Security Scan Report: invitationbyashik-gtc99zao5f.edgeone.app

Submitted: Mar 15, 2026, 1:34:50 AMCompleted: Mar 15, 2026, 1:36:01 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is invitationbyashik-gtc99zao5f.edgeone.app and was registered NaN years ago.

Submitted URL: https://invitationbyashik-gtc99zao5f.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: 88%

2
Risk Score

No malicious activity detected; low risk.

Risk Factors
Newly created subdomain on a free hosting platform (edgeone.app)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware signatures
No suspicious external links
No brand or trademark misuse
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(44%)

Domain Information

The domain name 'invitationbyashik-gtc99zao5f.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'invitationbyashik-gtc99zao5f'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://invitationbyashik-gtc99zao5f.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:59 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism44% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
44%
government public service
34%
real estate property
31%
documentation technical
29%
healthcare medical
28%

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

T1E012B8C9EBE306C8A81BC4682FFF6725222DE053D848C95DB99E1F548F4518475FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBFh4h1RaXQl:KrzhNK/lMHmGgdkq+2d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9558:JAUC1nACBQcQNRWUAU2IhBE6CICEDQRBNFAJIBAqiLEQAaE4IMQ0wwvACYcGAtaEgTicVQImSEhaDAhBAAouSCoKOCeWEAEj

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:dcfcfcf0e0e0c0c0
Perceptual Hash:de9a98386961c3c7
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#ac8253

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data