Security Scan Report: gemincxologin.gitbook.io

Submitted: Nov 1, 2025, 5:23:57 AMCompleted: Nov 1, 2025, 5:25:25 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 4 domains to perform 45 HTTP transactions. The main domain is gemincxologin.gitbook.io.

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Bot Protection Detected

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

Page Title

Ɠemini Login | Ɠemini Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(58%)

Domain Information

Domain 'gemincxologin.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'gemincxologin'. Its registrable label 'gitbook' stretches across 7 characters containing 3 vowels alongside four consonants. Segmentation suggests three words: g, it, book. Median word length comes out to 2 characters. The linguistic tilt is English for 'g'. You will also see it in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

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

Page Load Overview

26.03s
Total Load Time
45
HTTP Requests
4
Domains
873 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:135 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software58% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
58%
documentation technical
46%
cryptocurrency blockchain
42%
adult content
40%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.64.146.167United States
AS13335CLOUDFLARENET
3172.64.147.188United States
AS13335CLOUDFLARENET
3104.18.40.68United States
AS13335CLOUDFLARENET
3172.64.147.209United States
AS13335CLOUDFLARENET
3104.18.41.89United States
AS13335CLOUDFLARENET
3104.18.40.47United States
AS13335CLOUDFLARENET
32606:4700:4402::ac40:93d1United States
AS13335CLOUDFLARENET
32606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
32606:4700:4404::6812:2959United States
AS13335CLOUDFLARENET
32606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
4512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101B3C8196405F7055DB2DE14533EBE3A809ED2278BB8C4BDF30EE9A6178813F1BE2954

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JfdxMAD7vvted62KtmyxdEhobCWlHXBh+q3nRvIOuP1lJcEEpU97vwtGVOCXfjjY:b3grE0b3xohvyg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111561:BIGkQk4gCISqPZAykQMFEICgW0AoRhnFaJEGDYBjBwZAIj0AfAoNoFAAQCApARQNI5AHUCeIYBgCCYWeUBMATRtiTSIHCCEQ

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:cfc3c3c3c3ffffff
Perceptual Hash:b931ce8e3333136c
Difference Hash:5116161e16060040
Wavelet Hash:00c3c3c3030fcf0f
Color Hash:#4062bf

Other Hashes

Crop Resistant:5116161e16060040

Scan History

Scan history not available

Unable to load historical scan data