Summary
API
This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is cas.univ-montp3.fr and was registered 31 years ago.
Submitted URL: https://confunivermonpt3.firebaseapp.com/
Effective URL:
AI Security Verdict
Low Risk
Confidence: 60%
Unknown-age Firebase tenant that simply redirects to the official Université Montpellier 3 CAS login. No forms, no credential capture, no threat-intel, YARA or IDS hits — nothing malicious on the page itself.
Risk Factors (2)
Safety Factors (3)
Details
Page Title
Page Redirectionother network
Scan Type
public
Domain Name Analysis
The domain 'confunivermonpt3.firebaseapp.com' uses the commercial generic top-level domain (.com) with subdomain 'confunivermonpt3'. The core label 'firebaseapp' covers 11 characters with 5 vowels and six consonants. Tokenizing the label suggests three words: fire, base, app. The median word length lands at 4 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 |
|---|---|---|---|
| 2 | 199.36.158.100Fastly · CDN | United States | AS54113Fastly, Inc. |
| 1 | 193.52.137.213 | Montpellier, Occitanie, France | AS2200Renater |
| 3 | 2 | - | - |
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