VIEWAPP Anti-Fraud: What Tricks Do Fraudsters Use in Remote Inspections?

A remote inspection offers convenience for an honest client and a temptation for a dishonest one. Let's break down what fraud in photo documentation looks like and why it is becoming increasingly difficult to hide.

Why Inspections Attract Fraudsters

Remote inspections have removed geographical barriers: now, a lessee or policyholder can document an asset themselves, without an expert needing to visit the site. This speeds up processes and reduces costs – but simultaneously opens up room for abuse.

The motive is simple: if the inspection result influences transaction approval, claim payouts, or collateral valuation, some clients may feel tempted to present the asset in a more favorable light than it truly is, or even to substitute the asset entirely.

Main Categories of Fraud

1. Asset Substitution

The crudest but also the most widespread scheme. The premise is simple: the client presents for inspection an asset different from the one that is the subject of the contract. For example, instead of a damaged vehicle, an identical but functional one is photographed. Instead of the actual address of a property, a different premises is documented.

The classic version is "license plate swapping": a car with the correct license plates but a different VIN is photographed so that the identifier is not visible in the frame or is difficult to decipher.

2. Photo Material Manipulation

Not all tricks require physically substituting the asset. Some fraudsters manipulate images that have already been taken:

• Screen capture. The client photographs a monitor or tablet displaying someone else’s photos of the desired asset – in better condition than it actually is. Visually, the result can look convincing, especially if an expert is reviewing a large volume of materials.
• Using archived photos. An image of the asset taken at a different time and under different conditions – when it looked better – is uploaded.
• Image post-processing. Photo editors allow the removal of visible defects, alteration of details, or modification of date metadata.

3. Geolocation Manipulation

If the system records shooting coordinates, the fraudster’s goal is to “move” the device virtually. Software tools for spoofing GPS coordinates are used, allowing the user to specify a false location without physically being there. In parallel, the opposite problem occurs: intentional use of jammers to hide the actual location.

4. Exploitation of Technical Vulnerabilities

More advanced schemes involve working at the device’s operating system level. By gaining extended administrator rights on a smartphone, a fraudster can interfere with application operations, replace files, and bypass camera restrictions.

5. Social Engineering and Collusion

Sometimes the fraud is not technical but human. The inspection is formally performed correctly, but the inspector acts in the dishonest client’s interests – deliberately omitting necessary angles, failing to document damage, or creating a “convenient” shot. This is particularly relevant when the inspection is outsourced to a third-party contractor or a storage yard.

When the Fraudster Invests in Deception

A separate category is not situational fraud but a deliberate, premeditated scheme. Practice shows that when large sums of money are at stake, fraudsters are willing to spend time and resources to bypass the security system. They study exactly which checks are performed and methodically look for ways around them – purchasing specialized equipment, rehearsing scenarios, and eliminating visible traces of forgery. In other words, anti-fraud is perceived by them as a challenge to be solved, not as an insurmountable barrier. This is precisely why a reliable protection system cannot be static: it must evolve faster than the evasion schemes evolve.

What Gives a Fraudster Away

An experienced expert looks for inconsistencies, each of which might seem minor in isolation but together paint a clear picture:

• Identifier mismatch. The VIN in the photo does not match the one in the documents. Or the nameplate reads differently than expected.
• Metadata anomalies. The date and time of shooting do not fit the inspection timeline. The coordinates indicate a different address.
• Image artifacts. Glare, moiré patterns, interference bands – visual traces of shooting from another screen. Edge blurring characteristic of such photographs.
• Logical inconsistencies. The background, lighting, weather, or surroundings do not correspond to the declared location and time. A recognizable landmark incompatible with the inspection address is visible in the background.
• Behavioral anomalies. The inspection was completed implausibly quickly. Certain steps were skipped or repeated. The sequence of actions deviates from the standard pattern.
• Asset history. Previous inspections of this client or asset have already recorded violations or rejections.

Why Anti-Fraud Is a System, Not a Single Tool

No single indicator constitutes proof of fraud. Good lighting can cause glare. Jammers do not operate on demand. Poor image quality alone is not grounds for rejection.

Therefore, professional anti-fraud is built as a set of independent checks, each of which either reinforces or alleviates suspicion. When several anomalies are detected simultaneously – that is a statistically significant signal for the expert.

VIEWAPP automatically collects and correlates such signals: it checks file integrity, analyzes the sequence of actions, tracks the inspection route, and uses algorithms for object recognition and visual anomaly detection. The expert’s role in such a system is not to search for a needle in a haystack independently, but to make an informed decision based on already structured information.

Fraud in inspections rarely looks like a movie: black hats, hacks, and hackers. More often, it is an everyday story – a client who does not want to show the real condition of an asset, and a smartphone in their hand. But, as we have seen, it can also be otherwise.

Understanding the motives and methods is the first level of defense. Automated control is the second. A qualified expert is the third. And all three must evolve: fraud does not stand still, and protection cannot afford to do so either.