Guide
Credential stuffing is one of the most widespread, damaging, and misunderstood forms of fraud today. It’s simple to launch, hard to detect, and can compromise thousands of digital accounts in minutes. The fight against credential stuffing can be onerous, if fraud fighters continue to rely on static signals.
What is Credential Stuffing
In credential stuffing attacks, fraudsters use stolen usernames and passwords, harvested from past data breaches or bought off the dark web, to attempt logins across websites and mobile apps. These attacks exploit weak passwords and credentials - estimated to be more than 24 billion on the dark web - that users recycle across multiple digital accounts.
Tools like bots, proxy networks, and outsourced crime-as-a-service make it easy to attempt thousands of login attempts across websites or apps in a matter of a few minutes. Successful credential stuffing attacks power account takeovers, often resulting in stolen funds, identity theft, synthetic identity creation, phishing campaigns, money laundering, and a host of other criminal activities.
Why Credential Stuffing Attacks are Rising
Credential stuffing attacks continue to rise with more than 3.2 billion credentials compromised in 2024 alone. There are several factors contributing to this increase:
Growing reliance on digital services that require users to create accounts across multiple channels and platforms are expanding the attack surface and potential targets.
Weak passwords are easy to crack and credentials recycled across digital accounts on multiple platforms make them vulnerable to compromise.
Frequent and massive data breaches continue to expose billions of username-password combinations.
Use of infostealers (information-stealing malware) to harvest credentials, which contributed 75% of the stolen credentials and infected over 23 million devices in 2024.
Access to automated tools, sophisticated toolkits, and outsourced fraud services lower the barriers to entry, enabling even novice fraudsters, with little-to-no technical expertise, to launch credential stuffing attacks at scale.
The scale of attacks and several methods of monetization - selling valid username-password lists to third parties, refining these lists to create targeted databases to fetch more returns, or using the stolen credentials themselves for account takeover attacks - ensures fraudsters can realize good ROI, even with a small success rate.
A thriving dark web ecosystem supports fraudsters through stolen credentials, tools, proxy services, shared expertise, and support groups.
Lack of reliable solutions to identify suspicious login attempts, automated attacks, and AI-driven fraud such as deepfakes. Traditional defense mechanisms cannot tell credential stuffing attempts from normal user activity, leaving businesses exposed to evolving threats and attack tactics.
How Credential Stuffing Works
Fraudsters use tools such as bots, scripts, and AI agents to collect valid credential combinations at scale and then monetize the exploits. The steps involved include:
Credential Harvesting: Collect large dumps - containing millions - of usernames and passwords using infostealers, phishing campaigns, data breaches, or the dark web.
Testing/Validation: Use automation tools to test the credentials against various login pages on websites and apps to arrive at valid username-password combinations. While these tools can test thousands of credential-combos per minute, they can also evade detection by mimicking nuanced human behavior, using proxy networks, botnets, emulated browsers, or switching IP addresses.
Log in: Use matched username-passwords to log in to user accounts. Successful logins power account takeover attacks. Compromised accounts provide the launchpad for account abuse, criminal activities like money laundering, and the ability to pivot into corporate networks for wide scale breaches.
Monetization: Profit by selling unverified credential dumps as is (in step 1 above) to refining validated credentials into targeted databases (step 2) to fetch a higher price, or exploiting the compromised account (step 3) by stealing funds, locking out account holders, money laundering, and other criminal activities.
How to Detect Credential Stuffing Attempts
Monitoring early-stage indicators that deviate from standard patterns could help detect and stop credential stuffing attacks in the nascent stages. Look out for:
A sudden spike in failed login attempts within a short duration.
Login attempts from high-risk IP addresses, anonymizers, similar devices, or unusual geographical locations.
Several login attempts for the same account with different passwords.
Atypical account login behaviors such as aberrant login patterns, lack of mouse movement or keyboard activity, device and browser inconsistencies.
Unusual increase in login attempts at off-peak or odd hours.
High rates of password change requests.
Unexplained surge in account lockouts.
Devious post login behavior, such as changes to account setting, redeeming loyalty points, executing high-value transactions, etc
Strategies to Prevent to a Credential Stuffing Attack
Proactive defense measures to prevent credential stuffing attacks, must include:
Rate limiting and IP throttling: Controls the number of login attempts allowed per IP address or account, helping reduce the speed and scale of an automated attack.
Multi-factor Authentication: Adds an extra layer of verification, rendering use of stolen passwords alone useless for fraudsters.
Device Intelligence: Identifies spoofed or emulated devices that attempt logging into multiple accounts by detecting IP rotation, cookie clearance, or use of botnets.
Behavioral Analytics: Detects anomalous behavior patterns that deviate from standard user behavior, helping detect sophisticated attack tactics that may go undetected by basic controls.
Bot Protection: Detects and blocks automated tools like bots, scripts, headless browsers, and AI agents, preventing credential stuffing attacks from scaling up.
Web Application Firewalls: Identify and block abnormal login behaviors, such as high volumes of login attempts or repeated login attempts from a risky geolocation
Why Work with Bureau to Stop Credential Stuffing
Automation is lending credential stuffing attacks a new level of sophistication that requires advanced, multi-layered detection for long-term protection.
Bureau detects and stops credential stuffing attacks in real-time using its following core capabilities:
Device Intelligence: Catches tampered, rooted, and emulated environments, even when attackers rotate browsers or use spoofing tools. Bots hiding behind seemingly clean devices are spotted using deep hardware and runtime signals.
Behavioral Biometrics: Analyzes typing cadence, scroll behavior, and mouse dynamics to separate real users from automation. Bots can fake browser details but they can’t fake nuanced human movement.
Graph Identity Network: Maps every interaction to reveal hidden relationships between accounts, devices, sessions, and infrastructure, powering the fight against fraud syndicates.
Adaptive Risk Scoring: Segregates good users from fraudsters by evaluating 160+ risk signals, including behavioral anomalies, device familiarity, velocity abuse, and network manipulation.
Orchestration with Flexibility: Offers the flexibility and control to step up authentication, enforce CAPTCHA, flag for further review or block logins, without the need to write any code.
Key Takeaways
Credential stuffing is easy, scalable, and profitable.
Continuous leakage of credentials and access to automation tools is feeding the growth of credential stuffing attacks.
Fraudsters execute credential stuffing attacks using advanced bots that can mimic human behaviors, spoofed devices, and rotating IPs.
Unusual login patterns, frequent password change requests, sudden surge in account lockouts, indicate credential stuffing attempts.
Strategies like multifactor authentication, device intelligence, behavioral biometrics, bot detection can help prevent credential stuffing attacks
Frequently asked Questions
