Security Scan Report: romaniomods-79x8p2ynwn.edgeone.app

Submitted: Apr 29, 2026, 12:42:59 PMCompleted: Apr 29, 2026, 12:44:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is romaniomods-79x8p2ynwn.edgeone.app and was registered NaN years ago.

Submitted URL: https://romaniomods-79x8p2ynwn.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: 78%

2
Risk Score

Low risk site with no malicious indicators; monitor for future changes.

Risk Factors
Unknown subdomain age (could be newly created)
Low Cisco Umbrella ranking
Hosted on a generic developer subdomain platform
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious scripts or obfuscation
No network IDS alerts or external malicious links
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

cryptocurrency blockchain

(91%)

Domain Information

The domain name 'romaniomods-79x8p2ynwn.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'romaniomods-79x8p2ynwn'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://romaniomods-79x8p2ynwn.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:626 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain91% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
91%
technology software
77%
documentation technical
69%
finance banking
48%
social media network
47%

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

T11FA26381EFF52FDC641F85445BBE7B3A26296043E88C858CB5AE0E709F45985F0BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqNxK2EYMyPtyrxeWKsUwQRkd:shNIMi+52EYM+qeWKsUwukd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21686:IAQKFlRABEEwHRkFKQGAgBEiKYUGASVhFZEFKRQZGnQCAeEolIAUwwFRVAdAQNKWgzCVpAgWCkUYFCiKqACyyCoSGlYKDgEj

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:9c1c3c3c1c3c3c2c
Perceptual Hash:dafc203c2cccc763
Difference Hash:3038783078787859
Wavelet Hash:dcbc3c3c3c3c3c0c
Color Hash:#1f4e93

Other Hashes

Crop Resistant:3038783078787859

Scan History

Scan history not available

Unable to load historical scan data