ScanMalware.com

Security Scan Report: kraken-coin.gitbook.io

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/552423c4-ce88-4015-8013-0dbdd1db7d55Domain and IP registration (RDAP)/api/v1/rdap/552423c4-ce88-4015-8013-0dbdd1db7d55How often this domain was scanned/api/v1/domain/stats/kraken-coin.gitbook.ioScan history for this domain/api/v1/domain/history/kraken-coin.gitbook.io?limit=15
This website contacted 12 IPs in 1 country across 5 domains to perform 45 HTTP transactions. The main domain is gitbook.io and was registered 12 years ago.

Submitted URL: https://kraken-coin.gitbook.io/kraken-coin/

AI Security Verdict

Low Risk

Confidence: 58%

3
Risk Score

Legitimate informational page for a crypto token; no direct phishing or malware threats detected.

Risk Factors (1)
Potential brand impersonation (Kraken) on an unranked domain
Safety Factors (3)
Domain age over 11 years (well‑established)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

$KRAKEN Whitepaper | Kraken Coinother network

Scan Type

public

Domain Name Analysis

The domain 'kraken-coin.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'kraken-coin'. Its registrable label 'gitbook' stretches across 7 characters holding three vowels versus 4 consonants. Tokenizing the label suggests 3 words: g, it, book. The median word length lands at 2 characters. 'g' most often appears in English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

‘SKRAKEN Whitepaper, SKRAKEN\Whitepaper, The Awakening of the Deepy Introduction, [Conclusion] ‘SKRAKEN is.@ decentralized’ community-driven cryptocurrency inspired by mythical depths and maritime...

Page Load Overview

1.77s
Total Load Time
764 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,666 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce33% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
33%
cryptocurrency
22%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33172.64.146.167United States
AS13335CLOUDFLARENET
12104.18.40.47United States
AS13335CLOUDFLARENET
6172.64.147.209United States
AS13335CLOUDFLARENET
5104.18.40.68United States
AS13335CLOUDFLARENET
3172.64.147.188United States
AS13335CLOUDFLARENET
32a06:98c1:310d::ac40:92a7United States
AS13335CLOUDFLARENET
32606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
32606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
32a06:98c1:3101::ac40:93bcUnited States
AS13335CLOUDFLARENET
32606:4700:4402::ac40:93d1United States
AS13335CLOUDFLARENET
4512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE3409293000F7896DA7CD50763DFE3E804EC6A7CB6AC8E9F29DD96167C54371AA25C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GfHxMADRvvtddD2Kts/i/XrXBh+q3VRvIOuP1lJIEDqU9TQt+2NjHh/IwIMIrVIE:k3aPDX3NlvM9Ouy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:238588:rIABLHBQkIhs4MgF4aBADBw4oBWDgkpBUKsMBsIARAgDQwBDE4lEg8E9XEzHCFgUECAEQg4KSFEBARjgQeQR2YaRC8BBiCAo

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:73323c3830303030
Perceptual Hash:ceb1e46531b9b131
Difference Hash:a664616068646460
Wavelet Hash:ff333d3c303038b8
Color Hash:N/A

Other Hashes

Crop Resistant:a664616068646460

Scan History

Scan history not available

Unable to load historical scan data