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Security Scan Report: renrumsbygg.se

Redirected to:
https://www.renrumsbygg.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/36ea687c-4007-4fd9-ad83-2f8e16bac1c8Domain and IP registration (RDAP)/api/v1/rdap/36ea687c-4007-4fd9-ad83-2f8e16bac1c8How often this domain was scanned/api/v1/domain/stats/renrumsbygg.seScan history for this domain/api/v1/domain/history/renrumsbygg.se?limit=15
This website contacted 10 IPs in 2 countries across 8 domains to perform 64 HTTP transactions. The main domain is renrumsbygg.se.

Submitted URL: https://renrumsbygg.se

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

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish cleanroom construction company site displaying its own brand on a matching domain; no forms, no impersonation, no threat-intel, YARA or IDS hits. Domain age unknown (neutral).

Safety Factors (4)
Title and meta tags match the registered domain (self-branding, no impersonation of another entity)
No forms, no login, no payment or password fields
No Indicators of Compromise, YARA or IDS hits
No obfuscated or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Renrumsbygg i Stockholm AB

Scan Type

public

Domain Name Analysis

The domain name 'renrumsbygg.se' uses the Swedish country-code top-level domain (.se). The core label 'renrumsbygg' covers 11 characters with 2 vowels and nine consonants. Tokenizing the label suggests four words: ren, rums, by, gg. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://renrumsbygg.se

Page Load Overview

6.89s
Total Load Time
1.6 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:1,903 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
corporate business
34%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1095.128.114.71Katrineholm, Södermanland County, Sweden
AS43809Forss IT AB
6142.251.20.95Google · CDNUnited States
AS15169Google LLC
6142.251.110.97Google · CDNUnited States
AS15169Google LLC
6142.251.152.119Google · CDNUnited States
AS15169Google LLC
6142.251.14.94Google · CDNUnited States
AS15169Google LLC
6142.250.154.94Google · CDNUnited States
AS15169Google LLC
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
6142.251.153.119Google · CDNUnited States
AS15169Google LLC
6142.251.150.119Google · CDNUnited States
AS15169Google LLC
6216.239.34.36Google · CDNUnited States
AS15169Google LLC
6410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B523E9B278680835625F639AA067730CD1ABDADAC745E6F6F4F5702452F4DF122B320E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QFypbVnb58JGHwP9P8wQB9hU3Pi3c6v/aOARR+xkR4i:QA1VSJGHw1PdQB9hU3Pic6v/aOqRln

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49761:gCe1wrMGRQwQKSsAzQISXAhgVgyCFAQhZJBDQdWBTAChkFUJEBIREqUgACgisycQQsSIBU0RkARLQoVtCAsIIcKFAJpBZDgQ

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:00f0fff7f1f0f0f0
Perceptual Hash:ee95516b3239199a
Difference Hash:8e64612565232724
Wavelet Hash:00f0f8f5f1f0f0f0
Color Hash:#612d86

Other Hashes

Crop Resistant:8e64612565232724,e0e6e6e2e6e6e41f,9193191bb799e973,9399d94b1b37d8f3,5d1d1d4d3848a4b3,2365648424042405

Scan History

Scan history not available

Unable to load historical scan data