Security Scan Report: gemenilogenn.gitbook.io

Redirected to:
https://gemenilogenn.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://gemenilogenn.gitbook.io/

Effective URL:
https://gemenilogenn.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

Within the British Indian Ocean Territory country-code top-level domain (.io), 'gemenilogenn.gitbook.io' is registered; it also runs on subdomain 'gemenilogenn'. The second-level label 'gitbook' is 7 characters long containing three vowels alongside 4 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://gemenilogenn.gitbook.io/

Page Load Overview

2.13s
Total Load Time
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Text Length:35 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T1DCC012B6D525440E9A712AFCCE8678A45EA4910CC1355E4069E4E5B4A849EA785833D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYgK7bRLLNguFWQnBAh0qa:qzxV/5VHHoB96D3ne1k9YgK71fNDXnBf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:59704d9a425348e82a95a180c947c7a2

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:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#b3d279

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data