Password attacks target the most vulnerable entry point in your security: user credentials. Attackers use automated tools to steal and guess passwords, gaining unauthorized access to your business accounts, networks, and sensitive data.

According to the FBI’s 2024 Internet Crime Report, phishing and credential-based attacks led to over 193,000 complaints and contributed to record cybercrime losses. The result is financial loss, data breaches, and operational disruption.

Key takeaways

• Most password attacks succeed because people reuse passwords across multiple accounts, making credential stuffing attacks highly effective.
• Automated attacks can compromise weak passwords within seconds, while complex passwords with twelve or more characters take exponentially longer to crack.
• Multi-layered defense combining strong passwords, MFA, and bot detection provides the most effective protection against password attacks.

What are password attacks?

Password attacks are cyberattacks that attempt to gain unauthorized access to accounts or networks by breaking or guessing user passwords. Attackers use automated scripts, malicious software, or social engineering tactics to compromise credentials and infiltrate systems. Once attackers break into an account, they can steal confidential data, commit fraud, deploy ransomware, or use the compromised account as a launching point for broader attacks.

Why password attacks work

Password attacks succeed because of predictable human behavior and weak security practices. Users choose passwords that are easy to remember but also easy to guess. Common patterns include using “123456”, “password”, or personal information like birthdates and pet names. Password reuse worsens the problem. When one account gets breached, attackers test those same credentials across multiple platforms.

The tools attackers use have become more sophisticated too. Automated bots can test billions of password combinations in minutes. Stolen credential databases circulate freely on dark web forums: The Verizon 2024 Data Breach Investigations Report found that 2.8 billion passwords were posted for sale in criminal marketplaces⁽²⁾.

What password attacks cost your business

Direct financial losses

Password attacks lead to immediate financial damage through fraudulent transactions, stolen funds, and compromised payment information. The FBI’s 2024 Internet Crime Report documented $16.6 billion in total cybercrime losses, with credential-based attacks being a primary contributor⁽¹⁾.

Operational disruption

Responding to password attacks consumes significant resources. Security teams have to investigate suspicious activity, customer support has to handle compromised account complaints, and IT departments have to reset passwords and implement emergency security measures. These activities pull your teams away from strategic work.

Customer trust erosion

Data breaches that start with password attacks damage customer relationships. Users lose confidence when their accounts get compromised, leading to customer churn and negative publicity. Rebuilding trust requires extensive effort and resources that exceed the immediate breach costs.

Regulatory penalties

Organizations in regulated industries face legal consequences when password attacks lead to data breaches. GDPR, HIPAA, and other regulations impose significant fines for failing to protect user data. Regulatory scrutiny is likely to increase because of password attacks too, requiring additional compliance reporting and audits.

Reputational damage

Public disclosure of password attack incidents harms brand reputation. Media coverage of breaches influences potential customers’ decisions, and competitors may exploit your security failures in their marketing. Stock prices for public companies almost always drop following breach announcements.

Red flags that signal password attacks

Unusual login patterns: Watch for failed login attempts that spike suddenly. Multiple failed logins followed by a success often indicate credential stuffing. Geographic impossibilities, like an account logging in from New York and London within minutes, signal compromised credentials.

Sequential or automated behavior: Legitimate users make mistakes, correct themselves, and show natural variation in timing. Bots complete login forms with mechanical precision, identical timing between fields, and perfect accuracy. Monitor for suspiciously uniform behavior across multiple login attempts.

Suspicious traffic sources: Track where login attempts originate. Excessive traffic from data centers, cloud services, or known VPN providers often indicates automated attacks. Legitimate users typically connect from residential ISPs, not data center proxies.

Account lockout spikes: A sudden increase in account lockouts across your userbase suggests password spraying attacks. Attackers test common passwords against many accounts, triggering lockout thresholds. Watch for patterns where multiple accounts lock simultaneously.

Credential validation without follow-up activity: Some attackers validate credentials without using the accounts immediately. Users who log in successfully but perform no typical actions may be attackers confirming that their stolen credentials work before selling them or planning later attacks.

Types of password attacks

Brute force attack

A brute force attack systematically tries every possible password combination until it finds the correct one. Attackers use automated tools capable of testing billions of password combinations rapidly.

These attacks work best against weak passwords. A six-character password takes seconds to crack, while a 12-character password with complexity takes 62 trillion times longer. The attack continues running combinations until it succeeds or the account locks.

How to stop brute force attacks: Implement account lockout policies after several failed login attempts. Use password complexity requirements that mandate length, uppercase and lowercase letters, numbers, and special characters. Monitor for suspicious login patterns like rapid-fire attempts from the same IP address.

Dictionary attack

Dictionary attacks use lists of common words, phrases, and previously leaked passwords. Instead of trying every possible combination, attackers test passwords from curated dictionaries that include the most frequently used passwords.

These lists come from analyzing millions of leaked passwords from data breaches. Attackers know that people choose passwords based on dictionary words, making this method significantly faster than pure brute force. Common passwords like “password123” or “welcome” appear in every attacker’s dictionary.

How to stop dictionary attacks: Prohibit commonly used passwords during account creation. Use password strength meters that reject dictionary words and common patterns. Educate users about passphrases that combine random words with numbers and symbols.

Credential stuffing attack

Credential stuffing uses password pairs and usernames stolen from previous data breaches. Attackers take credentials leaked from one service and systematically test them across thousands of other websites and applications.

Credential stuffing attacks succeed because of password reuse. If your Netflix password was exposed in a breach and you have used the same password for your bank, attackers will try that combination on banking sites. Bots automate this process, testing millions of stolen credentials across multiple platforms simultaneously.

How to stop credential stuffing: Deploy bot detection solutions that identify automated login attempts. Monitor for impossible travel scenarios where accounts log in from different geographic locations within minutes. Implement device fingerprinting to detect suspicious patterns.

Password spraying attack

Password spraying reverses the brute force approach. Instead of trying many passwords against one account, attackers try a few common passwords against thousands of accounts. They test passwords like “Password123!” or “Winter2024!” across your entire userbase.

This method avoids account lockouts by making just one or two attempts per account. Attackers spread their attempts across many accounts over time, staying under detection thresholds. The technique is particularly effective against organizations with weak password policies.

How to stop password spraying: Monitor authentication logs for patterns showing the same password being tried across multiple accounts. Block commonly used passwords at the organizational level. Implement adaptive authentication that increases security challenges when suspicious patterns emerge.

Phishing attack

Phishing attacks trick users into voluntarily revealing their passwords. Attackers send fraudulent emails that appear to come from legitimate services, directing victims to fake login pages. Users enter their credentials on these spoofed sites, handing them directly to attackers.

Modern phishing has become sophisticated. Attackers clone legitimate websites perfectly, use convincing email templates, and create urgency through messages about account problems or security issues. Some campaigns target specific individuals with personalized information, making the fraud even more believable.

How to stop phishing attacks: Train users to verify sender addresses and hover over links before clicking. Implement email security filters that detect and block phishing attempts. Use passwordless authentication or FIDO2 security keys that prevent credentials from being entered on fake sites.

Keylogger attack

Keyloggers are malicious software that records every keystroke made on an infected device. When users type passwords, the keylogger captures them and sends the data to attackers. Users unknowingly install keyloggers by downloading infected files or clicking malicious links.

These attacks are particularly dangerous because they work in the background. Even strong, complex passwords get captured character by character. Keyloggers can remain undetected for months, continuously harvesting credentials and other sensitive information.

How to stop keylogger attacks: Keep antivirus and anti-malware software updated with the latest definitions. Train users to recognize suspicious downloads and email attachments. Use virtual keyboards for sensitive password entry, though this only protects against software keyloggers. Consider passwordless authentication methods that eliminate keyboard input entirely.

Man-in-the-middle attack

Man-in-the-middle (MITM) attacks intercept communications between users and legitimate services. Attackers position themselves in the data flow, capturing login credentials as they pass through. This commonly occurs on unsecured public Wi-Fi networks or through compromised network equipment.

When users connect to a service, attackers intercept the connection and relay information between both parties. To the user, everything appears normal: The login page looks correct and functions properly. Meanwhile, attackers capture credentials in real-time without either party knowing.

How to stop MITM attacks: Enforce HTTPS encryption across all services with properly configured SSL/TLS certificates. Prohibit sensitive operations on public Wi-Fi networks. Deploy certificate pinning to prevent fraudulent certificates. Use VPNs to encrypt network traffic on untrusted networks.

Rainbow table attack

Rainbow table attacks use precomputed tables containing hash values for millions of possible passwords. When systems store passwords, they convert them to hash values through one-way encryption. Attackers compare stolen hashes against their rainbow tables to find matches without needing to decrypt the original hash.

These attacks work quickly because the computation is already done. Attackers simply look up the hash value in their table to find the corresponding password. This method bypasses the time required for brute force calculations.

How to stop rainbow table attacks: Salt password hashes by adding random data before hashing. Each password gets a unique salt, making rainbow tables ineffective because attackers would need separate tables for every possible salt value. Use modern hashing algorithms like bcrypt, scrypt, or Argon2 that are specifically designed to resist these attacks.

Prevent password attacks with DataDome

DataDome Account Protect stops password attacks before attackers can test credentials against your systems. The solution uses machine learning to analyze hundreds of behavioral signals including device fingerprints, network characteristics, login patterns, and session history. The system detects and blocks automated attacks in real-time:

• Bot detection: Identifies automated tools attempting credential stuffing and brute force attacks
• Behavioral analysis: Distinguishes users from attackers based on natural interaction patterns
• Device intelligence: Recognizes suspicious devices and flags impossible scenarios
• Adaptive response: Challenges suspicious attempts while allowing users through without friction

Account Protect operates transparently for real users, who will experience no delays or additional verification steps, while automated password attacks get blocked at the login page. The solution deploys in minutes without requiring architectural changes.

Learn how DataDome Account Protect can defend your platform against password attacks and protect your users from account takeover.

References

1. FBI Internet Crime Complaint Center. 2024 Internet Crime Report. https://www.ic3.gov/AnnualReport/Reports/2024_IC3Report.pdf
2. Verizon. 2024 Data Breach Investigations Report. https://www.verizon.com/business/resources/reports/dbir./