Security Scan Report: geiminilogoniio.gitbook.io

Redirected to:
https://geiminilogoniio.gitbook.io/us
Response type:Plain texttext/plainHTTP 403The server returned plain text, not a web page. The screenshot shows the text as a browser displays it.
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is gitbook.io and was registered 12 years ago.

Submitted URL: https://geiminilogoniio.gitbook.io/

Effective URL:
https://geiminilogoniio.gitbook.io/us
Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'geiminilogoniio.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'geiminilogoniio'. The core label 'gitbook' covers 7 characters containing 3 vowels alongside four consonants. Splitting it apart reveals three words: g, it, book. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geiminilogoniio.gitbook.io/

Page Load Overview

0.31s
Total Load Time
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Text Length:52 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam99% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
99%
social media network
46%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.64.147.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.40.47Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
52--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105D022B7C822440E9B3026FCCA8278A0CA00910CD1325F9075D0D2E8B88AEA3C0932D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9YVC7jBYLixnBAh8:kxV7HdBWuBYLif

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:57e6565f9145978ea48854983ee2a600

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:4000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#b3d279

Other Hashes

Crop Resistant:4000000000000000

Scan History

Scan history not available

Unable to load historical scan data