Summary
This website contacted 3 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is auth.azblue.com and was registered NaN years ago.
Submitted URL: https://azblue.kazoohr.com
Effective URL: https://auth.azblue.com/app/youearnedit/exk3k1ftx2945Y9Tr356/sso/saml?SAMLRequest=fZHBaoNAEIZfxduedN2NmmTRgDSXQHpJ0kJzKVMzIRLdtTu7xfbpq2kLFkqPA9%2F%2F%2FcNMTtA2nSq9u%2BgdvnokF5REaF1t9J3R5Fu0e7RvdYUPu23BLs51pDiHj5fGY%2FRuPILVeKpdVJmWjzoOFbFgPahqDaNnkhp6ou%2FoiEPX8YmCY3%2BdXcXZ9XKZpE%2FLg52lGScyNy8LNuuCPSenOeJCinABSwwTEBguEEQosiqF8%2FyEaSIHlMjjRpMD7QomY5mFcRZKcRCpknOVxEcWPKKl23oyilnQt40mNRYVzFutDFBNSkOLpFyl9uX9Vg2ggp%2FzTCPd%2F5nOGmcq07BVPtLqtp1d%2FX3EnE%2BZr%2Bn3i1af&saml_auth=trueRedirected
The Cisco Umbrella rank of the primary domain is #95,219 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 70%
Site shows self‑branding, no credential forms, but has highly obfuscated JavaScript; treat as moderate risk.
Risk Factors
Safety Factors
Details
Page Title
AZBLUE - AUTH - Sign In
Scan Type
public
Language
English
Category
documentation technical
(67%)Domain Information
The domain name 'azblue.kazoohr.com' uses the commercial generic top-level domain (.com), featuring subdomain 'azblue'. Its registrable label 'kazoohr' stretches across 7 characters with three vowels and 4 consonants. Tokenizing the label suggests 2 words: kazoo, hr. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 3.161.82.47 | United States | AS16509Amazon.com, Inc. |
| 9 | 35.199.32.36 | Washington, District of Columbia, United States | AS396982Google LLC |
| 9 | 15.197.151.86 | United States | AS16509Amazon.com, Inc. |
| 28 | 3 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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