Summary
This website contacted 2 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is cefet-rj.br and was registered NaN years ago.
Submitted URL: http://www.cefet-rj.br/
Effective URL: https://www.cefet-rj.br/Redirected
AI Security Verdict
Low Risk
Confidence: 92%
The site is an established educational institution with no phishing, malware, or credential‑stealing indicators.
Risk Factors
Safety Factors
Details
Page Title
Página inicial
Scan Type
public
Language
Portuguese
Category
documentation technical
(94%)Domain Information
Within the Brazilian country-code top-level domain (.br), 'www.cefet-rj.br' is registered and includes subdomain 'www'. Its registrable label 'cefet-rj' stretches across 8 characters split between two vowels and five consonants, notching one hyphen. Word splitting yields three words: cef, et, rj. Median word length comes out to 2 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 |
|---|---|---|---|
| 35 | 200.9.149.90 | Brazil | AS2715Fundacao Carlos Chagas Filho de Amparo a Pesquisa |
| 34 | 15.229.72.199 | São Paulo, São Paulo, Brazil | AS16509Amazon.com, Inc. |
| 69 | 2 | - | - |
Detected Technologies5
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
Unable to load historical scan data