Security Scan Report: synlab-italy.fastfinder.app

Redirected to:
https://identityservice.ugentec.app/Account/Login?ReturnUrl=%2Fconnect...
Submitted: Jan 24, 2026, 11:52:23 AMCompleted: Jan 24, 2026, 11:53:35 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 36 HTTP transactions. The main domain is identityservice.ugentec.app and was registered NaN years ago.

Submitted URL: https://synlab-italy.fastfinder.app

Effective URL: https://identityservice.ugentec.app/Account/Login?ReturnUrl=%2Fconnect%2Fauthorize%2Fcallback%3Fresponse_type%3Dcode%26client_id%3DPlatformAppId%26state%3DTk0xUnVtbWZ2amY3ZWtMemY2dUFlek8xdDN0bGZtbS1HcW1rUjl2RjJQenow%26redirect_uri%3Dhttps%253A%252F%252Fsynlab-italy.fastfinder.app%252Flogin%26scope%3Dopenid%2520profile%2520email%2520PlatformScope%2520SignalRServiceAppScope%2520offline_access%26code_challenge%3DX-16ROyGuf-RosgrAnx6Ay56fGpAjSuVVICKTqogUn0%26code_challenge_method%3DS256%26nonce%3DTk0xUnVtbWZ2amY3ZWtMemY2dUFlek8xdDN0bGZtbS1HcW1rUjl2RjJQenow%26application%3DLabManagementRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate login page with no detected threats.

Safety Factors
Well‑established domain (>7 years old)
No malicious Indicators of Compromise
No detected JavaScript malware
Standard hosting (not IPFS or cloud storage)
HTTPS connection
Domain age information unavailable

Details

Page Title

UgenTec

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(84%)

Domain Information

You're looking at domain 'synlab-italy.fastfinder.app' on the application-focused generic top-level domain (.app) and includes subdomain 'synlab-italy'. The registrable portion 'fastfinder' spans 10 characters holding three vowels versus 7 consonants. Tokenizing the label suggests two words: fast, finder. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://synlab-italy.fastfinder.app

Page Load Overview

1.80s
Total Load Time
31
HTTP Requests
5
Domains
419 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:106 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical84% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
84%
technology software
64%
government public service
58%
news media journalism
36%
corporate business
33%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
734.36.140.245Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
620.73.144.237Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
620.76.157.95Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6172.67.69.206United States
AS13335CLOUDFLARENET
620.50.88.238Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
315--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D991771454F80E2B40129AD16CD49A2BBED1D703CE0A5548BAFC0EED1FE3E468E1B55E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Tpd7xmaJUs6WTzax+QgG5NAB2j4kNrkbTrYbAARKHYqTveImOjRWGLBVkE:TXgsx6vQmDtrk/rYbxU9T+Ypb9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4238:CAEHBBFEACJAAEECAAAREDAYoBAQEiCAgAAIAAFCgAAAoCpGRpCgEEAgEiZCoEBSAAMQAIEAGBAADAACiACEAEiSBIAAIABA

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

Average Hash:00f7e7efe3f3ffe7
Perceptual Hash:e6199b4c66996666
Difference Hash:40080c180404000c
Wavelet Hash:00ffe0e0e0f0fce4
Color Hash:#b42dd2

Other Hashes

Crop Resistant:40080c180404000c

Scan History

Scan history not available

Unable to load historical scan data