Security Scan Report: karukeiinlogenew.gitbook.io

Submitted: Nov 12, 2025, 10:54:26 PMCompleted: Nov 12, 2025, 10:56:30 PMpubliccompleted
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Summary

This website contacted 12 IPs in 0 countries across 4 domains to perform 45 HTTP transactions. The main domain is karukeiinlogenew.gitbook.io.

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing page impersonating Kraken on an untrusted Gitbook subdomain; treat as high‑risk.

Risk Factors
Brand impersonation of Kraken on a non‑official, unranked domain
New or unknown domain age (likely <90 days)
UNRANKED domain in Cisco Umbrella indicating low reputation
Potential hidden credential harvesting despite no visible form
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Seamless Access to KraꝂen L𝗼𝗴i𝒏: Empowering Traders - Official

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(72%)

Domain Information

Domain 'karukeiinlogenew.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'karukeiinlogenew'. Its registrable label 'gitbook' stretches across 7 characters with three vowels and 4 consonants. Tokenizing the label suggests three words: g, it, book. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

79.47s
Total Load Time
45
HTTP Requests
4
Domains
320 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:481 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain72% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
72%
technology software
70%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.18.41.89UnknownUnknown
3172.64.147.209UnknownUnknown
3104.18.40.47UnknownUnknown
3172.64.147.188UnknownUnknown
3104.18.40.68UnknownUnknown
3172.64.146.167UnknownUnknown
32606:4700:4404::6812:2959UnknownUnknown
32a06:98c1:3101::ac40:93bcUnknownUnknown
32a06:98c1:310d::ac40:92a7UnknownUnknown
32606:4700:4407::6812:282fUnknownUnknown
4512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138D3D81A6100F3456DB3DE54633ABE3E80DEC6679B78D5ADF30DD9A21B8803B07A2D54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Gf/xMAyavvtYdJ2Ktm8we8TXBh+q3nRvIOuP1lJ9E9vUFXh7wTGVOCc0jjRqg5wg:03g69WwX3xF/JO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:131113:xgNSEJkqCgEMQKN4HtS5glUIgQykCACBAIkKQQx4CEJJGB53gETVZCGQAmDQgAsZhEEShDBR7IzHrBAyVTQSHKBC0TiocwW1

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:87c7c3c7c7ffffff
Perceptual Hash:b3378e9d1b8e0e0c
Difference Hash:4d1e0e1e1e140040
Wavelet Hash:0003c0c0c3cfff1f
Color Hash:#3a5c78

Other Hashes

Crop Resistant:4d1e0e1e1e140040

Scan History

Scan history not available

Unable to load historical scan data