Security Scan Report: go.dibz.se

Redirected to: https://www.dibz.se/

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Submitted: Nov 26, 2025, 12:27:45 AMCompleted: Nov 26, 2025, 12:31:18 AMpubliccompleted
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Summary

This website contacted 90 IPs in 3 countries across 16 domains to perform 106 HTTP transactions. The main domain is dibz.se and was registered NaN years ago.

Submitted URL: https://go.dibz.se/

Effective URL: https://www.dibz.se/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>4 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
No IPFS or cloud‑storage hosting
Single simple redirect to the same brand domain
Domain age information unavailable

Details

Page Title

dibz

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

real estate property

(69%)

Domain Information

Domain 'go.dibz.se' uses the Swedish country-code top-level domain (.se) with subdomain 'go'. The core label 'dibz' covers 4 characters containing 1 vowel alongside 3 consonants. Word splitting yields 2 words: di, bz. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go.dibz.se/

Page Load Overview

1.77s
Total Load Time
106
HTTP Requests
16
Domains
695 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:3,739 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property69% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
69%
adult content
43%
government public service
35%
cryptocurrency blockchain
32%
technology software
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5718.173.205.73United States
AS16509AMAZON-02
1718.245.60.14United States
AS16509AMAZON-02
752.222.236.71United States
AS16509AMAZON-02
651.158.227.247Haarlem, North Holland, Netherlands
AS12876Scaleway S.a.s.
565.8.131.116United States
AS16509AMAZON-02
5142.250.186.131United States
AS15169GOOGLE
43.224.88.112Ashburn, Virginia, United States
AS14618AMAZON-AES
3104.20.25.86United States
AS13335CLOUDFLARENET
352.222.236.60United States
AS16509AMAZON-02
23.174.46.92United States
AS16509AMAZON-02
10690--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199D4F8235115E4248CD359EDF3ADBA187819D101FF33C19AA6FC156FA6CECE822617AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zQCxvLo6TznTlzn0/zn1znFznWznwxl/mc1ByOfzt8QYucj0j7b+p:zN8Mmhmc1ByOrb+p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:633333:IQzBjIcNQSwBUAdADCBGFAoCRAM7AgksqZs3AEHuAwKigRWiyVgKRAmAVCIAYsTIQiEokCCjlAGFghMOCYIYIYAKnAhACQgU

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:ff0313300000f9ff
Perceptual Hash:8a02b35bdec2da9c
Difference Hash:c9e7e7e723139347
Wavelet Hash:ff0313310000ffff
Color Hash:#ac5368

Scan History

Scan history not available

Unable to load historical scan data