Security Scan Report: geuminilogzw.gitbook.io

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

Effective URL:
https://geuminilogzw.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 'geuminilogzw.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'geuminilogzw'. Count 7 characters in 'gitbook' holding three vowels versus 4 consonants. Splitting it apart reveals three words: g, it, book. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

This content has been detected as spam and suspended

Page Load Overview

1.14s
Total Load Time
1 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:N/A

Other Hashes

Crop Resistant:4000000000000000

Scan History

Scan history not available

Unable to load historical scan data