Security Scan Report: begin-starts.ghost.io

Submitted: Feb 12, 2026, 3:38:54 AMCompleted: Feb 12, 2026, 3:40:29 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is begin-starts.ghost.io and was registered NaN years ago.

Submitted URL: https://begin-starts.ghost.io/bridge-new/

The Cisco Umbrella rank of the primary domain is #42,708 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No credential or payment forms
No detected malware
Domain age information unavailable

Details

Page Title

begin-starts.ghost.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain 'begin-starts.ghost.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'begin-starts'. The registrable portion 'ghost' spans 5 characters holding one vowel versus four consonants. Splitting it apart reveals 1 word: ghost. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://begin-starts.ghost.io/bridge-new/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:759 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
53%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.123.7Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz22bMy8Oldj:ChoC9JSqzzbs6o3Sj3gcrsy2eAN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184529:m8oEwbDgKGgIDAAImWBgBgYiqGIytCBA4BTSRlJiQDJB9mJQENmhTDwCAghOGowJQCQLw1iZRzfQC4RBAXFYAFAgATLJSAys

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#d2b079

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data