
Insider Threat Indicators: How to Detect Internal Risks
Insider Threat Threat Intelligence Data Breach Prevention Security Operations
What Are Insider Threat Indicators? Security teams spend billions on perimeter defenses. Firewalls. EDR. Network …

Account takeover attacks cost organizations millions every year. All it takes is one leaked password.
• Credential-based breaches cost $4.67M on average and take 246 days to detect, giving attackers months of undetected access.
• Infostealers are now the primary source of exploitable credentials, capturing passwords and session tokens that bypass MFA.
• Detecting compromised credentials on the dark web before attackers use them is the most effective prevention, turning potential breaches into routine password resets.
• Speed matters in response. The faster you detect and reset compromised passwords, the smaller the window attackers have to exploit them.
Here’s the problem: most security teams don’t know their credentials are compromised until after attackers have used them.
The average credential-based breach takes 246 days to identify and contain. That’s over 8 months of attackers having access to your systems.
But account takeover prevention doesn’t have to be reactive. You can detect compromised credentials before attackers exploit them.
In this guide, you’ll learn how ATO attacks work, what warning signs to watch for, and how to stop them before they cause damage.
Your organization’s credentials are already on the dark web. The question is whether you find them before attackers do.
Account takeover prevention is the combination of security controls, monitoring practices, and detection capabilities that stop attackers from gaining unauthorized access to user accounts. Effective prevention focuses on detecting compromised credentials before attackers exploit them, monitoring for suspicious behavior, and responding fast when something looks wrong.
Account takeover (ATO) attacks happen when attackers use stolen credentials to access accounts that don’t belong to them. Once inside, they can steal data, commit fraud, deploy ransomware, or pivot to other systems.
The traditional approach to ATO prevention focuses on making authentication harder. Stronger passwords. Multi-factor authentication. Rate limiting. These controls help, but they’re reactive. They don’t stop attackers who already have valid credentials.
The most effective prevention strategy is proactive: detect compromised credentials before attackers can use them. This means monitoring dark web marketplaces and infostealer channels where stolen credentials first appear. When you find your credentials there, you reset them before exploitation occurs.
ATO attacks are expensive. According to IBM’s 2025 Cost of a Data Breach Report, breaches involving stolen or compromised credentials cost organizations $4.67 million on average.
What makes credential-based attacks particularly damaging is how long they go undetected. IBM’s research shows it takes an average of 186 days to identify a credential breach and another 60 days to contain it. That’s 246 days of attackers operating inside your systems.
The numbers keep climbing. M-Trends 2025 found that stolen credentials now account for 16% of initial infection vectors, up from 10% in 2023. Attackers are using credentials more because they work.
Here’s what happens after an ATO attack succeeds:
Financial fraud. Attackers drain bank accounts, make fraudulent purchases, and redirect payments.
Business email compromise. A compromised email account lets attackers impersonate executives, redirect wire transfers, and steal sensitive communications. FBI data shows BEC fraud has caused over $50 billion in losses globally.
Ransomware deployment. Many ransomware attacks begin with stolen VPN or RDP credentials. Attackers buy valid credentials, gain initial access, then move laterally before deploying ransomware across the network.
Data theft. Compromised accounts provide access to customer data, intellectual property, and confidential business information. 53% of breaches target customer personally identifiable information.
Lateral movement. One compromised account leads to others. Attackers use their initial foothold to harvest more credentials, access shared resources, and expand their control throughout the network.
Understanding where attackers get credentials helps you defend against them. The sources matter because they determine how fresh and exploitable the credentials are.
Infostealer malware is a category of malicious software designed to harvest credentials, session tokens, and sensitive data from infected devices. Infostealers capture saved passwords from browsers, intercept credentials as users type them, and steal active session tokens that bypass multi-factor authentication. Popular variants include RedLine, Raccoon, and Vidar. They spread through phishing emails, fake software downloads, and compromised websites.
Infostealers are the primary source of exploitable credentials today. Unlike most third-party breaches, infostealer logs contain fresh credentials that attackers can use immediately.
When someone downloads a fake software crack or clicks a malicious link, their device gets infected. The infostealer immediately harvests every saved password in their browser, active session cookies, and autofill data. This data uploads to attacker servers within minutes.
What makes infostealers particularly dangerous is the session tokens they capture. These tokens let attackers hijack authenticated sessions without needing the password or MFA code. They simply import the stolen cookie and continue where the victim left off.
When companies get breached, their user credentials leak. These credentials end up in combo lists that contain millions of username-password pairs from multiple breaches combined.
The danger multiplies with password reuse. A single breach can expose credentials that work across dozens of other services.
Phishing remains one of the most effective ways to steal credentials. Attackers create convincing fake login pages that capture credentials in real-time. Modern phishing kits can even intercept MFA codes, forwarding them to attackers before they expire.
Spear phishing targets specific individuals with personalized attacks. Business email compromise often starts with a phishing email that captures an executive’s credentials.
Credential stuffing takes previously leaked credentials and tests them against new targets at scale. Attackers use botnets to distribute login attempts across thousands of IP addresses, evading rate limiting and detection.
The attack exploits a simple reality: people reuse passwords. A password leaked from a shopping site might also work for the victim’s corporate VPN.
Social engineering bypasses technical controls by manipulating people. Attackers impersonate IT support, executives, or trusted vendors to trick employees into revealing credentials.
Phone-based social engineering has become increasingly sophisticated. Attackers research their targets, reference real projects and colleagues, and create urgency to prevent victims from thinking critically.
Criminal marketplaces sell credentials at scale. Fresh corporate VPN credentials might sell for $50-500. Combo lists containing millions of credentials sell for a few dollars.
These marketplaces have become the supply chain for credential-based attacks. Attackers who steal credentials sell them. Attackers who want to use credentials buy them. The specialization makes both sides more effective.
Detection matters because prevention isn’t perfect. Some attacks will get through. Recognizing the warning signs quickly limits the damage.
Logins from geographically distant locations within a short timeframe indicate credential compromise. If a user logs in from New York and then from Singapore an hour later, something is wrong.
Monitor for impossible travel patterns as a primary indicator of account takeover. Legitimate users don’t teleport.
Multiple failed login attempts followed by a successful login often indicate credential stuffing or password guessing. The failures represent attackers testing credentials. The success represents a match.
Watch for this pattern especially when the successful login comes from a different IP address than the failures.
When users receive MFA prompts they didn’t initiate, attackers may be testing stolen credentials. MFA fatigue attacks bombard users with approval requests hoping they’ll eventually click yes just to make it stop.
Educate users to report unexpected MFA requests immediately. This is often the first warning that credentials are compromised.
Attackers often change account settings after gaining access. They might add their own email address to receive password reset links, change phone numbers for SMS verification, or modify notification settings to hide their activity.
Alert on all account setting changes and require re-authentication before allowing them.
Watch for users accessing systems or data they don’t normally touch. A finance employee suddenly downloading engineering documents should trigger an investigation. An account that’s been dormant for months becoming active is suspicious.
Behavioral baselines help identify when account activity deviates from normal patterns.
Session token theft lets attackers operate without authenticating. Watch for sessions that suddenly switch IP addresses or user agents. Multiple simultaneous sessions from different locations indicate credential sharing or compromise.
Spotting an attack in progress limits damage. Detecting compromised credentials before attackers use them prevents the attack entirely. ATO prevention requires multiple layers. No single control stops every attack.
The most effective prevention happens before attackers try to use your credentials. Dark web monitoring scans criminal marketplaces, infostealer channels, and third-party breaches for your organization’s leaked credentials.
When monitoring detects compromised credentials, you can force password resets before exploitation occurs. This converts a potential breach into a routine password change.
Compromised credential monitoring should run continuously, not as periodic scans. Credentials can appear on the dark web and be exploited within hours. Real-time detection enables real-time response.
Multi-factor authentication stops many account takeover attempts. But not all MFA is equal. And no MFA helps if an infostealer has already captured session tokens from the victim’s device.
SMS-based MFA can be bypassed through SIM swapping or real-time phishing. TOTP apps are more secure but can still be phished with real-time proxy attacks. These methods add friction but don’t eliminate risk.
Hardware security keys and passkeys provide the strongest protection. They’re bound to specific origins, making them immune to phishing. CISA recommends phishing-resistant MFA for all critical accounts.
Prioritize phishing-resistant MFA for:
Rate limiting slows credential stuffing attacks by restricting login attempts from individual IP addresses. When attackers can only try a few passwords per minute instead of thousands, attacks become impractical.
Bot protection goes further by identifying and blocking automated attacks. It distinguishes human users from scripts, stopping credential stuffing even when attackers distribute attacks across many IP addresses.
Effective bot protection uses behavioral signals: mouse movements, typing patterns, timing characteristics. Simple IP-based rate limiting won’t work when attackers can simply rotate their requests through proxy networks.
Password policies should encourage unique passwords without creating friction that drives bad behavior. Long passphrases work better than complex character requirements.
Password managers eliminate the human tendency to reuse passwords. When employees don’t need to remember passwords, they can use unique, strong passwords for every account. Enterprise password managers also prevent credentials from being stored in browsers where infostealers can harvest them.
Check new passwords against breach databases before accepting them. If a password already appears in known breaches, reject it immediately. Attackers will try it.
When monitoring detects warning signs, automated response limits damage. Temporarily lock accounts after impossible travel alerts. Require step-up authentication for unusual access patterns. Automated containment buys time for investigation without waiting for human review.
Technical controls fail when employees hand over their credentials to phishing attacks. Security awareness training helps employees recognize social engineering before they become victims.
Effective training goes beyond annual compliance videos. Regular simulated phishing tests identify vulnerable employees for additional training. Just-in-time reminders when users click suspicious links reinforce good habits.
Focus training on:
When you detect an account takeover, speed matters. Every hour of delay gives attackers more time to escalate access and cause damage.
Lock the compromised account immediately. Disable access while you investigate. The goal is to stop the attacker, not preserve their access for analysis.
Revoke all active sessions. Changing the password isn’t enough if attackers have session tokens. Invalidate all existing sessions so the user has to log in again.
Disable any API keys or access tokens associated with the account. These provide persistent access that survives password changes.
Determine how the account was compromised. Was it an infostealer infection? A phishing attack? Credentials from a third-party breach? Understanding the source helps you identify other potentially compromised accounts.
Review logs to understand what the attacker accessed and did. Look for data exfiltration, configuration changes, new accounts created, and lateral movement attempts.
Check if the compromised credentials were reused anywhere else. If they were, those accounts need immediate password resets too.
Don’t reset passwords until you’ve confirmed the victim’s device is clean. If an infostealer is still running, it will capture the new credentials immediately.
Scan the compromised device for malware. If an infection is confirmed, isolate it from the network and reimage it before the user logs into anything.
Once the device is clean, reset the password and enable phishing-resistant MFA. Revoke OAuth tokens and API keys that could provide persistent access.
Document what happened, how you detected it, and how you responded. This record helps with compliance requirements and improves future response.
Identify what preventive controls failed and what detection worked. Use this analysis to strengthen defenses. If credentials came from an infostealer, improve endpoint protection. If phishing succeeded, enhance training.
Consider whether the same attack vector could compromise other accounts. Proactive credential resets for potentially exposed users prevent repeat incidents.
Account takeover prevention works best when it’s proactive. Detecting compromised credentials before attackers use them beats responding after they’ve already caused damage.
The key elements of effective prevention are:
Credential intelligence. Monitor dark web marketplaces and infostealer channels for your organization’s leaked credentials. Reset compromised passwords before exploitation occurs.
Strong authentication. Implement phishing-resistant MFA for all critical accounts. Hardware security keys and passkeys provide the best protection against credential theft. But remember: MFA won’t help if an infostealer has already captured session tokens.
Continuous monitoring. Watch for suspicious login patterns, impossible travel, and behavioral anomalies. Detect attacks quickly when prevention fails.
Employee awareness. Train employees to recognize phishing and social engineering. Human error remains the starting point for many attacks.
Your credentials are already on the dark web. The 246-day average detection time for credential-based breaches proves most organizations don’t know they’re compromised.
You don’t have to be one of them. Check if your organization’s credentials are already exposed.
Account takeover prevention is the set of security practices and tools used to stop attackers from gaining unauthorized access to user accounts. It includes detecting compromised credentials on the dark web, implementing multi-factor authentication, monitoring for suspicious login activity, and training employees to recognize phishing attacks.
Detecting compromised credentials before attackers can use them is the most effective prevention method. Dark web monitoring identifies leaked passwords in 3rd party breaches, combo lists, and infostealer logs, enabling password resets before they’re exploited.
The first step is credential acquisition. Attackers obtain valid credentials through infostealer malware, data breaches, phishing attacks, or by purchasing them on dark web marketplaces. Without valid credentials, the attack cannot proceed.
Warning signs include impossible travel patterns (logins from distant locations within short timeframes), multiple failed authentication attempts followed by success, unexpected MFA requests, unauthorized account setting changes, and unusual transactions or data access patterns.
Combine behavioral monitoring with proactive credential intelligence. Watch for login anomalies like impossible travel and failed authentication spikes. Use dark web monitoring to detect when credentials appear in 3rd party breaches, combo lists, and infostealer logs before attackers exploit them.
An account takeover (ATO) is when an attacker gains unauthorized access to a legitimate user’s account using stolen credentials, session tokens, or social engineering. Once inside, attackers can steal data, commit fraud, deploy ransomware, or move laterally through networks.

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