Security Scan Report: present-azure-gwy0cw9ftj-o5gfy68bh1.edgeone.app

Submitted: Mar 7, 2026, 1:27:09 AMCompleted: Mar 7, 2026, 1:28:29 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is present-azure-gwy0cw9ftj-o5gfy68bh1.edgeone.app and was registered NaN years ago.

Submitted URL: https://present-azure-gwy0cw9ftj-o5gfy68bh1.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

Low risk site; no malicious indicators detected, but subdomain is new and low‑ranked.

Risk Factors
Subdomain on hosting platform with unknown age
Low ranking in Cisco Umbrella (outside top 100 k)
Right‑click disabled via JavaScript
Safety Factors
HTTPS connection
No credential or payment collection forms
No malicious Indicators of Compromise
No external links or redirects
Domain age information unavailable

Details

Page Title

મારા ઘર ખર્ચ હિસાબ - Ajay

Scan Type

public

Language

🇮🇳

GU

(80% confidence)

Category

finance banking

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'present-azure-gwy0cw9ftj-o5gfy68bh1.edgeone.app' is registered; it also runs on subdomain 'present-azure-gwy0cw9ftj-o5gfy68bh1'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://present-azure-gwy0cw9ftj-o5gfy68bh1.edgeone.app/

Page Load Overview

0.86s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇮🇳Gujarati
Code: gu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:gu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:gu
Text Length:812 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking71% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
71%
adult content
50%
documentation technical
26%

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

T1AC92216251F5397010D640F25ADF9B4D2EA9E213C71AAA1436FC5ED04FCBC01ACEB5EA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YWGfcbcmp9R63ou/QDTClLMKxy4Jb8lOIurOTzOv3YOEPOGnO6eO72Oi/O8cOV6U:FB8SpqGBYS6KyB88RMQPSQLGQpggJgY1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21228:gSS4QQoBgLBIAKimJEDAAjPhFB7MEUpIxgsGcQIvIEAo1i1YDwCAB5hTNiKDOObCuEIZBA1FrYJAcI9gACghEQVURQGgAQRy

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:0080be9c9ebc9c9e
Perceptual Hash:9e636363329a999c
Difference Hash:0e0a202820282828
Wavelet Hash:00009e9f1f3f1f1f
Color Hash:#5354ac

Other Hashes

Crop Resistant:0e0a202820282828

Scan History

Scan history not available

Unable to load historical scan data