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Property valuation fraud and collateral risk continue to plague the residential mortgage industry. Short Sale fraud is on the rise and extremely challenging to identify with public record data alone. Thorough front-end data checks are critical to understand risk associated with subject property value. Interthinx® proudly offers an unparalleled and comprehensive inclusion of MLS data within the property section of FraudGUARD®. The addition of MLS data provides up-to-date market insight into the subject property and the neighborhood listings. Unlike public data, MLS data provides the present condition of the subject property in addition to the property details for both the subject property and the area active listings. This innovative FraudGUARD module includes: Subject Property Details Based on MLSThe current Subject Property Overview page within FraudGUARD has been updated with details based on MLS. With this MLS module, the section includes: Area Active Listings PageThe new page includes: New Variances Based on MLS Data AnalysisThe new variances... |
Current Market Insight
Unlike public data, the MLS data displays the present condition of the subject property, property details and details of the area active listings. The inclusion of MLS data within FraudGUARD provides current market insight into the subject property and the neighborhood listings. With the addition of MLS data to public record data, Short Sale fraud is more likely to be identified. Public record data alone is not sufficient in this case due to the delay in receiving notification of closed recorded sales.
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Broker Comments & Remarks
The Broker Comments and Remarks on the subject property within the report help users to easily view updated/corrected information on the subject property. The details included can provide information about the subject property that may have been overlooked or intentionally omitted from the appraisal report.
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Identification of Collateral Risk
FraudGUARD not only provides a "just-in-time" view of the subject property utilizing MLS data but also provides a view based on public and private closed sales data. The comparison of MLS data to the public data identifies value issues with the subject property. The new variances impact the property score and clearly identify the overall possibility of any collateral risk.
The robust MLS data set provides better coverage to identify collateral risk. ![]()
Easy to Read
The same look and feel of FraudGUARD has been extended to the MLS sections for ease of use. The updated section allows users to quickly identify anomalies between MLS and Public data.
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General Availability
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