Security Scan Report: connectapi-test.ugentec.app

Submitted: Mar 29, 2026, 2:12:03 PMCompleted: Mar 29, 2026, 2:13:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is connectapi-test.ugentec.app and was registered NaN years ago.

Submitted URL: https://connectapi-test.ugentec.app

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

connectapi-test.ugentec.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

Within the application-focused generic top-level domain (.app), 'connectapi-test.ugentec.app' is registered with subdomain 'connectapi-test'. Count 7 characters in 'ugentec' containing 3 vowels alongside four consonants. Word splitting yields 3 words: u, gen, tec. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connectapi-test.ugentec.app

Page Load Overview

0.22s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:260 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
65%
government public service
57%
documentation technical
51%
news media journalism
47%
healthcare medical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
120.73.104.225Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
11--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8047E773296063D86558498E05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszd2bMy8OldY:RhoC9JSqzzbs6o3Sj3gcrsB2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184693:2vAKIUmBgoA7CYB5A0KUMwUgUXQLDCkgAJEGYDVMBwBQqAiGkUjbORKoRgYYUGIWCQwpIQlJEr3hnUUTSieBYxEA9QQEAGdC

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:ffc7c7c3f3ffffff
Perceptual Hash:b1319acecc653333
Difference Hash:001c1c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#2dd2cd

Other Hashes

Crop Resistant:001c1c1606000000

Scan History

Scan history not available

Unable to load historical scan data