ScanMalware.com

Security Scan Report: repper.se

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

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2987cec4-2bce-47fd-8b20-f5ab5a2a37a1Domain and IP registration (RDAP)/api/v1/rdap/2987cec4-2bce-47fd-8b20-f5ab5a2a37a1How often this domain was scanned/api/v1/domain/stats/repper.seScan history for this domain/api/v1/domain/history/repper.se?limit=15
This website contacted 18 IPs in 3 countries across 11 domains to perform 64 HTTP transactions. The main domain is repper.se.

Submitted URL: https://repper.se

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate Swedish artist portfolio (Annika Repper) on a 13-year-old self-branded domain. No forms, no impersonation, no threat-intel, YARA or IDS hits.

Safety Factors (5)
Established 13-year-old domain
No Indicators of Compromise, YARA or IDS alerts
No credential, login or payment forms
Self-branded content matching its own domain — no impersonation of another entity
Static gallery/portfolio content with normal analytics scripts only
Domain age information unavailable

Details

Page Title

Annika Repper – Förälskad i färg

Scan Type

public

Domain Name Analysis

You're looking at domain 'repper.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'repper' is 6 characters long split between 2 vowels and 4 consonants. Tokenizing the label suggests two words: rep, per. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://repper.se

Page Load Overview

11.25s
Total Load Time
3.3 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:1,265 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
91%
blog personal website
72%
adult content
62%
technology software
53%
entertainment media
48%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13109.235.174.19Sweden
AS41528Loopia AB
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3172.67.69.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.127.100Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6418--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDF2A9F3182DBC360367A5D0F4A8F758A197404ECFC5DEE46BE4A22E93C5FC124A2685

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:t3szvD/7Lu8u3C2khgZBrthWwJmyyM2Nw9Renm62ELQxqe6hKIagiU:t3I7Lu8u3C2k6ZJ15zEw9Ram62ELQxqj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37614:EEyEDQbWA2wxhAIJCIKI5QTBBIgRIAGEgITgACHODBxggACfARo2804mSkOY4E0QaKImjYJABSAAhRsMrAfYYoAJGICEFQER

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:ffffff00000000ff
Perceptual Hash:b6d5f5483e2826c3
Difference Hash:10000c0169210108
Wavelet Hash:ffffff00000000ff
Color Hash:#d2a679

Other Hashes

Crop Resistant:10000c0169210108

Scan History

Scan history not available

Unable to load historical scan data