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Security Scan Report: mobin.se

Redirected to:
https://mobin.se/?cn-reloaded=1
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/73996a3b-3769-4b20-83b1-7d84e10bc280Domain and IP registration (RDAP)/api/v1/rdap/73996a3b-3769-4b20-83b1-7d84e10bc280How often this domain was scanned/api/v1/domain/stats/mobin.seScan history for this domain/api/v1/domain/history/mobin.se?limit=15
This website contacted 9 IPs in 2 countries across 6 domains to perform 73 HTTP transactions. The main domain is mobin.se.

Submitted URL: https://mobin.se

Effective URL:
https://mobin.se/?cn-reloaded=1
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Swedish hydraulics company site (Mobin Hydraulic AB) with self-branded content, no forms, and no threat-intelligence, YARA, or IDS findings.

Safety Factors (4)
Domain matches displayed brand (self-branding, not impersonation)
No forms or data-collection fields on the page
No indicators of compromise or malware patterns
Consistent, specific business content with real address and project references
Domain age information unavailable

Details

Page Title

Vattenhydraulik är ren miljövänlig & framtidsvänlig kraft - Mobin Hydraulic AB

Scan Type

public

Domain Name Analysis

The domain 'mobin.se' uses the Swedish country-code top-level domain (.se). The second-level label 'mobin' is 5 characters long split between 2 vowels and 3 consonants. Splitting it apart reveals 2 words: mob, in. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mobin.se

Page Load Overview

3.54s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:4,225 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
83%
technology software
67%
corporate business
38%
government public service
36%
adult content
27%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
946.16.232.233Sweden
AS44136ODERLAND Webbhotell AB
8104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.251.14.119Google · CDNUnited States
AS15169Google LLC
8172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.250.154.97Google · CDNUnited States
AS15169Google LLC
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
8104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.250.154.119Google · CDNUnited States
AS15169Google LLC
8104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
739--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAA3A6F27545683A837B95C0F0193A1961C7914FCE068CD4A7FC83DEEBD5EA0A4A6378

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xCJJim6gSL/tdiPP/7U4WlA14A1DbM3sTG2otrfS1:MJim6guMUA14A1Hasa2QS1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103267:WOACCIEnmGIJJC08Z1CTEENmjoQrAVCMFg9iIRoVQCFCKASGIFUBVQsBIIF3UgYplYUACj0AQbHABAAiZ7GVMFjKeMagLCCG

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:c0ff1b000000f0f0
Perceptual Hash:ecb9e430f078396c
Difference Hash:9db773f1b5dd2501
Wavelet Hash:c0ffbb3d0000f0fd
Color Hash:#79d2b5

Other Hashes

Crop Resistant:9db773f1b5dd2501,989875656d2c6e5a,0000000000000010,0149455a5a415151,3773f0b3d48e2501

Scan History

Scan history not available

Unable to load historical scan data