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Security Scan Report: my-expenses-dpz69ql8zhvf.edgeone.dev

Submitted: Sep 13, 2026, 2:04:41 AMCompleted: Sep 13, 2026, 2:05:02 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Self-branded Arabic expense-tracker app on a free edgeone.dev subdomain with its own login/register form. No impersonation, no exfiltration, no malware or IDS hits; only generic IP reputation tags. Caution due to unverifiable hosting.

Risk Factors (2)
Credential-collecting login/registration form on an anonymous free-hosting subdomain whose actual creation date cannot be verified
Inline scripts use encoding/decoding functions (common in legitimate apps, but unverified here)
Safety Factors (7)
Self-branding: page title/header match its own domain, not another entity's brand
No brand impersonation of any other organisation
No cross-origin credential forms and no detected credential exfiltration (0 external JS network targets)
No payment/card fields collected
No YARA malware patterns, no high-precision YARA hits, no known malicious kit in roster
No network-level IDS alerts
Threat-intel entries are generic abuse-reputation only, not content malware
Domain age information unavailable

Details

Page Title

My Expenses - Apple Glass Financials

Scan Type

public

Domain Name Analysis

The domain 'my-expenses-dpz69ql8zhvf.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'my-expenses-dpz69ql8zhvf'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields two 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://my-expenses-dpz69ql8zhvf.edgeone.dev/

Page Load Overview

0.45s
Total Load Time
10 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:ar
Text Length:2,011 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking77% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
77%
documentation technical
73%
technology software
69%
adult content
48%
e-commerce shopping
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.174.246.29Singapore
AS139341ACE
143.174.247.29Singapore
AS139341ACE
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18503B65225F314710293A56EA6E39709FE749D03D64BFC203D9E16908FCBC52E1BB6B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DH/g6ct7fHrPJ6T9+L8jV7Fd1v0XVYDPRpgFv9Be:DH/gD7/rge8jV7Ffv0XVYDPE9M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39519:GMypFYBAEJCEEb1AuEIDMQnUSAmAQwBiVSgwFBhZgAIBogkAzJMChRcaBaFISA0D4ZsBxACVgFCIQyEAkcAAGyNukXOVliAB

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:0307ff1918180000
Perceptual Hash:88a2671d0977dcdc
Difference Hash:b3cbb1b3b3b20911
Wavelet Hash:7fffff1b19180000
Color Hash:#776ce0

Other Hashes

Crop Resistant:b3cbb1b3b3b20911

Scan History

Scan history not available

Unable to load historical scan data