Security Scan Report: 3dgweb.se

Redirected to:
https://www.3dgweb.se/logon.aspx?ReturnUrl=%2f
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 6 domains to perform 22 HTTP transactions. The main domain is 3dgweb.se.

Submitted URL: https://3dgweb.se

Effective URL:
https://www.3dgweb.se/logon.aspx?ReturnUrl=%2f
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Established 14-year-old domain hosting its own self-branded ASP.NET login page (Multipoint Nova) with a same-origin form. No impersonation, no Indicators of Compromise, no malware or IDS hits — appears legitimate.

Safety Factors (4)
14-year-old established domain
Same-origin login form with standard ASP.NET viewstate fields, no disguised password or payment fields
No threat-intelligence matches against the page or its resources
Cross-origin JS traffic limited to common Google analytics endpoints
Domain age information unavailable

Details

Page Title

Logga in - Multipoint Nova

Scan Type

public

Domain Name Analysis

You're looking at domain '3dgweb.se' on the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label '3dgweb' stretches across 6 characters containing one vowel alongside 4 consonants, along with 1 digit. Breaking it apart gives 4 words: 3, d, g, web. Expect one character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://3dgweb.se

Page Load Overview

3.53s
Total Load Time
299 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

Text Length:189 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content42% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
42%
technology software
36%
government public service
35%
phishing scam
30%
news media journalism
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
688.129.214.103Nyköping, Södermanland County, Sweden
AS29518Bredband2 AB
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.101Google · CDNUnited States
AS15169Google LLC
2142.251.127.97Google · CDNUnited States
AS15169Google LLC
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2142.251.110.100Google · CDNUnited States
AS15169Google LLC
2142.251.110.113Google · CDNUnited States
AS15169Google LLC
2142.251.13.97Google · CDNUnited States
AS15169Google LLC
229--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14542C8056CBBCC26450370EAF476DD582CADA213A741DC4579FD99282F73F884E26B8E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+ck2IMUwSCy0z/ohVM/2YhPgrq9E+H864gcgpBeKX44J/tcfGMjgbYgyRPhbbVCU:LTpE+cZQu4J/tcu3bYgyRPhbbVCScC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12389:sIOHQxATdCsAAW+AIqZEyGMYoIOLZABgiRAAPxUTkAuEAEDAAwUIBEQIuJQkzCAuAwG2UnAqAWCPDUZwJmgeBCDRCmcAgBBG

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:0000ffffffffffff
Perceptual Hash:83030f0f0f8f9797
Difference Hash:c189590909010101
Wavelet Hash:0000e9e1e1f1c1c1
Color Hash:#d23d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data