ScanMalware.com

Security Scan Report: bitbuyilogiapp.gitbook.io

Submitted: Oct 12, 2025, 9:25:49 AMCompleted: Oct 12, 2025, 9:27:29 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 4 domains to perform 47 HTTP transactions. The main domain is bitbuyilogiapp.gitbook.io and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate documentation page; no phishing or scam indicators detected.

Safety Factors
Well‑established domain age
Reputable hosting provider (GitBook)
Absence of login or payment forms
No malicious Indicators of Compromise
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

bitbuy Login@--A Comprehensive Guide - bitbuy Login | bitbuy Login@--A Comprehensive Guide - bitbuy Login

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

technology software

(70%)

Domain Information

The domain 'bitbuyilogiapp.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'bitbuyilogiapp'. The registrable portion 'gitbook' spans 7 characters holding three vowels versus four consonants. Splitting it apart reveals 3 words: g, it, book. Median word length comes out to two characters. 'g' is most common in English usage. It also appears in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

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

Page Load Overview

55.65s
Total Load Time
47
HTTP Requests
4
Domains
157 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
HTML Lang Attribute:en
Text Length:389 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
67%
cryptocurrency blockchain
64%
healthcare medical
47%
finance banking
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.18.40.47United States
AS13335CLOUDFLARENET
3104.18.41.89United States
AS13335CLOUDFLARENET
3172.64.146.167United States
AS13335CLOUDFLARENET
3104.18.40.68United States
AS13335CLOUDFLARENET
3172.64.147.188United States
AS13335CLOUDFLARENET
3172.64.147.209United States
AS13335CLOUDFLARENET
32606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
32606:4700:4402::ac40:93d1United States
AS13335CLOUDFLARENET
32a06:98c1:3101::ac40:93bcUnited States
AS13335CLOUDFLARENET
32606:4700:4404::6812:2959United States
AS13335CLOUDFLARENET
4712--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EE3E9166200F7065DB2DD60633ABE3A90CECA5B9B65E4ADF20DD5925BC803F07E3D64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VH3gCJpz3Gs4X3xEv/DhIpanyF/SHTGAcq+QC:VJpz3l4iDhIpOyF/SHTGAcq7C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:143999:RSCAgwDBwQKG0hAYABlNcSGIp4IgB5QoCDFiDoIsiURwBCGMMZQBJSIYSeQ+AxqEw4CUgGFSgYpUAI9JogdFBKUhQEESGmJG

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:87c7e7f7ffffffff
Perceptual Hash:a636999999666666
Difference Hash:5e4c0d2d10040040
Wavelet Hash:03030707c0f0f010
Color Hash:#3b783a

Other Hashes

Crop Resistant:5e4c0d2d10040040,042babe2aa1b0000

Scan History

Scan history not available

Unable to load historical scan data