Listen to this Post
Introduction: The Ad War Has Entered a New Phase
For years, the debate surrounding ad blockers has been treated as a simple conflict between users and the businesses that fund the internet through advertising. Publishers need revenue. Platforms need advertisers. Users, meanwhile, want websites that load quickly, respect their privacy, and do not bombard them with intrusive banners, autoplay videos, tracking scripts, and suspicious pop-ups.
But there is another side to this debate that deserves far more attention.
Security.
An advertisement displayed inside a familiar platform can appear harmless while quietly becoming the first step in a much more dangerous chain. A fraudulent investment promotion can lead to a fake financial website. A government-benefit advertisement can harvest personal information. A fake security warning can push users toward malware. A cloned celebrity campaign can redirect victims into encrypted messaging channels where the actual fraud begins.
That means an ad blocker is sometimes doing considerably more than improving the browsing experience.
It can be removing a potential attack path.
uBlock Origin and the Endless Fight Against Platform Advertising
Reports that the team behind uBlock Origin is stepping back from the never-ending effort to keep filtering Facebook advertising highlight a fundamental problem with modern web advertising.
The technology used to deliver advertisements is constantly evolving, and so are the techniques used to block it.
An ad blocker typically relies on filter lists, network request rules, page-element detection, script blocking, and other mechanisms to identify advertising and tracking infrastructure. When a platform changes the way advertisements are delivered, those rules can stop working.
The platform changes its implementation.
The blocker adapts.
The platform changes again.
The blocker adapts again.
And the cycle continues.
On a platform operating at enormous scale, this is an uneven battle. Large technology companies have engineers, infrastructure, telemetry, advertising teams, security researchers, automated systems, and enormous quantities of data available to them.
Open-source projects and independent filter maintainers generally do not have equivalent resources.
The Cat-and-Mouse Game Is Becoming More Difficult
The problem becomes particularly complicated when advertising is integrated directly into the same infrastructure that delivers ordinary content.
If an advertisement arrives through a clearly identifiable advertising domain, blocking it can be relatively straightforward.
But what happens when sponsored content is delivered through first-party infrastructure?
What happens when the advertisement resembles an ordinary post?
What happens when the platform changes element names, scripts, APIs, or delivery mechanisms every time blocking rules become effective?
The distinction between content and advertising becomes increasingly difficult for automated tools to maintain.
This creates the classic cat-and-mouse problem.
Filter developers identify a pattern.
Platforms modify the pattern.
Users update their filters.
Platforms introduce another change.
Eventually, maintaining the filters can become a continuous engineering project rather than a simple privacy feature.
Ads Are Not Always Just Annoying
The strongest argument for ad blocking is often presented as convenience.
Pages load faster.
Tracking is reduced.
Autoplay videos disappear.
Visual clutter is removed.
Battery and bandwidth consumption can decrease.
Those advantages are real, but they do not tell the entire story.
Malwarebytes General Manager Mark Beare emphasized another important function of ad blockers: they can prevent malicious and scam advertisements from reaching users.
That distinction matters.
A malicious advertisement does not necessarily look malicious.
It may use the logo of a major bank.
It may imitate a government agency.
It may display a photograph of a famous entrepreneur.
It may advertise a supposed cryptocurrency opportunity.
It may promise an unexpected tax refund.
It may claim that a
It may even copy the visual identity of a legitimate company.
The advertisement itself becomes the deception mechanism.
Malvertising Turns Advertising Into an Attack Vector
The cybersecurity industry has long used the term malvertising to describe malicious advertising campaigns.
The concept is simple but powerful.
Attackers purchase or compromise advertising infrastructure and use advertisements to expose large numbers of people to malicious websites, scams, exploit kits, phishing pages, or fraudulent offers.
The attacker does not necessarily need to compromise the victim’s computer directly.
Instead, the attacker needs to convince the victim to click.
That makes advertising particularly attractive to criminals.
Advertising infrastructure is designed to reach people at scale.
Cybercriminals are interested in exactly the same thing.
The Most Dangerous Ads Can Look the Most Legitimate
A user browsing Facebook or Instagram may already trust the platform.
That trust can transfer to the advertisements displayed inside it.
This creates a psychological advantage for attackers.
A scam hosted on an unknown website may immediately look suspicious.
The same scam presented as a sponsored advertisement inside a familiar social network can appear far more credible.
The platform’s reputation effectively becomes part of the attacker’s deception.
That is why advertisement moderation is not merely a commercial responsibility.
It is increasingly a cybersecurity responsibility.
The Advantage Still Belongs to the Platforms
Large platforms possess a structural advantage in the advertising battle.
They control the advertising infrastructure.
They control how content is rendered.
They control much of the data surrounding advertising transactions.
They can modify their systems quickly.
They can introduce new delivery mechanisms without waiting for independent developers to adapt.
This creates a fundamental imbalance.
An independent blocker has to discover what changed.
A platform already knows what changed.
That difference can be enormous.
The Revenue Argument Is Real, But It Is Not the Whole Argument
It would be unfair to suggest that every platform attempting to make advertising difficult to block is automatically acting maliciously.
Advertising pays for enormous portions of the modern internet.
News organizations, video platforms, social networks, blogs, search engines, forums, and countless free services depend on advertising revenue.
Without advertising, many services would need to introduce subscriptions, paid access, higher prices, or alternative monetization systems.
That economic reality should not be ignored.
But revenue cannot become an excuse for tolerating dangerous advertisements.
The more deeply advertising is integrated into a platform, the greater the responsibility to ensure that advertisements deserve the trust users place in that platform.
The Meta Advertising Problem Raises Bigger Questions
The article points to internal Meta documents reviewed by Reuters that reportedly projected roughly 10% of the company’s 2024 revenue, equivalent to about $16 billion, could come from advertisements involving scams and banned goods.
Meta disputed the characterization and described the estimate as rough and overly inclusive, arguing that the true amount was lower.
That distinction is important.
The figure should not automatically be interpreted as meaning that $16 billion of Meta’s revenue definitively came from confirmed criminal advertisements.
However, even the existence of such an internal estimate raises a serious question.
How large can the economic ecosystem around fraudulent advertising become before the problem stops being treated as an unfortunate moderation failure and starts being treated as a systemic security issue?
The Speed of Fraud Works in
Scammers do not need a fraudulent advertisement to remain online forever.
They may only need it to survive long enough to reach victims.
A campaign can operate for hours.
A landing page can be replaced.
A redirect can be changed.
A fake account can disappear.
Another account can appear.
The infrastructure can move.
The advertisement can be rewritten.
The same criminal operation can test dozens of approaches until one produces enough victims.
This creates a major challenge for traditional moderation systems.
A system designed around reviewing individual advertisements may struggle against an adversary operating an entire network.
One Fake Advertisement Can Become a Full Attack Chain
The visible advertisement is often only the beginning.
A typical fraud chain may look like this:
Advertisement → Landing page → Redirect → Credential theft → Payment request → Private messaging → Continued fraud
In other cases, the chain can become:
Advertisement → Fake software update → Malicious download → Malware infection → Credential theft
Or:
Advertisement → Fake investment platform → Initial deposit → Social engineering → Larger payment demands
The advertisement therefore should not be evaluated in isolation.
Security teams need to understand the entire infrastructure behind it.
Platforms Need to Look Beyond the Creative
A dangerous advertisement is not always identifiable from its image or text.
A legitimate-looking advertisement may redirect users through suspicious infrastructure.
A harmless-looking landing page may later be replaced with a fraudulent one.
A campaign may use tracking mechanisms to identify potential victims.
A seemingly independent group of advertisers may actually be controlled by the same criminal organization.
This means advertisement review should include more than the creative itself.
Platforms should examine destinations, redirects, domains, infrastructure relationships, account behavior, payment information, and historical patterns.
High-Risk Categories Need Stronger Verification
Certain advertising categories deserve additional scrutiny because criminals repeatedly exploit them.
Financial services are an obvious example.
Cryptocurrency is another.
Health products, employment opportunities, government benefits, tax refunds, loans, investment programs, and online shopping promotions are also attractive targets.
A platform should not necessarily treat every advertisement in these categories as fraudulent.
It should recognize that the potential damage from a fraudulent advertisement is substantially higher.
Verification requirements should reflect that risk.
Advertiser Identity Should Matter
One of the simplest improvements would be stronger advertiser verification.
Platforms should have greater confidence about who is actually paying for an advertisement.
That does not mean verification will eliminate fraud.
Criminals can steal accounts.
They can create shell companies.
They can purchase compromised identities.
They can exploit legitimate advertising accounts.
But stronger identity controls raise the cost of abuse and make large-scale fraud networks easier to investigate.
The Destination Should Be Reviewed Too
An advertisement may appear completely legitimate while its destination tells another story.
That is why platforms should inspect:
Landing pages
Redirect chains
Domains
URL reputation
Tracking behavior
Download behavior
Login forms
Payment requests
Cryptocurrency wallets
Embedded scripts
Changes made after approval
An advertiser should not receive permanent trust simply because the original advertisement passed an automated review.
Private Messaging Creates Another Security Blind Spot
Some scams use advertisements primarily to move victims into private conversations.
The public-facing advertisement may look relatively harmless.
The actual manipulation happens afterward.
The victim may be instructed to contact an alleged financial adviser, customer-service representative, recruiter, government agent, or investment expert through a private messaging service.
Once the conversation moves away from public content, the scammer gains a more controlled environment.
That makes the transition from advertisement to private messaging an important point for detection systems.
Fraud Networks Should Be Treated as Networks
Removing one fraudulent advertisement is useful.
Removing the entire network behind it is much better.
Suppose ten advertising accounts promote nearly identical investment scams.
They use different names.
They use different profile pictures.
They use slightly different advertisements.
But they share domains, payment infrastructure, tracking identifiers, landing-page templates, or other technical fingerprints.
Treating each advertisement as an independent case allows the network to survive.
Treating the campaign as an interconnected system can expose the operation much faster.
Users Need Better Reporting Tools
Reporting systems also matter.
Users should be able to report suspicious advertisements quickly.
But reporting should not feel like sending information into a black hole.
Platforms should communicate whether an advertisement was reviewed and whether action was taken when appropriate.
Better feedback can also help users understand recurring scam patterns.
The reporting mechanism itself becomes part of the security ecosystem.
Blocking Alone Cannot Solve the Problem
Ad blockers are useful, but they cannot become the only defensive layer.
A blocker may prevent a malicious advertisement from loading.
Browser security features can identify dangerous websites.
Security software can detect malicious files.
Password managers can make fake login pages easier to recognize because credentials may not automatically fill.
Multi-factor authentication can reduce the impact of stolen passwords.
User awareness can stop suspicious transactions.
Each layer addresses a different part of the attack chain.
That is why layered security remains essential.
Privacy and Security Often Overlap
The debate over advertising also intersects with privacy.
Advertising systems frequently depend on tracking users, measuring behavior, profiling audiences, and delivering personalized content.
Not every tracking technology is inherently malicious.
But excessive tracking can increase privacy risks and create additional opportunities for abuse.
Reducing unnecessary tracking can therefore serve both privacy and security goals.
This is one reason browser-level privacy tools remain relevant even when users are not specifically concerned about advertising.
The Browser Is Becoming a Security Boundary
Modern browsers are no longer simply applications for displaying websites.
They have become security boundaries.
They manage permissions.
They isolate processes.
They block dangerous downloads.
They enforce encryption policies.
They restrict scripts and resources.
They warn about phishing.
They interact with extensions that can block trackers, advertisements, and malicious domains.
As advertising becomes more deeply integrated into websites, browser-level controls become increasingly important.
The Bigger Question Is Trust
Ultimately, this debate is not only about ads.
It is about trust.
When a user sees content inside a major platform, the platform has created an environment that appears legitimate.
That legitimacy can be exploited.
The question is therefore not simply:
Can this advertisement make money?
The more important question is:
“Can this advertisement safely appear in front of millions of people?”
Those are two very different standards.
What Undercode Say:
The Security Cost of the Advertising Arms Race
The most important lesson from the battle between ad blockers and major advertising platforms is that the technical conflict has consequences beyond page aesthetics.
When platforms make advertisements increasingly difficult to distinguish from normal content, security filtering becomes harder.
When security filtering becomes harder, malicious campaigns gain another advantage.
The user ultimately becomes the last line of defense.
That is not an ideal security architecture.
A mature advertising ecosystem should not depend on users recognizing every fake advertisement.
It should not expect ordinary people to distinguish a legitimate financial company from a carefully cloned impersonation.
It should not require users to inspect URLs before every click.
It should not assume that everyone understands redirect chains, domain registration, cryptocurrency fraud, phishing, or social engineering.
The platform has more visibility than the individual user.
The platform has more technical resources than the individual user.
The platform also controls the environment where the advertisement appears.
That creates responsibility.
Ad blockers should therefore not be viewed exclusively as competitors to advertising.
They can also function as an additional security layer.
The same filter that removes an annoying banner can sometimes prevent a malicious redirect.
The same network rule that blocks a tracker can prevent communication with suspicious infrastructure.
The same browser extension that improves privacy can reduce exposure to fraudulent advertising.
This does not make every blocker perfect.
It does not make every filter accurate.
It does not mean platforms should stop improving advertising technology.
It means the security value of blocking technology deserves recognition.
The advertising industry should also recognize that defeating blockers is not necessarily the best long-term strategy.
If advertisements become safer, lighter, less invasive, and more trustworthy, users may have fewer reasons to block them.
If platforms continuously increase tracking and make advertisements more aggressive, users will naturally seek stronger defenses.
The relationship is therefore partly shaped by incentives.
Better advertising creates less resistance.
Worse advertising creates more blocking.
Safer advertising creates fewer opportunities for criminals.
More deceptive advertising creates more opportunities for fraud.
The most effective solution is not to win the arms race.
It is to make the arms race less necessary.
Platforms should invest in advertiser identity verification.
They should analyze entire campaigns rather than individual advertisements.
They should monitor landing pages after approval.
They should examine redirect behavior.
They should connect related advertiser accounts.
They should identify repeated infrastructure.
They should respond rapidly to impersonation.
They should provide stronger user reporting.
They should make privacy controls easier to understand.
And they should recognize that advertising security is now part of platform security.
Meanwhile, users should continue using multiple defensive layers.
A modern browser should be configured with sensible privacy and security protections.
Known malicious domains should be blocked.
Suspicious downloads should be avoided.
Unexpected payment requests should be treated with skepticism.
Financial opportunities promising guaranteed or extraordinary returns should receive particular scrutiny.
Government-payment advertisements should be verified through official channels.
Users should never assume that an advertisement is legitimate simply because it appears on a famous platform.
The platform may be legitimate.
The advertisement may not be.
That distinction could prevent a great deal of damage.
Deep Anlysis: Examining the Threat From the Browser
Inspect Network Connections
Security-conscious users can begin by examining unexpected network connections from a browser session.
On Linux, tools such as ss can provide visibility into active network sockets:
ss -tupn
This does not identify every malicious advertisement by itself, but it can help security researchers understand which processes are establishing outbound connections.
Inspect DNS Activity
DNS resolution is another useful layer when investigating suspicious browsing behavior.
For a domain that appears in an advertisement, researchers can examine its DNS information with:
dig example.com
For more detailed investigation:
dig example.com ANY
Security teams should avoid assuming that a single DNS result proves malicious activity. Domains can use legitimate hosting providers, CDNs, and shared infrastructure.
Check HTTP Headers
A suspicious website can also be inspected using:
curl -I https://example.com
Researchers can examine redirects with:
curl -I -L https://example.com
Redirect chains are particularly relevant to malicious advertising because the visible destination may not be the final destination.
Review Domain Reputation
A security investigation should compare suspicious domains against established threat-intelligence sources.
The important question is not simply whether the website exists.
The question is whether its infrastructure has relationships with known malicious activity.
Search Browser Extension Rules
Users relying on content blockers can inspect filter lists and understand which rules are active.
For example, a filter list may contain network rules targeting known advertising or tracking endpoints.
This illustrates why filter maintenance becomes difficult when platforms continuously modify their infrastructure.
Monitor Unexpected Downloads
On Linux systems, users can review recently downloaded files with commands such as:
find ~/Downloads -type f -mtime -1 -ls
Unexpected executables, archives, scripts, or documents deserve additional scrutiny.
A suspicious advertisement should never be trusted merely because the download was initiated from a familiar platform.
Examine Processes
If a browser unexpectedly launches another process, security researchers can inspect running processes with:
ps aux --sort=-%cpu | head
Again, this is an investigative technique rather than proof that a particular process is malicious.
Check Active Connections
A more targeted investigation can combine process and network information:
lsof -i -P -n
This can help identify applications communicating over the network.
Use Layered Detection
No single command can detect every malicious advertising campaign.
No browser extension can block every scam.
No advertising moderation system can identify every fraudulent campaign.
The correct approach is layered detection.
Browser protection + content blocking + domain reputation + endpoint security + user awareness creates a substantially stronger defensive posture than relying on any single mechanism.
What Platforms Should Do Next
Verify Advertisers Before Scaling Their Reach
High-risk advertisers should face stronger identity and business verification before they can reach massive audiences.
Analyze the Entire Advertisement Journey
Platforms should inspect not just the advertisement, but also the destination, redirects, scripts, downloads, and later changes.
Detect Fraud Networks
Multiple accounts using common infrastructure should be analyzed together.
Monitor Ads After Approval
Passing an initial review should not create permanent immunity from further inspection.
Protect Users From Private-Messaging Transfers
Platforms should pay particular attention when suspicious advertisements push users into private conversations.
Improve Transparency
Users deserve meaningful explanations when suspicious advertisements are removed or reported.
Make Privacy Controls Easier
Users should have practical control over tracking, personalization, and advertising behavior.
What Users Can Do Today
Keep Browser Protection Enabled
Modern browser security features should remain active unless there is a specific reason to disable them.
Use Reputable Content Blocking Tools
Blocking intrusive advertising and known malicious resources can reduce exposure to several categories of online threats.
Avoid Clicking Urgent Offers
Messages claiming that money will disappear, accounts will be suspended, or prizes will expire immediately are classic social-engineering techniques.
Verify Financial Opportunities Independently
Never trust an investment opportunity simply because it appears in a sponsored post.
Do Not Download Unexpected Software
An advertisement should never be treated as proof that a download is safe.
Be Suspicious of Impersonation
A celebrity photograph, company logo, or government symbol does not prove authenticity.
Verify Through Official Channels
If an advertisement claims to represent a bank, government agency, technology company, or financial service, independently visit the organization’s official website rather than relying on the advertisement’s link.
The Future of Advertising Security
The internet is unlikely to move away from advertising anytime soon.
Advertising remains one of the most powerful mechanisms for funding free online services.
But the advertising ecosystem is changing.
Artificial intelligence can help platforms generate and analyze enormous numbers of advertisements.
Unfortunately, criminals can use similar technology to generate convincing fraudulent campaigns.
That means the volume and sophistication of malicious advertisements may continue increasing.
Automated moderation will become more important.
So will automated evasion.
This could create an even faster arms race between platforms and criminals.
The winning strategy will not simply be better advertisement detection.
It will be better infrastructure intelligence.
Platforms need to understand who is behind campaigns, where their infrastructure connects, how their domains evolve, and how quickly their behavior changes.
Why Ad Blockers Still Matter
The future of content blocking is likely to extend beyond traditional advertising.
Privacy protection, anti-tracking, phishing defense, malicious-domain blocking, and browser hardening are increasingly interconnected.
A tool that began as a way to remove banners can become part of a broader security architecture.
That does not mean every user needs an aggressive configuration.
It means users should have the freedom to choose appropriate protections.
The internet should not force people to accept unnecessary risk simply because advertising is part of the economic model.
Advertising Can Be Used for Scams and Malware: ✅
Malicious advertising, phishing advertisements, impersonation campaigns, and fraudulent promotions are established cybersecurity threats. Blocking dangerous advertising can therefore provide a genuine security benefit.
Platforms and Blockers Are Locked in an Ongoing Technical Battle: ✅
Advertising systems and content-blocking tools continuously adapt to one another. Platforms can change delivery methods, while filter maintainers update rules and detection techniques.
The Reported $16 Billion Figure Means Meta Definitely Earned $16 Billion From Illegal Ads: ❌
The figure described in the source is an internal projection that Reuters reported and that Meta disputed as rough and overly inclusive. It should not be presented as a confirmed accounting figure for revenue generated directly from illegal advertising.
Prediction
(+1) Advertising Security Will Become a Larger Part of Platform Security
As scams become more sophisticated and advertisements become increasingly integrated into ordinary social-media content, platforms will face growing pressure to treat advertising moderation as a cybersecurity function rather than simply a revenue-protection function.
(+1) Browser-Level Protection Will Become More Important
Users will increasingly rely on combinations of content blockers, anti-tracking tools, phishing protection, password managers, and endpoint security instead of depending entirely on platforms to keep malicious content away.
(+1) Fraud Detection Will Move Toward Network-Level Analysis
Platforms are likely to become more focused on identifying relationships between accounts, domains, payment systems, landing pages, and infrastructure rather than examining each advertisement as an isolated object.
(-1) The Ad-Blocking Arms Race Is Unlikely to Disappear
As long as advertising remains a major source of revenue, platforms will have incentives to improve advertising delivery, while users and privacy tools will continue trying to limit intrusive or dangerous content.
Final Thoughts: The Internet Needs Safer Advertising, Not Just More Advertising
The argument over ad blockers has existed for years, but the security dimension changes the conversation.
Users are not blocking advertisements solely because they dislike seeing them.
Some are trying to protect their privacy.
Some want faster websites.
Some want fewer tracking systems.
And some are trying to reduce their exposure to scams and malicious content.
That distinction matters.
Advertising is essential to much of the modern web, but advertising cannot be treated as automatically trustworthy simply because it appears inside a major platform.
A legitimate advertisement should not need to fear security controls.
A legitimate platform should not need to choose between revenue and user safety.
And a user should not have to become a cybersecurity professional simply to determine whether an advertisement promising easy money is real.
The better future is not one where ad blockers defeat platforms, nor one where platforms defeat every blocker.
The better future is an internet where advertising is safer, privacy is respected, malicious campaigns are identified before reaching millions of people, and users retain meaningful control over what their browsers allow onto their screens.
Because when an advertisement becomes the doorway to fraud, malware, phishing, or identity theft, blocking it is no longer just about removing an annoyance.
It is about closing the door before the attacker gets inside.
▶️ Related Video (74% Match):
🕵️📝Let’s dive deep and fact‑check.
🎓 Live Courses & Certifications:
Join Undercode Academy for Verified Certifications
🚀 Request a Custom Project:
Secure, high-velocity infrastructure and disruptive technological engineering. Contact our engineering team for high-tier development and proprietary systems:
[email protected]
💎 Smart Architecture | 🛡️ Secure by Design | ⭐ Trusted by Thousands
References:
Reported By: www.malwarebytes.com
Extra Source Hub (Possible Sources for article):
https://www.linkedin.com
Wikipedia
OpenAi & Undercode AI
Image Source:
Unsplash
Undercode AI DI v2
🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]
📢 Follow UndercodeNews & Stay Tuned:
𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky | 🐘Mastodon | 📺Youtube
