Summary
API
Submitted URL: https://forologikespllirofories.web.app/
AI Security Verdict
Moderate Risk
Confidence: 60%
Page title claims to be the Greek government portal 'gov.gr' on an unofficial Firebase subdomain named for tax info, but no forms or malware were found. Brand impersonation without data capture — treat as untrusted.
Risk Factors (3)
Safety Factors (4)
Details
Page Title
gov.gr
Scan Type
public
Domain Name Analysis
Within the application-focused generic top-level domain (.app), 'forologikespllirofories.web.app' is registered and includes subdomain 'forologikespllirofories'. The second-level label 'web' is 3 characters long split between one vowel and 2 consonants. Segmentation suggests one word: web. 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 |
|---|---|---|---|
| 5 | 199.36.158.100Fastly · CDN | United States | AS54113Fastly, Inc. |
| 1 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 51.77.64.70 | Germany | AS16276OVH SAS |
| 1 | 34.117.33.233Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 1 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 5 | - | - |
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