Multiple Login Failures — Pattern Analysis

AuthenticationAttacks Multi-Platform Authentication Attack

What This Means

Analyze patterns of multiple login failures to distinguish between user mistakes, system misconfigurations, and active security attacks across any authentication system.

Example Log

-- Pattern showing multiple failures across platforms:
[Windows] Event 4625: jsmith failed from 10.0.5.142 (3 times in 2 minutes)
[VPN]     Auth failed: jsmith from 73.162.44.12 (wrong password)
[Web App] POST /login 401 for jsmith from 73.162.44.12
[SSH]     Failed password for jsmith from 10.0.5.142

Indicators of Suspicious Activity

How to Investigate

  1. Establish the timeline — when did failures start and are they ongoing
  2. Determine scope — how many accounts, systems, and protocols are affected
  3. Classify the pattern — single account/many systems vs many accounts/single system
  4. Check for recent IT changes (password policy, certificate renewal, service restart)
  5. Contact the affected user(s) to verify if they are experiencing issues
  6. Correlate with any active security incidents or threat intelligence alerts

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Related Log Types

Related Attack Patterns

Frequently Asked Questions

How many login failures should trigger an alert?
It depends on your environment, but common thresholds are: 5+ failures in 10 minutes for a single account, 10+ different accounts failing from one IP in 5 minutes, or any failure for high-privilege accounts.
How do I distinguish attacks from user mistakes?
User mistakes are typically 1-3 attempts with correct username, from their usual IP, during business hours. Attacks show higher volume, unusual IPs, off-hours timing, and often target multiple accounts.
Should I lock accounts after multiple failures?
Account lockout protects against brute force but can cause denial-of-service if attackers intentionally lock out accounts. Consider smart lockout (lock by IP, not account) and progressive delays as alternatives.