Ad Fraud Glossary
Definitions of key terms in ad fraud, traffic quality, and digital advertising by FraudScore
A
- Ad Fraud Also known as: Advertising Fraud, Digital Ad Fraud Deliberate manipulation intended to mimic legitimate user engagement with digital advertisements (clicks, impressions, conversions) to illicitly capture marketing budgets. Juniper Research estimates that global ad fraud losses surpassed $100 billion by the mid-2020s. In FraudScore's 2025 aggregate data sample, which covers performance-driven mobile and programmatic channels, up to 47.40% of analyzed interactions exhibited signs of invalid activity, underscoring the necessity of continuous traffic auditing.
- Ad Fraud Prevention Tools Specialized software solutions that monitor, detect, and block invalid traffic in real time using machine learning, behavioral analytics, and multi-layer verification.
- Ad Injection The unauthorized insertion or replacement of advertisements on websites or in applications through malicious software or browser extensions, diverting advertising revenue and distorting campaign performance.
- Ad Stacking A fraudulent practice in which multiple advertisements are layered on top of one another within a single ad placement, allowing only the top ad to be visible while recording impressions for every hidden layer.
- AI Bots AI-powered automated programs designed to imitate human behavior and interact with digital advertising, websites, or applications while avoiding traditional fraud detection systems.
- AI Click Fraud AI-driven simulation of ad clicks designed to drain advertising budgets or generate fraudulent revenue by mimicking legitimate user behavior.
- Anomaly Detection A fraud detection method that identifies abnormal traffic behavior by comparing user activity with established baseline patterns.
- App Install Fraud Also known as: Install Fraud, Fake Installs A type of mobile advertising fraud in which fake or manipulated app installations are generated to fraudulently claim CPI or CPA advertising payouts.
- Attribution Fraud A type of advertising fraud that manipulates conversion attribution to falsely claim credit for clicks, installs, or purchases and receive undeserved advertising payouts.
- Auto-Refresh Fraud A type of impression fraud in which advertising placements or web pages are automatically reloaded without user interaction to artificially increase ad impressions and advertising revenue.
B
- Behavioral Analysis A fraud detection method that evaluates traffic quality by analyzing user behavior and comparing it with models of legitimate human interaction.
- Blacklist Fraud Also known as: Blacklist-Related Fraud Fraudulent advertising traffic originating from IP addresses, devices, domains, or other identifiers that have previously been associated with malicious activity and added to fraud blacklists.
- Bot Crawlers Also known as: Crawler Traffic Automated programs that scan websites for indexing or data collection and may generate non-human advertising interactions classified as General Invalid Traffic (GIVT).
- Bot Traffic The total volume of automated, non-human traffic generated by bots, scripts, and other automated systems that interact with websites, applications, and digital advertising.
- Bounce Rate Manipulation The artificial manipulation of bounce rate metrics using automated or fraudulent traffic to create a false impression of traffic quality or website performance.
- Brand Safety A set of policies, technologies, and practices designed to prevent advertisements from appearing alongside harmful, inappropriate, or brand-damaging content.
- Browser Automation The use of software frameworks to automatically control web browsers, which can be exploited to simulate realistic user behavior and generate advertising fraud.
- Browser Fraud A type of advertising fraud that manipulates browser characteristics to disguise automated traffic as legitimate user activity.
C
- Clean Traffic Verified human traffic free from fraud, automation, and other forms of invalid activity, providing reliable data for marketing measurement and optimization.
- Click Farm An organized operation that employs people or coordinated devices to generate fraudulent ad clicks and artificially inflate engagement metrics.
- Click Fraud The deliberate generation of invalid ad clicks to waste advertising budgets, manipulate campaign performance, or generate fraudulent revenue.
- Click Injection A mobile attribution fraud technique in which a malicious app generates a fake ad click immediately before an app installation to steal conversion credit.
- Click Scam A deceptive technique that manipulates users into clicking advertisements or interactive elements without their informed or intentional consent.
- Click Spam Also known as: Click Flooding A mobile attribution fraud technique that floods attribution systems with large volumes of fake ad clicks in an attempt to claim credit for future app installs.
- Conversion Fraud The fraudulent simulation of conversions such as registrations, purchases, subscriptions, or other valuable actions to generate illegitimate CPA or performance-based payouts.
- Conversion Validation The process of verifying the authenticity and quality of conversions by analyzing technical, behavioral, and attribution signals before approving performance-based payouts.
- Cookie Stuffing An affiliate fraud technique that secretly places affiliate tracking cookies on a user's device without their knowledge or interaction to claim unearned commissions.
- CTIT (Click-to-Install Time) The time interval between an ad click and the first launch of a mobile application, widely used to detect attribution fraud and abnormal installation patterns.
- Customer Acquisition Cost (CAC) A business metric that measures the total cost of acquiring a new paying customer, including marketing and sales expenses.
D
- Data Centre Traffic Traffic originating from cloud infrastructure, hosting providers, or data centers rather than genuine consumer devices. It is commonly classified as General Invalid Traffic (GIVT) and excluded from advertising analytics.
- Device Emulation The simulation of mobile or desktop devices by software to imitate real hardware characteristics. While widely used for testing, device emulation is also employed in advertising fraud to generate fake traffic and manipulate attribution.
- Device Fingerprinting Also known as: Browser Fingerprinting, Digital Fingerprinting A technique for identifying devices by combining browser, hardware, and network characteristics into a unique digital fingerprint without relying on cookies. Widely used for fraud detection, risk scoring, and traffic validation.
- Device Fraud Also known as: Device Anomalies A form of advertising fraud involving the manipulation of device characteristics or the use of physical and virtual devices to generate invalid advertising activity. Device fraud includes techniques such as device emulation, spoofing, and device farms.
- Device Intelligence A fraud detection technology that evaluates the hardware, software, and network characteristics of a device to assess its authenticity and risk level. It helps identify emulators, spoofed devices, and other sophisticated invalid traffic.
- Domain Spoofing A type of programmatic advertising fraud in which fraudsters falsify the publisher's domain to make low-quality or fraudulent inventory appear as premium advertising inventory.
E
F
- Fake Leads Fraudulent or artificially generated leads submitted to claim CPL or CPA payouts without genuine customer interest. Fake leads may be created by bots, stolen identities, or organized fraud operations.
- Fingerprint Consistency A measure of how consistently a device's technical attributes align with one another within its digital fingerprint. Inconsistent fingerprints often indicate spoofing, emulation, or other forms of advertising fraud.
- Fraud Detection The process of identifying, analyzing, and classifying invalid traffic and fraudulent activity within digital advertising campaigns. Fraud detection enables advertisers to understand traffic quality and make informed optimization decisions.
- Fraud Prevention The proactive process of blocking invalid traffic before it impacts advertising campaigns. Fraud prevention protects marketing budgets by stopping fraudulent interactions before impressions, clicks, installs, or conversions are recorded.
- Fraud Score Also known as: Fraud Risk Score, Traffic Risk Score A numerical risk score assigned to an advertising interaction that estimates the likelihood of fraud or invalid traffic. Fraud Scores help automate traffic filtering and campaign protection.
G
- General Invalid Traffic (GIVT) A category of invalid traffic consisting of known non-human activity, such as bots, crawlers, and data center traffic, that can typically be identified using standard detection methods.
- Generative Bot Traffic Traffic generated by AI-powered bots that use generative models to imitate realistic human behavior, making fraudulent interactions significantly harder to distinguish from legitimate users.
- Geo-Masking The practice of disguising a user's true geographic location using VPNs, proxies, or other network technologies to make advertising traffic appear to originate from more valuable regions.
H
- Headless Browsers Browsers that operate without a graphical user interface (GUI). While commonly used for testing and automation, they are frequently exploited to generate sophisticated invalid traffic and simulate human interactions with digital advertising.
- Hidden Ads Also known as: Invisible Ads Advertisements that are technically loaded but remain invisible to users, allowing fraudsters to generate fake impressions without any real ad exposure.
- Human Fraud Farms Also known as: Click Farms (Human-Based) Offline networks of real people paid to perform fraudulent digital actions such as clicks, installs, and registrations, designed to mimic genuine user activity.
- Human-like Automation Automated bots designed to mimic real human behavior such as mouse movement, scrolling, typing delays, and session pauses in order to evade fraud detection systems.
I
- Impression Fraud The generation of fraudulent ad impressions that are counted by advertising systems even though no real user has actually viewed the advertisement.
- Invalid Traffic (IVT) Any advertising impressions, clicks, or conversions that do not represent genuine user activity or legitimate commercial intent.
- IP Distribution Anomalies Unusual traffic patterns characterized by an abnormally high concentration of requests originating from a limited number of IP addresses, often indicating automated or fraudulent activity.
- IP Reputation A trust score assigned to an IP address based on its historical activity, helping identify suspicious or fraudulent traffic sources.
- IP Rotation The frequent switching of IP addresses to disguise automated traffic and evade fraud detection systems.
- IP Spoofing The falsification of an IP address to conceal the true origin of traffic or impersonate another user, device, or geographic location.
K
L
- Lead Fraud The generation of fake leads, registrations, or inquiries to fraudulently obtain payouts from cost-per-lead (CPL) advertising campaigns.
- Location Fraud The falsification of geographic location data to make advertising traffic appear to originate from more valuable regions or locations.
M
- Machine Learning Fraud Detection The use of machine learning algorithms to detect fraudulent advertising traffic by identifying complex behavioral patterns and anomalies in real time.
- Made-for-Advertising (MFA) Sites Websites created primarily to maximize advertising revenue rather than provide valuable content, often generating low-quality traffic and poor campaign performance.
- Malware-Based Fraud Advertising fraud that uses malware-infected devices to generate hidden clicks, impressions, or other fraudulent advertising activity.
- Mobile Fraud Fraudulent activities targeting mobile advertising through fake clicks, installs, SDK manipulation, and other techniques that generate invalid traffic and waste advertising budgets.
- Mobile Proxies Proxy networks that route traffic through real mobile carrier IP addresses, making automated traffic appear to originate from legitimate smartphone users.
- MRC (Media Rating Council) An industry organization that establishes standards for measuring advertising performance, viewability, and invalid traffic (IVT).
- Multi-Layer Detection A fraud detection approach that combines multiple technical, behavioral, and network-level signals to identify invalid traffic with greater accuracy.
N
P
- Pixel Stuffing A fraud technique that serves advertisements inside invisible 1×1 pixel frames while recording billable impressions that users never actually see.
- Programmatic Fraud Advertising fraud that exploits automated programmatic buying and selling through fake inventory, domain spoofing, and supply chain manipulation.
- Proxy Traffic Traffic routed through proxy servers to conceal a user's real IP address, network identity, or geographic location.
R
- Real-Time Protection The continuous verification and filtering of advertising traffic at the moment of an impression, click, or conversion to prevent fraud before advertising spend occurs.
- Refund-Ready Reports Documented fraud investigation reports containing verified evidence that advertisers can use to dispute invalid traffic and recover advertising spend.
- Residential Proxies Proxy servers that route traffic through the IP addresses of real residential internet users, making automated traffic appear legitimate.
- Retargeting Fraud Fraudulent manipulation of retargeting campaigns by generating fake user interactions that cause bots or invalid users to enter high-value remarketing audiences.
- Risk Scoring The process of evaluating the fraud risk associated with each advertising interaction by analyzing multiple technical, behavioral, and network signals.
- ROAS (Return on Ad Spend) A marketing performance metric that measures the revenue generated for every unit of advertising spend.
S
- SDK Spoofing The falsification or emulation of advertising SDK communications to generate fake installs, clicks, or in-app events without real user activity.
- Session Hijacking The unauthorized takeover of an active user session to perform actions while impersonating a legitimate user.
- Session Replay Analysis The analysis of recorded user interactions within a website or application to distinguish legitimate human behavior from automated activity.
- Signal-Based Detection A fraud detection method that identifies invalid traffic by analyzing known technical indicators, signatures, and predefined fraud signals.
- Sophisticated Invalid Traffic (SIVT) Advanced forms of invalid traffic that imitate legitimate user behavior and require sophisticated detection techniques to identify.
- Supply-Side Fraud Fraud committed by publishers or supply-side participants through fake inventory, manipulated impressions, or deceptive advertising practices.
- Synthetic Traffic Artificially generated traffic produced by bots, scripts, or automated infrastructure without genuine human participation.
- Synthetic Users Artificially created user identities designed to imitate legitimate users across advertising and digital platforms.
T
- Threat Intelligence The continuous collection and analysis of threat data used to identify emerging fraud techniques and improve anti-fraud protection.
- Toolbar Traffic Traffic generated by browser toolbars or extensions, often without the user's knowledge or explicit interaction.
- Traffic Filtering The process of identifying and filtering invalid traffic before or after advertising interactions using detection rules and analytical models.
- Traffic Laundering A fraud technique that disguises the true origin of advertising traffic by routing it through redirect chains or intermediary domains.
- Traffic Quality A measure of how much advertising traffic consists of genuine users with authentic engagement and conversion potential.
- Traffic Scoring The process of assigning risk and quality scores to advertising traffic based on technical, behavioral, and contextual signals.
U
- URL Hijacking A fraud technique that intercepts or manipulates URLs to redirect users to unauthorized or malicious destinations.
- User Agent Spoofing A technique that falsifies the User-Agent string to disguise a device, browser, or operating system and evade fraud detection.
V
- Velocity Checks A fraud detection technique that identifies abnormal activity by measuring the speed and frequency of user actions.
- Viewability Fraud A fraud technique that manipulates ad viewability metrics by recording impressions that are technically served but never actually seen by users.
- VPN Traffic Advertising traffic routed through Virtual Private Network (VPN) services to conceal a user's real IP address and geographic location.