Reports

Bitdefender 2026 Global Scam Intelligence Report Warns Online Scams Have Become a Cross-Platform Cybercrime Industry

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Bitdefender’s The Global Scam Intelligence Report 2026 shows how online scams have evolved far beyond crude phishing emails and fake websites into a coordinated, industrialized cybercrime economy. Drawing on real-world scam activity observed between January 1 and December 31, 2025, the report analyzes telemetry spanning trillions of URLs, billions of messages, live ad ecosystems, call honeypots, and direct consumer submissions.

The scale is striking. Bitdefender cites roughly $442 billion in consumer scam losses in 2025, while framing scams as part of a broader trillion-dollar criminal business model. Its survey of 7,000 consumers across seven countries found that 1 in 7 people, or 14%, fell victim to a scam in the past year, with the United States leading at 17%, followed by the United Kingdom and Australia at 16% each.

Scams Are Now the Fastest-Emerging Form of Cybercrime

The report’s central warning is that scams are no longer isolated acts of deception. They now operate like structured businesses, using marketing budgets, regional targeting, performance tracking, operational schedules, and repeatable playbooks to reach victims across social media ads, SMS, WhatsApp, voice calls, email, gaming communities, fake endorsements, hijacked news cycles, and even deepfake-enabled call centers.

In 2025, Bitdefender scanned 2.8 trillion short URLs, identified and blocked 10 billion phishing URLs, analyzed 1.4 billion short messages, tracked scam ads reaching 60 million people across social media and video platforms, and analyzed 52 million phone numbers for reputation. The findings point to a major shift: social media has overtaken email as a primary attack vector, finance scams dominate every channel, scam operations increasingly resemble legitimate businesses, and trust has become the central vulnerability.

Misinformation Is Embedded in the Scam Model

The report does not frame scams primarily through the lens of political misinformation or broad public disinformation campaigns. Instead, it shows how deception is used operationally: scammers create false trust, false urgency, false scarcity, false identity, and false legitimacy to move victims toward a financial or credential-related decision.

This makes misinformation a core part of the modern scam economy. A fake investment ad is not just a malicious link. It is a manufactured narrative. A fraudulent WhatsApp business account is not just a message. It is a false institutional identity. A fake celebrity endorsement is not just a visual trick. It is a trust shortcut. A scam tied to a breaking news event is not merely opportunistic. It is an attempt to insert fraud into a moment when people are already emotionally engaged or actively searching for information.

Bitdefender’s report repeatedly shows that the most effective scams do not always rely on technical sophistication alone. They rely on manipulating context. Scammers meet people where they already are, using platforms and moments that feel familiar enough to lower suspicion.

Malvertising Became a Major Battlefield

One of the strongest sections of the report focuses on malvertising. Bitdefender says that in 2025, malicious advertising was no longer a niche tactic. It became a primary delivery mechanism for scams and malware.

Bitdefender Labs uncovered repeated campaigns abusing Meta, Google, and YouTube ad ecosystems. These campaigns included fake “TradingView Premium” ads that jumped across platforms, fraudulent “Meta Verified” browser extensions designed to steal accounts, crypto malware delivered through sponsored posts, and fake beta invites for games such as Battlefield 6 and The Witcher 4.

The common thread is that attackers increasingly relied on legitimate advertising infrastructure to distribute malicious content. That matters because paid ads are supposed to pass verification checks and often appear alongside legitimate posts, videos, search results, and feeds. Users may not assume that a sponsored placement is safe, but the format still carries a sense of platform approval.

The report also shows that these campaigns are becoming more technically refined. Some campaigns used multi-stage malware chains, shifted across operating systems, and expanded from desktop users to Android devices. Others used front-end and back-end logic to bypass detection, serving clean content when analysis tools or missing ad-tracking parameters were detected.

Fake Endorsements Turned Trust Into a Weapon

The social media section makes clear that scammers are not merely posting links. They are building persuasion systems. One campaign described in the report launched more than 100 malicious ads in 24 hours from a single page on Meta platforms. Hundreds of coordinated Facebook accounts promoted pages impersonating Binance, TradingView, MetaMask, ByBit, Gate.io, MEXC, and SolFlare.

The campaign used fake celebrity endorsements from figures such as Elon Musk, Zendaya, and Cristiano Ronaldo. These names were not incidental. They were used as credibility shortcuts to make crypto-themed offers feel familiar, exciting, and socially validated.

By August 2025, the campaign had expanded to Android, deploying an evolved Brokewell Trojan capable of screen streaming, keystroke logging, two-factor authentication interception, wallet theft, and camera access. At least 75 malicious ads reached tens of thousands of EU users within weeks.

This is where scam-driven misinformation becomes especially dangerous. The victim is not only deceived by a fake page or malicious app. They are shown a carefully staged environment in which familiar brands, famous people, sponsored placements, and platform-native design combine to create the illusion of legitimacy.

Scammers Hijacked Real-World Events in Real Time

Another defining trend in the report is speed. Bitdefender found that scammers capitalized on news cycles almost instantly, inserting themselves into real-world events, cultural moments, holidays, concerts, viral product hype, and public grief.

The report cites scam campaigns tied to the death of Pope Francis and the tragic passing of Liverpool’s Diogo Jota. Seasonal moments such as Easter, Halloween, Black Friday, and Christmas were also exploited. Viral product hype around the Starbucks Bearista cup became bait. Concert tours featuring Metallica and The Weeknd were turned into fake ticket scams. Holiday travel spikes triggered malware campaigns targeting Booking.com partners.

This is a particularly important misinformation pattern. Scammers monitor what people are already searching, grieving, celebrating, or anticipating, then use that attention to deliver fraud. The scam works because the topic is real, even if the offer, link, ticket, promotion, investment, or donation appeal is fake.

That blending of real events with fraudulent infrastructure makes detection harder for ordinary users. A person may be skeptical of random messages, but less skeptical when the scam appears connected to something already dominating their feed, inbox, or search behavior.

Phishing Remains the Global Anchor Threat

Despite the rise of social media scams and malvertising, phishing remains the dominant global scam category. Bitdefender found that phishing accounted for roughly 24.5% of reported incidents globally. It was followed by financial and investment scams at 10.7%, fake shop and advertising scams at 9.3%, and job scams at 8.7%.

Social media scams accounted for 7%, while delivery scams represented 5.9%. Romance, crypto, advance fee, and survey scams rounded out the global top 10.

The report emphasizes that the top three categories alone account for close to half of all reported activity. That concentration suggests that criminals are focusing heavily on scalable models that can be replicated across regions and platforms.

Regionally, phishing was consistently the leading threat across analyzed markets, but its weight varied by country, exceeding 30% of total scam volume in some places. Financial and investment scams performed strongly in multiple Western markets, while fake shops and fraudulent advertising campaigns ranked prominently across regions, reinforcing the importance of social platforms and online ads as distribution channels.

SMS Remains a High-Trust Channel for Fraud

The report gives a detailed view of SMS-based scams, showing that text messaging remains one of the most intimate and dangerous digital communication channels. Unlike email or web content, SMS messages arrive directly on personal devices alongside legitimate communications from banks, delivery services, family members, employers, and government agencies.

Bitdefender observed 140,000 scam clusters, 260,000 risky campaigns, and 92 million risky messages. Across the analyzed SMS aggregation, 5.16% of all analyzed SMS traffic was associated with risky campaigns. Put simply, around 1 in 20 analyzed SMS messages exhibited characteristics consistent with scam infrastructure or coordinated fraud.

The most common SMS scam category was finance, accounting for 36% of the distribution. Entertainment represented 22%, delivery 12%, prize scams 11%, government scams 9%, healthcare 5%, insurance 3%, and toll tax 2%.

This breakdown shows how scammers use SMS to impersonate institutions and services that people already expect to hear from. A fake bank alert, delivery notice, healthcare message, toll tax warning, or prize notification can feel plausible because the channel is already used for urgent, transactional communication.

Finance Scams Dominate Because They Shorten the Path to Loss

Finance scams dominate across SMS, social ads, WhatsApp, voice calls, and email because they compress the victim’s decision-making process. A banking phishing text creates urgency. A fake crypto investment ad triggers fear of missing out. A fraudulent call from a supposed financial institution creates authority. A WhatsApp business account can make a fake investment opportunity feel like a legitimate commercial interaction.

The report shows that investment fraud, banking phishing, and crypto-themed scams appear consistently across channels. The specific lure changes depending on the platform, but the objective remains the same: move the victim toward a financial decision before skepticism has time to intervene.

This is one of the reasons scams increasingly resemble sales funnels. A victim may first see an ad, then land on a fake website, then receive a message, then be called by a closer. Each step is designed to increase trust, reduce friction, and push toward payment, credential theft, wallet compromise, or account takeover.

Social Media Scams Exploit Platform Trust

Bitdefender’s social media findings show how paid advertising changes the psychology of scams. Unlike phishing emails, social media advertising scams do not arrive in a victim’s inbox. They appear beside legitimate content in feeds, videos, and sponsored placements.

The report found an overall victim interaction rate with social media scams of 36%. The top-performing categories were health, style and beauty, and entertainment, all of which outperformed the average. Romania stood out, with more than 40% of the population seeing at least one scam ad. The report also estimates exposure at population scale, including 18.2 million Americans, 11.1 million Germans, and 8.5 million people in the UK.

The categories that underperformed, such as gambling and finance, were still not safe. Their lower engagement may reflect higher skepticism or platform filtering, not an absence of risk. This is important because social media scams do not need extremely high conversion rates to be profitable. At platform scale, even modest interaction rates can produce large victim pools.

WhatsApp Business Accounts Became Scam Infrastructure

The report’s WhatsApp section is one of the clearest examples of how scammers weaponize legitimacy. Bitdefender found that 60% of risky WhatsApp conversations globally originated from business accounts. In India alone, the company detected more than 310,000 risky WhatsApp conversations during the analyzed period.

WhatsApp Business gives scammers tools that resemble legitimate customer service infrastructure. A business account can display a brand name instead of a random phone number. It can add a logo, business description, catalog, quick replies, automated greetings, labels, and CRM integrations. In some cases, verified indicators such as blue checkmarks can further increase perceived legitimacy.

For a scam operation handling hundreds of conversations at once, these features are powerful. Scammers can automate early interactions, script phishing flows, triage responses, and escalate higher-value targets to human operators. The report describes this as a weaponized sales funnel, which is exactly how many modern scams now operate.

The use of WhatsApp Business also varies by region. In parts of Latin America, India, the Middle East, and Southeast Asia, WhatsApp is a default business communication channel. Small retailers, banks, delivery services, and government offices may use it for frontline support. In those markets, a business account can feel normal rather than suspicious.

The “Vote for Me” Scam Shows How Account Takeover Spreads

One WhatsApp case study in the report focuses on the “Vote for me” scam. In this scenario, scammers contact potential victims over WhatsApp and send links to rogue websites asking them to vote for children in a contest promising scholarships abroad.

Victims are shown a professional-looking website with photos of young dancers to strengthen the illusion of legitimacy. To vote, visitors are asked to enter their phone number and a verification code. But the code is actually the victim’s WhatsApp authorization code. Once entered, it gives scammers control of the account.

The anatomy of the scam is simple but effective. The victim receives a message from a contact or familiar-looking account, follows a link to a polished website, enters a phone number, receives a code, and enters that code to confirm the vote. At that moment, the scammer gains access.

The damage does not end with the first victim. Once an account is taken over, scammers can use it to contact the victim’s friends, family, and groups. The scam spreads through trust relationships rather than cold outreach.

The Sephora Advent Calendar Scam Turned Victims Into Distributors

Another WhatsApp case study focuses on a Sephora Advent Calendar scam. Unlike the “Vote for me” campaign, this scam relied less on account takeover and more on viral incentive mechanics.

Victims were offered a “free luxury advent calendar” from Sephora. To claim it, users were asked to forward the message to their WhatsApp contacts. Some scammers used more realistic thresholds, such as asking users to send it to 20 contacts instead of their entire contact list, to make the request feel more believable.

This type of scam works because it converts victims into distributors. The campaign spreads through social endorsement rather than impersonation alone. A message forwarded by a real contact is more likely to be opened, trusted, and acted on than one from an unknown number.

The report also identifies other recurring WhatsApp scam themes, including requests for help with projects, Black Friday promotional offers, Bitcoin investment opportunities, small investment opportunities, and government or institutional grant claims.

Gaming Scams Used Hype, Scarcity, and Urgency

The report also highlights gamers as a major target group in 2025. Gaming culture proved attractive to cybercriminals because gaming accounts often contain valuable digital assets, saved payment methods, and in-game purchases.

Fake beta invites, early-access promises, and “exclusive” game builds were used to steal Steam credentials and deploy infostealers. High-profile titles generated predictable waves of fraud. The report summarizes the formula as hype, scarcity, and urgency.

This is another example of platform-native deception. A gamer eager for early access to a major title may not interpret a beta invite the same way they would interpret a suspicious banking email. The scam succeeds by matching the language, timing, and emotional context of the gaming community.

Voice Call Scams Still Work Because They Add Pressure

Voice calls remain one of the most effective scam-delivery channels because they create urgency, emotional pressure, and immediate interaction. Unlike email or SMS, a phone call allows the scammer to adapt in real time, respond to hesitation, escalate persuasion, and keep the victim engaged long enough to extract data or money.

Bitdefender analyzed nearly 150 million incoming calls throughout 2025. More than 23.5 million were classified as unwanted, representing more than 15% of all incoming calls received globally. The company processed calls from more than 52 million unique phone numbers, of which more than 550,000 were identified as unwanted numbers.

The report describes voice scam operations as industrialized. Robocall infrastructure handles scale, local spoofing builds credibility, and human operators take over when a victim engages. Leads are generated through robocalls or data leaks, callers follow scripted social engineering flows, and successful transfers are escalated to “closers” trained to extract credentials, remote access, or direct payments.

This structure mirrors legitimate outbound sales or support centers. The difference is that the product is fraud.

Deepfakes Are Already Part of Investment Fraud Operations

While deepfakes are not the dominant focus of the report, they do appear in a notable voice scam case. Bitdefender cites a late-2024 case in Chișinău, where 24 suspects were detained for running several call centers suspected of using deepfakes to scam victims.

According to the report, scammers used deepfakes of politicians, businesspeople, and journalists to persuade victims to “invest” in nonexistent companies. The same operation reportedly used lie detector tests during hiring to screen potential undercover law enforcement officers.

This example is important because it shows how deepfakes can be integrated into a broader fraud machine. The deepfake does not replace the scam operation. It strengthens the persuasion layer. When paired with call centers, scripts, fake investment narratives, and trained closers, synthetic media becomes another tool for manufacturing trust.

That makes deepfakes especially dangerous in investment scams. Victims may not be asked to believe an anonymous caller. They may be shown or told that a recognizable public figure, executive, journalist, or political figure is validating the opportunity.

Scam Centers Operate Like Businesses

The report’s global context section adds another layer by discussing mass arrests and law enforcement activity in countries such as Cambodia and Myanmar, as well as call center cases in Europe and the United States.

Cambodia spent much of 2025 running one of the largest anti-scam enforcement campaigns in the region. Authorities carried out coordinated raids across provinces, shut down hundreds of suspected online scam compounds, detained thousands of suspects, and seized equipment used for fraud operations. The report also notes a humanitarian side: many workers freed from or fleeing scam compounds ended up in shelters with minimal support after cuts in foreign aid, creating a secondary crisis around displaced victims of scam labor.

Myanmar’s situation was more complicated because of politics and conflict. Scam centers, particularly large hubs such as KK Park near the Thailand border, were the focus of law enforcement activity. The military junta claimed to have cleared KK Park, freed more than 2,000 workers, and seized satellite internet gear often used to sustain scam operations. Independent verification of enforcement effectiveness varied.

In Europe and the Americas, the report references investment fraud call centers in Spain and Portugal, boiler-room style crypto investment call centers in Germany, US networks involving tech support and IRS impersonation, and the Chișinău deepfake-linked call center case.

Together, these examples show that the scam economy has a physical infrastructure as well as a digital one. Behind malicious links, fake ads, and deceptive messages are often organized teams with offices, payroll, scripts, managers, KPIs, and regional strategies.

Trust Is the Core Vulnerability

Across every channel, the recurring theme is trust. SMS works because people trust messages from banks, delivery services, and employers. WhatsApp scams work because people trust contacts and business accounts. Social media scams work because people trust ads placed inside familiar platforms. Voice scams work because live interaction creates urgency and authority. Deepfake-enabled scams work because recognizable figures can be used to manufacture credibility.

The report’s most important insight is that scams increasingly exploit the normal patterns of digital life. They do not always look foreign to the platform. They often look native. A scam ad looks like an ad. A WhatsApp business scam looks like customer support. A fake ticket offer looks like a concert promotion. A crypto scam looks like an investment opportunity. A delivery scam looks like a package update.

That is why the boundary between cybersecurity and misinformation is becoming harder to separate. Modern scams are not just malicious infrastructure. They are false stories delivered through trusted systems.

How Consumers Can Reduce Risk

Bitdefender’s guidance centers on slowing down before acting. Scams often rely on urgency, fear, greed, or curiosity, so any message demanding immediate action should be treated with caution.

Consumers should never share passwords, one-time codes, PINs, recovery phrases, or install remote access software at a caller’s request. Requests involving gift cards, crypto, wire transfers, or processing fees are major red flags. Messages about banking, delivery, taxes, investments, prizes, or account problems should be verified through official websites or phone numbers, not links or numbers provided in the message.

Users should also avoid assuming that sponsored ads, business accounts, caller ID, or verified-looking badges are legitimate. Strong multi-factor authentication, careful domain checks, and a habit of verifying through a second channel can significantly reduce the risk of falling victim.

Technology Has Become Necessary Because Manual Defense Cannot Scale

The report argues that scam operations are industrialized, using automation, AI-generated content, spoofed infrastructure, and paid advertising to scale attacks across millions of targets. Consumers cannot realistically analyze every call, message, link, ad, and account manually.

Technology helps level the field by applying real-time threat intelligence, behavioral analysis, reputation scoring, anti-phishing engines, anti-fraud systems, call blocking, web protection, and user-submitted scam validation tools. The goal is to shift protection earlier, blocking malicious exposure before a consumer is forced to make a decision.

This is especially important as scams move across channels. A user may encounter the same criminal operation through a sponsored ad, a fake landing page, a WhatsApp message, and a voice call. Defenses need to understand that these are not separate events, but parts of the same scam pipeline.

A Cross-Platform Threat That Will Keep Adapting

Bitdefender’s The Global Scam Intelligence Report 2026 shows that online scams have become a global cybercrime industry built around speed, scale, persuasion, and trust manipulation. The most dangerous scams are no longer confined to suspicious emails or obvious fake websites. They are embedded into ads, messaging apps, phone calls, social feeds, gaming communities, financial narratives, and real-time news cycles.

The report also makes clear that misinformation, disinformation-style tactics, and deepfakes do not need to dominate every scam category to matter. Scammers already use fake endorsements, impersonated brands, hijacked public events, deceptive business accounts, synthetic media, and manipulated social proof to create convincing realities around fraudulent offers.

As the report demonstrates, the next phase of scam prevention will depend on understanding scams as connected systems. The threat is not just a bad link, a fake message, or a suspicious call. It is an industrialized deception engine designed to reach people through the platforms, events, brands, and relationships they already trust.

Antoine is a visionary leader and founding partner of Unite.AI, driven by an unwavering passion for shaping and promoting the future of AI and robotics. A serial entrepreneur, he believes that AI will be as disruptive to society as electricity, and is often caught raving about the potential of disruptive technologies and AGI.

As a futurist, he is dedicated to exploring how these innovations will shape our world. In addition, he is the founder of Securities.io, a platform focused on investing in cutting-edge technologies that are redefining the future and reshaping entire sectors.