Security Scan Report: molleris.se

Submitted: Oct 4, 2026, 7:00:43 PMCompleted: Oct 4, 2026, 7:02:26 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Aged Swedish domain now serves Indonesian gambling spam layered over scraped Samsung.com content, with 8 redirects. No credential harvesting or malware, but brand misuse and illegal gambling make it high-risk.

Risk Factors (4)
Illegal/unlicensed online gambling promotion content
Third-party brand assets (Samsung) reused on an unrelated domain without authorization
Excessive cross-domain redirect chain (8 redirects)
Domain content unrelated to its age/history, indicating compromise or repurposing
Safety Factors (5)
Domain is well-established (26 years old)
No JavaScript malware (YARA), no threat-intel indicators of compromise, no IDS alerts
No password/payment field harvesting; forms present are scraped Samsung SSO endpoints, not exfiltration
25 third-party scripts from top-1M ranked hosts
Established domain (9593 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

MENSION77 X SUKAJP138 Cus Bestie, Event Seru Terbatas Waktu yang Bikin Malam Jadi Seru

Scan Type

public

Domain Name Analysis

You're looking at domain 'molleris.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The registrable portion 'molleris' spans 8 characters containing 3 vowels alongside 5 consonants. Tokenizing the label suggests two words: moller, is. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://molleris.se

Page Load Overview

9.24s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id-ID
Text Length:54,568 chars
Detector Agreement:60%

Website Classification

Primary Category

gambling betting81% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
81%
entertainment media
74%
adult content
59%
cryptocurrency blockchain
40%
technology software
36%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46209.42.255.115Amsterdam, North Holland, Netherlands
AS63410PrivateSystems Networks
223.52.180.53Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
22.23.244.69Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
223.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2172.217.116.4Google · CDNUnited States
AS15169Google LLC
213.226.244.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
245.43.142.4United Kingdom
AS16276OVH SAS
17867--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F1582B260F0243703EB92C1DB50763DFD6B819B8C45580A7A9C1F9B5FC1FA98A07A5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:HRsnvVNabK5q4OG8AtlzBySy09gLLW7clUu:HH4OGLvppu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:880424:EEDQIQRBhlAkBEVTZJKBiConSCBRgL4YwgM/hFExhR8KRoVBGvQjqKBEBoQBJQySDJJggpcAUSEAoWHJggjkSEiK5kolAxHV

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:1181d10119190161
Perceptual Hash:8a76738c2733ccd8
Difference Hash:612d35cd33b30dc9
Wavelet Hash:99dbf3411b1903e5
Color Hash:#ac539f

Scan History

Scan history not available

Unable to load historical scan data