Overview / Description
intliq.ai monitors the dark web specifically for infostealer malware logs — a category of threat data that broad breach notification services routinely overlook. Where generic monitors flag email/password pairs from old data dumps, intliq.ai surfaces active session cookies, device fingerprints, and credential sets extracted by malware like RedLine, Raccoon, and Lumma. A stolen session cookie can bypass MFA and hand an attacker live account access, so detecting it early is the difference between containment and a full compromise. The platform is built for security teams, IT admins, and organizations that need to know when employee or customer credentials appear in fresh infostealer logs — not weeks later in a public breach database. The narrow focus on infostealer-specific data means less noise and more context than you get from general dark web monitoring tools.
Used For
AI tool for search engines workflows
Pricing
Pros & Cons
Pros
• Monitors infostealer malware logs specifically — covering stolen session cookies and device fingerprints that generic breach monitors miss • Detects active session cookie theft, which can bypass MFA and give attackers live account access without needing a password • Focused on fresh stealer logs (RedLine, Raccoon, Lumma) rather than months-old public breach databases • Less noise than general dark web monitors — narrow focus on infostealer-specific data means more actionable alerts • Built for security teams and IT admins who need early warning before compromised credentials are exploited
Cons
• Narrowly focused on infostealer logs — not a comprehensive dark web monitoring tool for all threat categories • Organizations outside the primary threat profile (enterprise, high-value targets) may find coverage excessive for their needs • Pricing and plan details are not publicly published
Questions & Answers
Alternatives
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