Security Scan Report: analytics.dittecpat.se

Site favicon
Submitted: Dec 5, 2025, 9:49:30 AMCompleted: Dec 5, 2025, 9:50:06 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 14 HTTP transactions. The main domain is analytics.dittecpat.se and was registered NaN years ago.

Submitted URL: https://analytics.dittecpat.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Matomo login page on an established domain.

Safety Factors
Established domain with over 5 years of registration
Standard authentication form for a legitimate analytics platform
No payment or sensitive data collection beyond credentials
Domain age information unavailable

Details

Page Title

Sign in - Matomo

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

unknown

(0%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'analytics.dittecpat.se' is registered; it also runs on subdomain 'analytics'. The registrable portion 'dittecpat' spans 9 characters containing three vowels alongside 6 consonants. Breaking it apart gives 4 words: d, it, tec, pat. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://analytics.dittecpat.se/

Page Load Overview

0.56s
Total Load Time
14
HTTP Requests
1
Domains
798 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
Text Length:172 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1446.21.102.110Falkenberg, Halland County, Sweden
AS42708GleSYS AB
141--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197A3F81FA35C1636061A03E3BE5F95C3FBF8828BA290C5257C5C8B6C179FD98436B598

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8g5+EGLRsKbSyhN7OVTAVPcAal/gZCAjP:8g5UjC0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99294:QBBIAAYDEJdYBYHmKJBpYBAKACxCQSzOoqOZULngbUgCAOiAMjXAPKADAGrTVBAjRBxADGgAKYIygAEPJiAqkQ6C2FEgk+Ag

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:00ffffffffffffff
Perceptual Hash:cc4c3b336c6c6c1b
Difference Hash:3120717729150101
Wavelet Hash:003d3d393f030101
Color Hash:#2d5b86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data