Valid credentials.
Invalid owner.

Account Takeover fraud (ATO) doesn’t break in. It walks through the front door with valid login credentials, whether from a new device or the customer’s own under remote control. Either way, the person behind the payment isn’t the account holder. Vyntra reads the session and the behaviour behind each payment, separating legitimate from hijacked in milliseconds, before funds leave.

Book a demo
See the three attack vectors →
Account
Hijacked
Credential Theft
Phishing, darknet data, social engineering
Remote Access Trojans
Invisible device control at payment time
Bot & Credential Stuffing
Automated drain attacks at scale

reported lost to bank account takeover in the US in 2025

$ 0 M
Source: FBI IC3 – 2025 Internet Crime Report

UK account takeover cases in 2025, 18% of all recorded fraud cases

0 +
Source: Cifas Fraudscape, 2026

of data breaches involved stolen credentials, the raw material for ATO

0 %
Source: Verizon DBIR, 2026

The attack surface

The credentials check out.
The customer isn't there.

Once credentials are stolen through phishing, brute force attacks, darknet purchases, or data breaches, every control that relies on them becomes a liability. Password checks pass. Multi-factor authentication (MFA) can be bypassed. The tell is never the login. When the attacker logs in from their own device, the session is plainly foreign: a new device, a new IP, unfamiliar device fingerprinting arriving with a high-value transfer. When they drive the customer’s own device by remote control, the session looks entirely clean, and only behavioral divergence gives them away: an out-of-character beneficiary, an unusual amount, a payment that breaks the customer’s pattern.

Phishing & credential theft

Attackers obtain valid credentials through phishing pages, man-in-the-middle attacks, social engineering, or dark web purchases. They then log in from a new device or IP address and immediately initiate a high-value transfer to a previously unseen beneficiary IBAN, before the bank notices anything unusual.

How Vyntra detects it

  • Digital session profiling flags payments initiated from unrecognized devices, unusual IP geolocation including VPN or proxy use, or unexpected browser and OS configurations
  • New device + new beneficiary IBAN + unusual amount in the same session is a high-confidence ATO indicator flagged through real-time anomaly detection
  • The transactional footprint flags account-draining attempts and other fraudulent transactions, where rapid successive transfers leave the account within a compressed time window

Remote Access Trojan (RAT) attacks

The most sophisticated takeover method: malware, keyloggers, or screen-sharing tools let an attacker operate the customer’s own device invisibly, a form of session hijacking. The session fingerprint is identical to the customer’s. The IP is familiar. Only behavioral divergence and session-state signals break the disguise.

How Vyntra detects it

  • Device-intelligence signals surface remote-access and screen-sharing activity, flagging sessions driven by someone other than the account holder
  • Active phone call detection flags sessions where the customer is simultaneously on a call, a consistent social engineering co-indicator
  • Behavioral deviation, powered by behavioral analytics and biometrics, scores the payment against the customer's historical profile, even when session data appears legitimate

Bot & credential stuffing attacks

Credential stuffing bots test thousands of stolen login combinations at speed. Successfully compromised accounts are then drained automatically, often through a series of small instant payments designed to stay below alert thresholds while maximizing total extraction.

How Vyntra detects it

  • Velocity and cumulative-exposure checks, powered by AI and machine learning, detect surge patterns of small instant payments leaving a single account within a short window
  • Automated provisional holds stop further instant payments leaving flagged accounts in real time, pending analyst review
  • Device and IP risk lists update in real time as attack infrastructure is confirmed, protecting every other account immediately

GET IN TOUCH

The credentials were valid.
The takeover can still be stopped.

See how Vyntra detects credential abuse from phishing, invisible RAT attacks, and automated bot drains, before a single payment leaves the account.
Book a demo
Talk to an expert

FAQs​

What is the difference between identity theft and account takeover fraud?
Identity theft involves a criminal stealing someone’s personal information and using it to impersonate them, often to open a new account or apply for credit. Account takeover (ATO) fraud targets an account that already exists. The attacker obtains valid login credentials and uses them to gain unauthorized access, change account details or initiate fraudulent transactions. The two can overlap. Personally identifiable information obtained through identity theft may help attackers answer security questions, reset credentials or take control of an existing account.
No. Multi-factor authentication, two-factor authentication and risk-based authentication help determine whether someone should be allowed to access an account. Account takeover detection provides another layer of protection after authentication has succeeded. This matters because compromised credentials, intercepted one-time passcodes and social engineering can allow an attacker to pass the initial checks. It’s crucial to analyze the session, device and payment behavior to identify signs that the authenticated user may not be the genuine account holder.
Behavioral analytics compare activity during the current session with the customer’s usual patterns. This can reveal unusual payment amounts, unfamiliar beneficiaries, rapid account-draining activity or other deviations that may indicate account takeover fraud. Behavioral analytics, combined with anomaly detection, behavioral biometrics and device intelligence, help identify suspicious activity even when an attacker is controlling the customer’s usual device and conventional device fingerprinting does not immediately reveal the takeover.
Identity verification helps confirm a customer’s identity during onboarding, account recovery or login. However, it cannot guarantee that every later session or payment is being controlled by the genuine customer. Account takeover protection therefore needs to continue beyond the initial identity check. Make sure to assess digital identity, session and transaction signals throughout the payment journey, to detect suspicious behavior before funds leave the account.
Account takeover detection can identify suspicious activity associated with both attacks, although the methods differ. Credential stuffing uses automated bots to test login credentials obtained through data breaches, phishing or dark web marketplaces. Vyntra can identify resulting risk through unusual device and IP signals, repeated payment activity, new beneficiaries and rapid transaction patterns. SIM swapping allows an attacker to take control of a customer’s phone number and potentially intercept authentication codes. Even when this helps the attacker pass multi-factor authentication, subsequent changes in session or payment behavior may still expose the takeover. Vyntra analyses those signals in real time rather than relying on authentication alone.