What is Fraud Forensics?

The Snappt Fraud Forensics team is our investment to ensure that we are always on the cutting edge of fraud detection – this team finds and researches potential vulnerabilities and then extracts the learnings to update and improve our system.

While no system will ever be 100% accurate, this process has helped us to stay multiple steps ahead of prospective fraudsters and earned us our industry-leading 99.8% accuracy rate.

Why does Fraud Forensics matter?

When Snappt created the first-ever document fraud detection technology, we were in uncharted territory – after all, this wasn’t something that had ever been done before. As a result, we turned to other industries’ best practices so that we wouldn’t be creating all of our strategies and policies from scratch.

Our team has a deep background in cybersecurity and has believed from day one that there are a number of similarities between cybersecurity and fraud detection. One of the most obvious parallels is that in both industries, there is an arms race between the good and bad actors in the space.

Cybersecurity companies like Symantec have vast teams dedicated to researching and tracking vulnerabilities, and so from day one, we set out to mirror this process. As our company has grown, we have heavily invested in our fraud forensics team because we know that the race is just getting started, and if we don’t continue to innovate, we will eventually become obsolete.

How does our team help keep you safe?

Our high-level process has four steps: Identify new vulnerabilities, Analyze those vulnerabilities, Extract new learnings or information, and then iterate on our core engine.

Identify new vulnerabilities

Finding new data on fraud might sound challenging, but we live in a time when fraudsters are openly discussing their crimes in public. Some of our best sources for finding and tracking fraudsters include:

• Reddit
• Facebook
• Tik Tok

Even a simple Google search for “fake paystubs” will result in thousands of results like this:

Ultimately, it isn’t much of a challenge to find these fraudsters, as they hide behind First Amendment laws (they claim to be educational resources only). The net result is open discussion online regarding clearly illegal activity. While this is bad for the industry overall, the silver lining is that it makes it incredibly easy for our team to find and track fraudsters.

Analyze vulnerabilities

The first thing we do when identifying a new vulnerability is check it against our vast database of known vulnerabilities (similar to a database of known viruses). One of our earliest learnings was that fraudsters seemed to be perfectly comfortable stealing/copying from each other. For example, we identified six unique vulnerability patterns across over 300 sources of online paystubs, a likely indication that they had all been copied from only a handful of sources.

Next, we test the documents against our system to determine if the vulnerability is currently open/active. Given the propensity for fraudsters to copy each other, our most common result is that the identified vulnerability has already been addressed and closed.

An example here is ExifTool, a vulnerability that has been known and closed for years but is still talked about openly online as a way to “beat” fraud detection.

The tool works by wiping visible document metadata, leaving you with the equivalent of a person with no fingerprints. This is an easy action to detect and, thus, is a simple edit flag for our system.

Even though this technique would not work on a modern fraud detection system, fraudsters still speak about it as though it does, and a large number of fraudsters offering “money-back guarantees” rely on this long-outdated fraud technique.

Extract learnings

When a new fraud technique or source is found, our team rapidly reacts by extracting all information out of this new vulnerability.

The advantage of running millions of documents through our system is that it makes it incredibly easy to find and react to these threats. Our team is typically able to complete the extraction process within one or two business days, resulting in a very small window in which a vulnerability remains active.

Iterate on core engine

With the extracted vulnerability information in hand, our Fraud Forensics team hands off these learnings to our R&D and Engineering teams, who quickly fold these new learnings into our process to update our core detection engine.

This is again an area that is aided greatly by our company’s size (and the number of documents we’ve scanned) – what would take a smaller company days or even weeks to adjust to can be solved by our team in minutes.

Current vulnerability landscape

In the early days, our fraud forensics team was constantly identifying and closing new vulnerabilities, as this was brand-new technology. As the years have gone on, our system has rapidly improved to cover the known fraud vulnerability landscape, resulting in a massive reduction in active vulnerabilities.

Although it is incredibly uncommon for us to find an active vulnerability, it does still happen – this year, we have only one recorded instance of an active vulnerability, which was identified and closed within two business days.

Just like antivirus, we will always have zero-day attacks (new vulnerabilities that the industry discovers and reacts to). Our heavy investment in our fraud forensics team ensures that we can stay ahead of any changes to known fraud techniques and keep you one step ahead at all times.

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