20 May 2026/BY Aare Reintam

Bot Attacks on E-Commerce Web Forms: Threats, Real Breaches & How to Protect Your Store in 2026

Bots now generate 53% of all web traffic. Discover how bot attacks on e-commerce web forms cause real data breaches, millions in losses, and learn proven security strategies to protect your store in 2026.

12 min read
Automated bots account for 53% of all observed web traffic globally, and 40% of that is outright malicious. Those are the 2026 figures from the State of AI Traffic & Cyberthreat Benchmark Report by HUMAN Security. If you run an online store, the forms are the part of it that traffic cares about: login, registration, checkout, gift card lookup, the contact page.
Slowing your site down is the least of it. Bots register fake accounts, test stolen cards against your payment page, copy card numbers as customers type them, and fill your support queue with junk leads. Fraud losses follow, then regulatory exposure, then customers who do not come back.
We go through how each attack runs, the confirmed 2025 and 2026 breaches behind it, and the controls worth putting in front of a form.

The E-Commerce Landscape in 2026: A Massive Attack Surface

There are 28 million e-commerce websites in 2026, up 2.9% over the last year, which works out to roughly 2,160 new stores a day. Revenue across them is projected at $6.88 trillion, about 21.5% of all retail sales on the planet.
Online Stores
28M
e-commerce sites worldwide
Most of them sit on a handful of platforms: Shopify at approximately 29% of stores, WooCommerce at 20.1% (see our dedicated WordPress bot protection guide), Wix at 20%, then a long tail of custom builds. Mobile carries the bulk of the volume. Smartphones generate 78% of all e-commerce traffic, and mobile commerce alone will take $4.01 trillion in 2026, nearly 60% of total online retail, across 2.86 billion people shopping online.
A handful of platforms covering most of 28 million stores also means a handful of form layouts worth writing a bot against. Write the script once and it runs everywhere.

How Bots Have Taken Over Internet Traffic

Bots passed humans on the open web in 2024, for the first time in a decade. The Imperva 2025 Bad Bot Report put automated traffic at 51% that year. HUMAN Security's 2026 benchmark data has it at 53%. The AI-driven share is what moved: up 187% between January and December 2025, expanding roughly eight times faster than human traffic, which grew 3.1%.
Automated Traffic
53%
of all web traffic is now bots
Retail skews worse than the average. One major retailer reported 72% of its traffic over the 2024 Black Friday period as malicious bots. Radware's 2025 E-Commerce Bot Threat Report counted an average of 560,000 AI-driven bot attacks a day against retail sites over the holiday season: phishing bots, fake cart creation, loyalty-point abuse, DDoS attempts.
Three industries absorbed more than 95% of all AI-driven bot traffic in 2025: retail and e-commerce, streaming and media, travel and hospitality. Retail takes the largest share of the three.

How Bot Attacks Target E-Commerce Web Forms

Every web form on your store is an entry point, and the five vectors below want different things, which is why one control never covers them all.

1. Credential Stuffing via Login Forms

Attackers buy leaked username-and-password lists, known as combolists, from dark-web marketplaces and replay them against your login page at enormous scale. Akamai counted 26 billion credential stuffing attempts per month as recently as 2024, and the rate has only increased since. It is the most widespread bot attack on an e-commerce login form, and it needs no exploit at all, because the credentials are already valid somewhere.
Attack Growth
700%
surge in credential stuffing 2023–2024
A 0.1% success rate pays. A full attack package (credential lists, residential proxy network, 2FA bypass kit, and automation software) costs as little as $300 on criminal forums, so the break-even sits at 0.006% of tested accounts yielding a $50 gain. Nothing about that maths discourages anyone.

2. Fake Account Registration

Registration forms get hit for the accounts themselves. New-customer discounts, referral bonuses, limited-edition stock held back for resale, gift card systems used to move money: all of it needs an account and none of it needs a real customer. New account fraud resulted in $6.2 billion in losses globally in 2024, up from $5.3 billion in 2023.

3. Payment Form Skimming (Magecart)

Web skimming, also known as Magecart, is the hardest of these to catch. Attackers get malicious JavaScript onto the checkout page, often through a compromised third-party script library, and it copies payment card data out of the fields as the customer types. The copy goes to a server the attacker controls. Nothing on the page looks wrong while it happens.
In January 2026, Silent Push researchers exposed a Magecart skimming network that had been operating undetected since early 2022. It had harvested payment data from thousands of e-commerce checkout pages across six major card networks: American Express, Mastercard, Diners Club, Discover, JCB, and UnionPay. The scripts were heavily obfuscated and erased their own traces after execution.

4. Contact and Inquiry Form Spam

Contact forms, quote requests, and newsletter sign-ups get hammered with garbage. The damage here is operational rather than financial: sales chases fake leads, analytics data corrupts, and some of those submissions are phishing aimed at whoever opens the ticket.

5. Gift Card and Coupon Abuse

Gift card balance-check forms and coupon code fields get brute-forced. Cycle alphanumeric combinations fast enough and some of them land, and each hit drains real value out of a loyalty or promotional budget. The attacker spent nothing but requests.

Real-World Breaches: When Bot Attacks Hit E-Commerce

Every incident below is confirmed and publicly reported, from 2025 and 2026.
IncidentDateAttack TypeImpact
Magecart Multi-Network CampaignJan 2026Form skimming / JavaScript injectionThousands of e-commerce checkout pages; 6 major card networks compromised since 2022
Ledger / Global-eJan 5, 2026Supply chain / third-party e-commerce partner breachCustomer order data (names, addresses, purchase history) exposed via compromised partner
Coupang2025Unauthorized access / credential-based33.7 million customer accounts; names, emails, phone numbers, delivery addresses, purchase history
Ticketmaster2024Magecart / form skimmingBreach persisted ~4 months; customer payment data and PII harvested at scale
British AirwaysHistorical / ongoing typeMagecart / form skimming380,000 victims; card and personal data stolen via 22 lines of injected JavaScript
Stripe Spoofing (multiple)2026Fake payment form overlayLegitimate Stripe form replaced with malicious copy; customers unknowingly submit payment details to attackers
Sources: Silent Push (2026), Malwarebytes (Jan 2026), Imperva, HUMAN Security, Radware Bot Threat Report 2025.

The Business Impact: What Bot Attacks on E-Commerce Really Cost

IBM's 2024 Cost of a Data Breach Report puts a breach involving stolen credentials at $4.81 million on average. Account takeover (ATO) fraud losses are projected to reach $17 billion in 2025, up from $13 billion the prior year. New account fraud on its own caused $6.2 billion in losses in 2024.
ATO Fraud
$17B
projected ATO fraud losses in 2025
The rest of the cost lands outside the fraud line:
  • Infrastructure and bandwidth costs: Bot traffic shows up on your cloud and CDN bills. A single coordinated attack can triple server load without generating a single legitimate sale.
  • Customer support overload: Peak credential-stuffing events can triple help-desk call volumes with account lockouts, forced password resets, and fraud complaints.
  • Regulatory and compliance exposure: A breach involving customer payment data triggers GDPR, PCI DSS, and national data protection obligations at once, with substantial fines and mandatory audits behind them. EU operators should review the GDPR-native CAPTCHA requirements before picking any anti-bot stack.
  • Reputational damage: Stores that take a significant fraud incident frequently see decreased customer confidence, higher cart abandonment, and measurable drops in repeat purchase rates. Some publicly traded retailers have seen stock price impacts after major breaches.
  • Analytics contamination: Bot submissions distort your marketing attribution, conversion rate data, and customer segmentation. You end up spending against traffic that was never going to buy.

Trends Shaping the Bot Threat Landscape in 2026

Bot operators ship improvements in response to whatever defence they run into, so the mix shifts year to year. Six things define the 2026 picture for e-commerce.
  • AI-powered bots: Modern bots use machine learning to mimic human browsing patterns, including realistic mouse movements, dwell times, and form-filling cadences. Signature-based detection is losing ground against it.
  • Residential proxy networks: Attackers route bot traffic through networks of compromised home devices and rented residential IPs. IP-blacklist defences have nothing to work with, because the requests originate from legitimate consumer addresses around the world.
  • 2FA bypass kits: Commercially available kits intercept one-time passwords (OTPs) in real time using reverse-proxy phishing pages, which undermines SMS-based two-factor authentication entirely.
  • Supply chain attacks: Rather than attacking your store directly, adversaries compromise the third-party JavaScript libraries (analytics, chat widgets, payment SDKs) that your store loads. The Ledger/Global-e breach and the ongoing Magecart campaigns both exploit this vector.
  • Mobile-first bot attacks: With 78% of e-commerce traffic coming from mobile devices, bot operators are building mobile-emulating frameworks that bypass desktop-oriented defences.
  • API abuse: Bot-driven attacks now make up more than 60% of malicious API traffic. Headless commerce has gone mainstream, and an unprotected API is a softer target for credential stuffing and inventory scraping than the form it replaced.

How to Protect Your E-Commerce Store from Bot Attacks on Web Forms

No single tool stops every attack vector, so the eight controls below are a set rather than a menu. Running them together is what reduces your exposure.

1. Deploy a Web Application Firewall (WAF) with Bot Management

A WAF sits between the public internet and your web application and filters HTTP traffic as it arrives. Cloudflare, Akamai, and AWS WAF all ship dedicated bot management modules on top of that: scraping pattern recognition, known malicious IP ranges, rule sets that update as campaigns change. Configure yours to block or challenge suspicious user agents, request rates no human produces, and traffic from known bot hosting ranges.

2. Implement Advanced CAPTCHA at Form Touchpoints

Modern AI bots solve a text-based CAPTCHA in milliseconds. Deploy an invisible behavioural check instead, reCAPTCHA v3 or hCaptcha, which scores each visitor on browser fingerprinting, mouse movement, and interaction patterns, and only shows a visible challenge once the risk score crosses your threshold. Cover login forms, account registration, checkout, and any form with a reward-redemption component.

3. Apply Granular Rate Limiting

Rate limiting caps what a single client can send to a specific endpoint within a time window. Strict limits belong on login attempts (five failed attempts before a temporary lockout, for example), account registration, OTP verification, gift card balance checks, and coupon redemptions. Key the limit on device fingerprint and user account as well as IP address, or proxy rotation walks straight through it.

4. Enforce Multi-Factor Authentication (MFA)

Credential stuffing attacks are only profitable if the stolen credentials successfully log in. Mandatory MFA on all customer accounts (even if only a strong push-notification or TOTP app, rather than SMS-based OTP) dramatically reduces the success rate of stuffing campaigns. Prefer an authenticator app or a hardware key where you can, since SMS OTPs are bypassed by kits anyone can buy.

5. Implement a Content Security Policy (CSP)

A properly configured Content Security Policy header tells the browser which scripts are authorised to execute on your pages, and it is your primary defence against Magecart-style injection. Written strictly, it refuses the outbound request a skimmer needs. Your checkout page can be compromised through a third-party library and the harvested form data still has nowhere to go. Pin the script sources you allow, and audit the third-party JavaScript list on a schedule.

6. Monitor and Control Third-Party Scripts

The majority of Magecart attacks enter through a compromised third-party script that the store loads from an external CDN. Inventory every JavaScript resource your store pulls in. Put Subresource Integrity (SRI) attributes on the script tags so a tampered file fails to load, and run monitoring that tells you when a third-party resource changes with no release behind it.

7. Deploy Behavioural Bot Detection

Rules and signatures only catch what has been seen before. Behavioural detection platforms (such as DataDome, Kasada, Radware Bot Manager, or HUMAN Security) score the whole session instead: device characteristics, interaction timing, mouse trajectories, and network telemetry, measured against known human baseline models. That is the layer that catches the bots which already beat your CAPTCHA and your rate limits, and shared threat intelligence keeps it current.

8. Conduct Regular Security Audits and Penetration Testing

Configuration drifts, and attackers move faster than your rule set does. Review your WAF rule sets, CAPTCHA configuration, and rate-limiting thresholds quarterly. Pen test the authentication flows and payment forms annually, and have whoever runs it simulate credential stuffing and Magecart injection against a staging environment. Write the incident response plan for form-abuse events before you need it.

Quick Reference: Bot Attack Types vs. Recommended Controls

Attack TypeTarget FormPrimary Control
Credential stuffingLoginRate limiting + MFA + Bot detection
Fake account creationRegistrationTrustSig bot protection + behavioural analysis
Card skimming (Magecart)Checkout / paymentCSP + third-party script monitoring
OTP brute-force2FA / verificationRate limiting + lockout + TOTP MFA
Gift card / coupon abuseRedemption formsRate limiting + TrustSig bot protection
Contact form spamInquiry / contactTrustSig bot protection + honeypot fields
Inventory hoardingAdd-to-cart / checkoutWAF + purchase rate limiting
API credential stuffingAuthentication APIsAPI gateway + WAF + bot management

Conclusion: Bot Attacks on E-Commerce Web Forms Are Now the Norm

None of this is an edge case reserved for the largest retailers. With 28 million online stores worldwide and automated traffic now exceeding human traffic, a single-product Shopify store gets scanned by the same tooling as an enterprise commerce platform. The breach examples are public and the numbers behind them are not small.
The defence playbook, at least, is well-established. A layered combination of WAF with bot management, advanced CAPTCHA (www.trustsig.eu), granular rate limiting, MFA, and a strict Content Security Policy will stop the overwhelming majority of automated attacks, and behavioural bot detection closes the gap left by AI-powered evasion techniques.
Do it before an incident rather than after one. The whole stack costs a fraction of the average $4.81 million breach price tag, and that figure does not count the operational disruption or the reputational damage that follows a public incident.
Is your e-commerce store protected?
TrustSig detects and neutralises bot attacks on your forms before they cost you anything, and our specialists work with e-commerce teams across Europe on real-time form protection and full security audits.
→ www.trustsig.eu

Sources & Further Reading