Security Scan Report: ghost-stack-1rmfq4mp4m.edgeone.app

Submitted: Apr 6, 2026, 11:45:29 PMCompleted: Apr 6, 2026, 11:46:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ghost-stack-1rmfq4mp4m.edgeone.app and was registered NaN years ago.

Submitted URL: https://ghost-stack-1rmfq4mp4m.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no malicious forms, IoC matches, or malware; only low ranking and unknown subdomain age, resulting in a low‑risk classification.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain on a hosting platform with unknown age
Safety Factors
No external links or cross‑origin requests
No network IDS alerts
No hidden password or payment fields
Content appears to be a technical/software page without phishing cues
Domain age information unavailable

Details

Page Title

GHOST STACK FINAL v7.0

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'ghost-stack-1rmfq4mp4m.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'ghost-stack-1rmfq4mp4m'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ghost-stack-1rmfq4mp4m.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
HTML Lang Attribute:id
Text Length:420 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
53%
cryptocurrency blockchain
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15522C66236F310719997A1A63BF7CB4A3A20E103D501D5687EAC57C0CF86D9199B379C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:g/xZ79Qcb9/BtXipX8s9r8zlpJ+6mZu71oJJM2WrHGKCzVlBpH0ntj:bS8P6mI1oJK2vlBmnd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10775:4lMBJAHvA0QkDhmIQQX9BUAJgJAhUVYAAdMEY2CZOGAO6A3AACgEqVCLKSDCAhSQACoAhcQGSMaGg0SC8heAaBQyCgIIBg3g

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:183c243c3c243c18
Perceptual Hash:c4cc3393996666d9
Difference Hash:f0f0ccf0f0cce0f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#d279bb

Other Hashes

Crop Resistant:f0f0ccf0f0cce0f0

Scan History

Scan history not available

Unable to load historical scan data