ScanMalware.com

Security Scan Report: kukkreklogen.gitbook.io

Submitted: Nov 12, 2025, 9:26:00 PMCompleted: Nov 12, 2025, 9:26:33 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 4 domains to perform 44 HTTP transactions. The main domain is kukkreklogen.gitbook.io.

Submitted URL: https://kukkreklogen.gitbook.io/us/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate site with no apparent security threats

Safety Factors
Standard hosting on gitbook.io, a known documentation service
Absence of suspicious forms or scripts
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Sign in to Kråken | Empowering Traders

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(97%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'kukkreklogen.gitbook.io' is registered, featuring subdomain 'kukkreklogen'. The second-level label 'gitbook' is 7 characters long holding 3 vowels versus 4 consonants. It segments into three words: g, it, book. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kukkreklogen.gitbook.io/us/

Page Load Overview

7.83s
Total Load Time
44
HTTP Requests
4
Domains
153 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,067 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software97% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
97%
cryptocurrency blockchain
96%
finance banking
80%
blog personal website
68%
government public service
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.18.40.47United States
AS13335CLOUDFLARENET
3172.64.147.209United States
AS13335CLOUDFLARENET
3104.18.40.68United States
AS13335CLOUDFLARENET
3104.18.41.89United States
AS13335CLOUDFLARENET
3172.64.146.167United States
AS13335CLOUDFLARENET
32606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
32606:4700:4404::6812:2959United States
AS13335CLOUDFLARENET
32a06:98c1:3101::ac40:93bcUnited States
AS13335CLOUDFLARENET
3172.64.147.188United States
AS13335CLOUDFLARENET
32606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
4412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EE3F91A6100F7065DB3DD10623EBE3D818ED66B97B8D9ADF24DD9A9178803B07B3D60

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GfbxMAyavvtYdJ2KtmwXXBh+q3nRvIOuP1lJGEoWUFth6DllI5I+IlI0IJCwTGVM:J3gtoq3xF/Or

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148497:TAaARkkEECJgDwBEhciOoChAMmoszrUCAIAtSNCRBmGoJSs2RGCCDhECAuQlCABRBR4cIogZUpsIAYmwKABEwJ6BAAqQH0UQ

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:ffc7c7e7c7c3c7c7
Perceptual Hash:b636999986c61b36
Difference Hash:511e0c0c0c16164e
Wavelet Hash:0dc3c3c7c7c3c383
Color Hash:#40bf90

Other Hashes

Crop Resistant:511e0c0c0c16164e,00c119456519c100

Scan History

Scan history not available

Unable to load historical scan data