See our Frequently Asked Questions
The GSMA Fraud Intelligence Service provides a central global database and exchange platform for operators to analyse fraud-related incidents efficiently, and with more accuracy. For the first time, all relevant information from primary sources is in one place, it’s curated for quick comprehension, and it’s automated – meaning the data is updated in real time.
It is difficult to quantify how much fraud is reported however for the first time GSMA Fraud Intelligence Service brings together in one central location a place where we hope all GSMA operator members will share their fraud intelligence in a more timely fashion for all to action to reduce the cost of fraudulent traffic for all.
Only data that is worthy of investigation should be uploaded to the platform. The data is then validated through cross-referencing with a number of other data points so as to build confidence within our community that this is a platform worthy of joining and contributing too so as to reduce the financial impact of roaming and interconnect fraud.
High Risk Number / Range entry-level service
High risk numbers (HRN) and ranges of numbers are hot numbers, which have been reported by operators who have seen fraudulent traffic to these destinations from their networks.
Mobile operators are the key data source as this new platform enables them to contribute their high risk numbers and ranges in a more timely and efficient manner.
GSMA will also continue to share the TUFF (Telecommunications UK Fraud Forum) and the CFCA (Communications Fraud Control Association) data.
General rules first: yes if you supplied it, no if you didn’t.
If you see your home network numbers are listed in the Fraud alerts page, in error, or you have already cleared the underlying fraud issue use the “Report issue” link in the column, farthest to the right. You can directly edit or remove the numbers added by your own organisation.
All numbers and ranges submitted are subject to the following processes to confirm a number/ range is valid:
• Country codes are determined automatically
• Check for matches with IR.21 number ranges
• Check if a high risk number falls under predefined (customer-specific) CC/NDC priority ranges
Yes the data may be tagged. Users can do this themselves or GSMA may do it as part of the data enrichment process, using the fraud label type.
The GSMA recommends that any unusual or high usage to these HRN destinations is investigated. Before blocking traffic to hijacked (or any) number ranges, operators should first compare the fraud risk against the potential disruption to legitimate customers, traffic and revenue in both the originating and the intended terminating networks. For more detailed advice, GSMA members are recommended to review the GSMA Fraud Manual available from email@example.com.
Full Subscription Service
The full service provides a 360-degree view of the GSMA IR.21 data, including your partner mobile number ranges, operator IP addresses and MCC/MNC codes.
GSMA RAEX IR.21 is the information that operators exchange to establish international roaming at a technical level. Procedures and data formats are laid out so all have a common view. A key benefit of this new service is that the data and documents from your GSMA IC2 RAEX Inbox and IR.21 Catalogue are fetched automatically and then enriched in this platform.
The IP addresses related to fraud are enriched with ipdata’s geolocation information, the OSINT’s 200 + threat feeds and ASN data. These layers of information can be collated into an intelligence report to support your fraud detection decision making; displaying all data conflicts will help prompt further investigation.
IMSI data is checked to establish if it is associated with the expected source, i.e. operator subscription. Mismatches can be quickly spotted for further investigation.
The full service subscribers benefit from data correlation and enrichment. This is done by checking against IR.21 number ranges as well as using other verified sources.
NB There is no verification/enrichment done on the free HRN version