously flagged interviews.
· Highlights candidates who have shown consistent signs of cheating, including impersonation, voice modulation, multi-device setups, or synthetic responses.
Scammer Network Detection
· Identifies shared device environments used by multiple candidates—often a sign of coached interview setups or hiring fraud rings.
· Detects patterns in geographic overlap, time zone irregularities, and device reuse, building links between fraudulent sessions.
Flagged Histories
· Leverages an internal ledger of past flagged incidents to warn when a new candidate has high-risk overlap with previous fraud attempts.
· Includes automated risk scoring to help recruiters understand how likely a candidate is to be engaging in deceptive activity.
Anomaly Pattern Recognition
· Analyzes consistency across interviews: voice patterns, typing behavior, reaction timing, network setups.
· Flags unusual similarity in responses or setups between different interviewees that could suggest identity masking or duplication.
Digital Environment Ledger
Tracks system-level data across sessions including:
· Device fingerprint
· Browser and OS
· Time zone
· VPN/proxy detection
· Network stability
· Interview timing behavior
Compares these against known suspicious profiles stored in the ledger.
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✅ Stop Known Scammers Early
Catch individuals who have already been flagged for cheating—before they waste your time or manipulate your team.
🔁 Prevent Recycled Tactics
Fraudsters often use the same tools and tricks. Ledger Scan remembers what they used, even if they try to rebrand.
🌐 Reveal Fraud Networks
Multiple fake candidates using the same computer or internet connection? Ledger Scan uncovers these patterns.
📊 Add Context to Risk
One-time red flags may be innocent. A pattern of flags isn’t. Ledger Scan helps you make informed, evidence-based decisions.
· Anonymized Tracking: Ledger Scan uses hashed identifiers and behavior metadata—not personally identifiable information (PII).
· Candidate Consent: All scanning is disclosed and performed with explicit user consent.
· Legally Compliant: Fully adheres to GDPR, CCPA, and global data protection standards.