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V5I1206 - Financial Intelligence Units (FIUs)
V5I0806 - Money Laundering: The Exception
V5I0406 - Network Monitoring
V5I0106 - Filing Compliance
V4I0405 - Terrorism Financing
V4I0305 - Telephone Toll Analysis
V4I0205 - Wire Transfers for Alien Smuggling
V4I0105 - Bust-out Schemes
V3I1204 - Structuring Financial Transactions
V3I1104 - Finished Intelligence (Proactive Analysis)
V3I1004 - Exposing Mortgage Fraud
V3I0904 - MIND Lab Integrates Course Data
V3I0804 - Suspicious SAR-MSB Filing Data
V3I0704 - Integrating Multiple Data Sources
V3I0604 - Analyzing Airline Profitability
V3I0504 - Corporate Fraud
V3I0404 - Employee Master File Analysis
V3I0304 - Prescription Fraud Patterns
V3I0204 - Social Network Analysis (SNA)
V3I0104 - Fraud Detection System (FDS)
V2I1203 - Integration with our Digital Information Gateway
V2I1103 - Financial Transactions Investigation
V2I1003 - Compliance Analysis
V2I0903 - Medical Insurance Claims Analysis
V2I0803 - Corporate Fraud Investigation
V2I0703 - Possible Domestic Terrorist Shooting
V2I0603 - Suspicious Activity Report (SAR) Filing
V2I0503 - Detecting Financial Crimes
V2I0403 - "Referential" Data Sources
V2I0303 - Proactive Analyses
V2I0203 - Transactional Activities
V2I0103 - Temporal Grid

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Referenced in our Newsletter Volume 4, Issue 2 - April 2005

Wire Transfers for Alien Smuggling

The amount of data reported by financial institutions is increasing every year as more filing requirements and compliancy laws are being enacted to help combat financial crimes and money laundering activities, especially those involving terrorist financing. The focus this month returns to the SAR-MSB (Suspicious Activity Report - Money Service Business) where a high-value SUBJECT is identified in making false representations regarding her identify when transferring money (via wire transfers).

As with many proactive criminal investigations, the exact nature of the pattern is not entirely known beforehand and often, only becomes clear once we see the entire picture. In this particular case, the indicators used to identify a well-qualified starting point were derived using the Network Miner service in VisuaLinks. The system was configured to show all networks using the linkage between SUBJECTS and ID NUMBERS where the total network size exceeded 10 nodes. As is presented in the following table, the top entry in this list shows a single ID NUMBER being utilized by 12 different SUBJECTS. Although there are other, larger networks generated by the Network Miner, it was decided to review only heavily utilized ID NUMBERS to expose intentional misrepresentation.


The first step in this process was to select the targeted network and regenerate it in the VisuaLinks display. The diagram shown below represents the results returned. For security purposes, any specific details have been hidden, removed, or changed in this example - but the structural integrity of the diagram has not been altered in any way. The 12 SUBJECTS connected to this single ID NUMBER are all variations of the same name. The last name (not shown) clearly represents the same individual; however, the number of different variations of how her name was spelled resulted in this specific network configuration.


At this point, it is not entirely clear if the name variations are intentional or due to the way in which this name can be interpreted (it is Spanish in origin). One thing that is positively known from this diagram is that there will be a minimum of 12 SAR-MSB transactions used to support these connections, and perhaps more. Thus, we have a potential target based on a large filing frequency.

From here, the network is expanded one level using the Database Walk feature provided in VisuaLinks. The next diagram shows the individual SAR-MSBs associated with each SUBJECT depicting a total of $115,450 dollars transacted over a 4 month period of time. Close observation also indicates that there were two transactions that occurred on 08/19/2003. Due to the fact that there are exactly 12 SAR-MSBs, it starts to become evident that this individual may be trying to misrepresent herself to avoid detection because it would be highly unlikely for the same financial institution to misrepresent her name wrong 12 different times.

The network is expanded a third level to bring in the corresponding ADDRESSES. As shown in the next diagram, there are some common ADDRESSES that are shown [the common ADDRESSES connect together two or more SUBJECTS]. Each ADDRESS icon in the display represents a completely different location. In this situation, the SUBJECT has listed multiple addresses throughout the Phoenix, Arizona region. Again, we must question why there are eight distinct and unique addresses listed for this person in such a short period of time.

The next diagram introduces the four Social Security Numbers (SSNs) for the SUBJECT. The largest connected SSN has been used in eight of the transactions. A close examination of the other three SSNs indicates they are entirely different numbers and do not reflect any type of transposition of numbers, which is often seen when multiple SSNs are connected to the same SUBJECT.

Finally, the PHONE numbers are presented showing nine unique numbers. Using the HTTP Search feature supported by VisuaLinks, each number is checked against the Google White Pages and none come back with any additional information. Thus, these PHONE numbers are most likely made-up or non-existent. Based on the overall structure and representation of this network, it can be concluded that intentional misrepresentation is occurring for this SUBJECT.

In fact, the NARRATIVES for many of these SAR-MSBS explicitly state this SUBJECT is using multiple ADDRESSES or SSNS or PHONES. Several of the NARRATIVES indicate she comes in "several times a day" to conduct transactions and each time provides a different ADDRESS, PHONE, or SSN. All of the transactions are in-bound which means she is receiving money sent by other people. Closer review of the NARRATIVES reveals the senders are located in different parts of the United States and the amounts are between $1,500 and $3,500. This most likely represents some type of enterprise involved with illegal alien smuggling - because they are one-time payments being made by multiple people across the country.

For additional VAI material and coverage of the SAR-MSB data and various smuggling examples, please review these previous newsletter entries:

        Issue 8 - August 2004 - Suspicious SAR-MSB Filing Data
        Issue 10 - October 2003 - Compliance Analysis
        Issue 5 - May 2003 - Detecting Financial Crimes


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