ScanMalware.com

Security Scan Report: startedapp.ghost.io

Redirected to: https://lmk-ekl-dzg-gzd-ees-rdc-wdu.netlify.app/

Submitted: Jan 5, 2026, 4:39:07 AMCompleted: Jan 5, 2026, 4:40:48 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is lmk-ekl-dzg-gzd-ees-rdc-wdu.netlify.app and was registered NaN years ago.

Submitted URL: https://startedapp.ghost.io/en-desktop/

Effective URL: https://lmk-ekl-dzg-gzd-ees-rdc-wdu.netlify.app/Redirected

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 with minimal reputation risk
No malicious Indicators of Compromise
No suspicious redirects or content
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'startedapp.ghost.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'startedapp'. Count 5 characters in 'ghost' with one vowel and 4 consonants. It segments into 1 word: ghost. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://startedapp.ghost.io/en-desktop/

Page Load Overview

20.29s
Total Load Time
11
HTTP Requests
3
Domains
80 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:312 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
563.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2104.16.174.226SwedenUnknown
2146.75.123.7UnknownUnknown
114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1796162A9C41A203F6D97681F13A4CA4D60297247DC9147D8FFEA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXE:TGHwyA2qlRYZJ3RoXIptM+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:ffffe7e7e7e7ffff
Perceptual Hash:b366cc9933649933
Difference Hash:00000c0c0c080000
Wavelet Hash:fcfce4e424243c3c
Color Hash:#4d3a78

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data