Security Scan Report: bigeyes.se

Redirected to:
https://bigeyes.se/bigeyes.se/Blogg/Blogg.html
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 3 countries across 3 domains to perform 46 HTTP transactions. The main domain is bigeyes.se.

Submitted URL: https://bigeyes.se

Effective URL:
https://bigeyes.se/bigeyes.se/Blogg/Blogg.html
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Personal Swedish kayaking/family blog on its own matching domain. No forms, no impersonation, no threat-intelligence, malware or IDS hits. Unknown .se registration age is neutral here.

Safety Factors (4)
Self-branding detected — the site's own name matches its domain, so no brand impersonation
No credential, payment or login forms on the page
No Indicators of Compromise, malware patterns, or network IDS alerts
Rich, dated, consistent personal content (entries from 2009–2010) typical of a long-running personal blog
Domain age information unavailable

Details

Page Title

Bigeyes.se

Scan Type

public

Domain Name Analysis

The domain name 'bigeyes.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'bigeyes' spans 7 characters holding three vowels versus four consonants. Segmentation suggests two words: big, eyes. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bigeyes.se

Page Load Overview

6.28s
Total Load Time
703 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:21%
Script:Latin
Direction:ltr

Detection Details

Text Length:998 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1646.30.213.68Copenhagen, Capital Region, Denmark
AS51468One.com A/S
1517.253.142.4United States
AS714Apple Inc.
1523.53.40.65Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
463--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4C2206146A61827816AF1D4F4B05F4F7622834FE3566C0877EC3666F3C9CA588BBCE4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:rZgUK4SvpOdUYCokRfz4boP+N58lLVWY9I:rZuYCp1XWJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26346:pgYyCAAANUsUAQALAGqxQ8aUQskxIEKEAJCFNBHAsQBLllDQgwEhkgaQFxMjGzjLABkNuk0sEUkNYJACgOqfYAMAFABQ4ieN

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data