Home / Use case/

Account Takeover Prevention

How to stop account takeover:
protect every login

Credential stuffing bots test millions of leaked passwords against login pages like yours. ADPAL blocks them at the edge — before a single password is tried.

.SCALE OF THE PROBLEM

A numbers problem, not a
hacker problem

You don’t need to be “targeted” to be hit. You just need a login page

15+ billion stolen credentials are circulating from past breaches — none of them your fault, all of them potentially tested against your site today

Roughly two-thirds of people reuse passwords across sites. One breach elsewhere unlocks accounts everywhere

Account takeover fraud costs businesses billions of dollars annually, and losses keep climbing year over year

Small businesses are hit hardest: no security team, and attackers know it. The attacker isn’t picking you. A bot is picking everyone — and staying wherever the door opens

.SNIPPET DEFINITION

Account takeover prevention: protect
every customer account

Account takeover (ATO) is an attack where a criminal gains control of a legitimate user’s account — usually with stolen or guessed passwords — and uses it to steal funds, loyalty points or personal data. Most takeovers are performed by bots, which test thousands of accounts per hour. It rarely happens by hand. Automation does the breaking in. ADPAL stops that automation before it reaches your login page — whatever the entry method.

.WHAT IT LOOKS LIKE

How it plays out in a small store.

A real-world pattern we see constantly

A real-world pattern we see constantly:

An online shop with 12,000 customer accounts notices nothing unusual — until Monday. Over the
weekend, bots quietly tested 40,000 leaked email-password pairs against the login page. 63 matched.

By Monday morning: loyalty points drained from 20 accounts, four fraudulent orders shipped to freight-
forwarding addresses, and a support inbox full of angry customers. Total direct loss: about €3,800. The
bigger loss: five one-star reviews saying “this shop leaked my data” — even though the passwords were
stolen somewhere else entirely.

That’s the cruel part of ATO. The breach wasn’t yours. The blame is.

.Symptoms

Signs your accounts are being targeted

You don’t need log files to spot ATO. The business signals come first:

See the full checklist

Spikes in failed logins — often at night or in short bursts

Waves of password-reset requests your customers didn’t ask for

“I’ve been hacked” complaints landing in support

Logins from unusual countries or devices on long-standing accounts

Rising chargebacks and disputed transactions

Emails or passwords changed inside accounts without the owner’s knowledge

Loyalty points or store credit vanishing from dormant accounts.

If you recognize 2 or more — it’s
worth checking.

Scan your site

Control of AI crawlers

What it costs you

On top of every individual loss, millions of login attempts load your servers
before a single account is even compromised.

Chargeback & support ticket

Every hijacked account opens a dispute and a ticket your team has to work

A lost customer

Trust rarely survives a hijacked account — most affected users churn

Reputation risk

For stores: stolen loyalty points and saved cards turn into public complaints

Server load

Millions of login attempts strain infrastructure before one account is even compromised

.HOW ACCOUNTS GET TAKEN OVER

How accounts get taken over

Attackers use several routes into the same door:

Credential stuffing

— leaked username-password pairs from other sites’ breaches, tested against your login. Works because people reuse passwords

Brute force

— rapid-fire password guessing, often against a list of known usernames

MFA fatigue & session abuse

— bombarding users with approval prompts until one gets tapped, or hijacking an active session

Inventory Hoarding

— passwords harvested by fake emails, then replayed by bots at scale

Most of these share one thing: they’re automated. Stop the automation, and you stop the
attack at scale — regardless of which route the attacker chose

.sHow ADPAL stops it

How ADPAL prevents account takeover

ADPAL doesn’t wait to see which method the attacker picked. It removes the delivery mechanism — the bot itself
Every request to your login is analysed by behaviour and fingerprint (the unique technical “signature” a browser leaves), not by IP address. That matters: modern attacks arrive through residential proxies, so IP-based defences are blind. ADPAL spots automation in how a request behaves — and blocks it in under 50 milliseconds, before the login form is ever reached
Your MFA and monitoring stay in place as a second line. ADPAL takes the daily assault off their shoulders

See the mechanism on Bot Protection

Detection that updates itself — no rules to write, no lists to maintain

Privacy-first — cookieless, EU data residency, no visitor data stored

Live in hours — plugin, cloud or self-hosted

.DIY vs PERIMETER

What you can do yourself
and where it stops

Measure

Helps?

The catch

Strong password policy

Partly

Can’t stop valid stolen passwords from working

MFA (two-step login)

Yes — keep it

Prompt-bombing and session abuse get around it; friction loses some customers

Login rate limiting

Partly

Attacks now spread across thousands of IPs, staying under every limit

IP blocklists Barely

Barely

Bots rent residential proxies — the same home IPs your customers use

CAPTCHA on login

Barely

AI solves CAPTCHAs at 95%+ accuracy; real customers abandon carts

Perimeter bot filtering

Yes

Blocks the automation itself — before any password is tried

Actionable first step (today, free): turn on MFA for admin accounts and check your login logs for failed-attempt spikes. Then measure the real bot load with a (ссылка) free site scan

Use cases

ADPAL Bot Protection

One product covers the full request path for account takeover, and everything else
on this site — no separate module to buy for logins specifically

See the mechanism on Bot Protection

Invisible detection

For stores: stolen loyalty points and saved cards turn into public complaints

Web Privacy

Cookieless, EU-resident detection with no impact on real customer logins

Setup

Live in hours via plugin, cloud DNS, or self-hosted module

.Proof

Seen on real login pages

94%

of credential-stuffing attempts detected before first login try

0

CAPTCHAs shown to real customers

Failed logins dropped within the first week — support tickets about locked accounts basically stopped

Head of Support, subscription retailer

.Learn more

Go deeper on login security

Guide

How accounts are stolen — and how to prevent ATO

Guide

How accounts are stolen — and how to prevent ATO

Guide

How accounts are stolen — and how to prevent ATO

FAQ

Frequently asked questions

What is account takeover in simple terms?

It’s when someone else logs into your customer’s account and acts as them — spending stored credit, placing orders, stealing personal data. The password usually wasn’t guessed; it was stolen in a breach on another website and reused.

How do accounts get taken over if we’ve never been hacked?

No. Detection is behavioural and invisible. Real users see nothing — no puzzles, no extra steps. Search engines and legitimate tools are allowlisted automatically, so SEO is unaffected.

We already use MFA. Isn’t that enough?

MFA is a strong second lock — keep it. But bots pressure it daily with prompt-bombing and session tricks, and every attack wave still hammers your login infrastructure. ADPAL removes the assault before MFA is even tested.

Will blocking bots lock out real customers?

No. Detection is behavioural and invisible. Real users see nothing — no puzzles, no extra steps. Search engines and legitimate tools are allowlisted automatically, so SEO is unaffected.

How fast can protection go live?

Minutes with the WordPress plugin; under an hour in the cloud. No code changes to your login

Lock bots out. Let customers in

Most owners discover ATO after the first chargeback wave. Check
your exposure now — free, two minutes, no signup

No credit card

GDPR-ready