Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is pj.santandernetibe.com.br and was registered NaN years ago.
Submitted URL: https://pj.santandernetibe.com.br
Effective URL: https://pj.santandernetibe.com.br/#/Redirected
The Cisco Umbrella rank of the primary domain is #44,411 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #44,411.
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
The domain name 'pj.santandernetibe.com.br' uses the Brazilian country-code top-level domain (.com.br) and includes subdomain 'pj'. Count 15 characters in 'santandernetibe' holding six vowels versus nine consonants. Splitting it apart reveals four words: santander, net, i, be. The median word length lands at 2.5 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 |
|---|---|---|---|
| 14 | 23.52.180.63 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 14 | 1 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
Unable to load historical scan data