Attackers Are Bypassing MFA
Credential stuffing runs 24/7 (AI-based bots testing at scale), session hijacking replays stolen cookies, and phishing attacks are getting more advanced. Even if you use MFA, user accounts can still be compromised.
Why Account Takeover Is Growing
Billions of username-password pairs are available on the dark web. Credential stuffing tools test them against login pages at scale, and most businesses have no visibility into these attacks at the browser level.
Attackers steal session tokens through phishing, malware, or man-in-the-browser attacks. Once they have a valid session, they skip login entirely and traditional auth checks see nothing wrong.
Most anti-fraud platforms trigger after a suspicious transaction. By then, the attacker already has access to the account, changed recovery details, and extracted value.
How cside detects account takeover
Fingerprint every session
cside collects 102+ device, network, and behavioral signals on every session to build a real-time risk profile without adding user friction.
- Capture device fingerprint, geolocation, VPN/proxies, browser configurations, and more.
- Detect bots, headless browsers, and AI agents that mimic human behavior to bypass traditional authentication.
- Establish a behavioral baseline for every visitor and flag deviations. New devices, impossible travel, or unusual session patterns.
Inform fraud decisions
Challenge, block, or flag suspicious activity to protect your users and cut down your fraud losses.
- Feed raw signals into your existing rules engine via API/webhook or use pre-built alert templates of high risk patterns.
- Combine with your account activity data (user behavior patterns) for high-accuracy decisions with fewer false positives.
- Enable risk-based authentication that only steps up when something looks wrong, allowing trusted users to sail through smoothly.
Raw signals for ATO prevention
Access signals through a developer friendly API or webhooks. Protect payment & login pages, forms, and platform integrity.
Designed for industries targeted by ATO
eCommerce Websites
Hijacked accounts drain stored payment methods and generate costly chargebacks.
FinTech Websites
Credential stuffing and session hijacking target banking logins for direct financial theft.
Travel Websites
Stolen accounts are used to book trips with saved cards, then cancelled for credit or resold.
Why cside outperforms traditional ATO defenses
cside adds browser-layer visibility that server-side tools lack.
| vs. IP-Based Rate Limiting | vs. MFA Alone | vs. Server-Side Fraud Tools |
|---|---|---|
| Detects distributed attacks across rotating IPs | Catches session hijacking related JavaScript injections | Captures client-side signals invisible to server logs |
| Identifies returning attackers even when IPs change | Adds a passive risk layer with zero user friction | Links sessions across devices and accounts |
| Distinguishes residential proxies from legitimate users | Social engineering bypasses MFA | Provides forensic evidence for incident investigation |
Get started with cside
Free plan includes 1,000 API calls per month with basic signals. Upgrade for full intelligence starting at $20/month.
Trusted by enterprise security & fraud teams:
“Evolving fraud tactics and shifts in consumer behavior are colliding for merchants. By joining forces with cside, we're delivering solutions that address real-world issues merchants struggle with daily, such as friendly fraud chargebacks.”
Monica Eaton, CEO of Chargebacks911.
Passive detection with zero login friction
cside collects device and browser signals passively during login. There are no challenges, pop-ups, or extra steps. Legitimate users experience zero friction, while attackers are flagged by the signals they cannot hide.
Real-time signals on every session
cside delivers device, network, and behavioral signals the moment a session starts. Your fraud stack gets risk data before login completes, so you can challenge or block suspicious attempts as they happen instead of investigating after the damage is done.
Getting started with ATO prevention
Add the cside script to your login and account pages. Fingerprinting starts working immediately, sessions are captured, and your dashboard populates with risk signals. From there, wire the signals into your auth flow to challenge or block suspicious logins.
FAQ
Frequently Asked Questions
cside fingerprints every visitor through 102+ device, network, and behavioral signals. This establishes a safe baseline. When a visitor logs in from an unrecognized device or shows suspicious patterns that deviate from the baseline, you can challenge or block them before unauthorized access turns into a costly fraud case.
Yes. Every signal we collect is available via API and real-time webhooks. You can pipe them into whatever system you're already using.
"Impossible travel" (e.g. two logins from different continents within minutes of each other), multiple failed attempts in a short window, VPN or proxy usage on a previously clean account, and mid-session device changes. Any one of these is worth a second look. Several together is a strong indicator of compromise.
Yes. cside has an API and webhook option that feeds raw signals into your own rules engine, SIEM, or fraud platform. We also offer pre-built rule templates if you want alerts out of the box.