Security Scan Report: modeel-dpuxqwbcglha.edgeone.app

Submitted: Jul 2, 2026, 2:50:20 AMCompleted: Jul 2, 2026, 2:52:25 AMpubliccompleted
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Summary

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

Submitted URL: https://modeel-dpuxqwbcglha.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk; no evident malicious activity despite unknown subdomain age.

Risk Factors
Unknown subdomain age (could be newly created)
Cross‑origin request to api.ipify.org (common but noted)
Safety Factors
No forms collecting credentials or payment data
No malicious IoC or YARA detections
No IDS alerts indicating phishing or malware
Domain age information unavailable

Details

Page Title

MAIL

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

unknown

(0%)

Domain Information

The domain 'modeel-dpuxqwbcglha.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'modeel-dpuxqwbcglha'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Splitting it apart reveals 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://modeel-dpuxqwbcglha.edgeone.app/

Page Load Overview

5.69s
Total Load Time
1
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:176 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
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C92C726267704296657E4BD37FB27053120D0136646DD59BEAC838C8F9AF91A8B33CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3gWQW3eFUFOGh558L5m6vXzW9GKDX0LsdsophS:9r3eFUFOGho1yysdst

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20808:GAOLMRUAmdwHAVYDpgQCDUVkyJJI0EY4IwSm4RxYQWIDAThCQokDDizlooLgCtQDoBQNYAYgCTAOlmIqAJq5DwKMAnwiBBhK

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:00ffffffffffef00
Perceptual Hash:cc1973665919666e
Difference Hash:314cb2b2b2340a24
Wavelet Hash:00fc1c1cfcfcff00
Color Hash:#6ce09c

Other Hashes

Scan History

Scan history not available

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