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Security Scan Report: holy-chocolate-hep3qyvvd4-54ceda1qv5.edgeone.app

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Submitted: May 2, 2026, 9:43:50 PMCompleted: May 2, 2026, 9:45:10 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is holy-chocolate-hep3qyvvd4-54ceda1qv5.edgeone.app and was registered NaN years ago.

Submitted URL: https://holy-chocolate-hep3qyvvd4-54ceda1qv5.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

Site shows no malicious activity, no forms, and unknown subdomain age; low risk but unknown age suggests caution.

Risk Factors
Low domain ranking (455,732)
Unknown subdomain creation date
Safety Factors
No credential collection or payment forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
No network IDS alerts
Domain age information unavailable

Details

Page Title

শুভ জন্মদিন আহনা!

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

healthcare medical

(40%)

Domain Information

Within the application-focused generic top-level domain (.app), 'holy-chocolate-hep3qyvvd4-54ceda1qv5.edgeone.app' is registered; it also runs on subdomain 'holy-chocolate-hep3qyvvd4-54ceda1qv5'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three 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://holy-chocolate-hep3qyvvd4-54ceda1qv5.edgeone.app/

Page Load Overview

0.64s
Total Load Time
6
HTTP Requests
2
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bn
Text Length:167 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical40% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
345.43.142.8United Kingdom
AS16276OVH SAS
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18551761226EF11329493C8E47B4293A86A929D83D302CB5C7DDE1548DF4CDF99DA3AF4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:7m7bT7FsLpIe1LYyaQXJU57CTnRMMEgdR3pCwIP8:7m7bT7SLp9pYvQXJaCTnY2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3135:QMwBBGgIkQAEIAFAMAAQkICAAAgDKBgAAABgAyME0AAABAoACAACIAgCCBBAEEYACAAAAACCIICYAAjQAgIBCGICAEAAIGAB

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:ffe7e7e7e7ffe7ff
Perceptual Hash:e66689999966cc66
Difference Hash:304d4d4d4d300c10
Wavelet Hash:d3c3c3c3c4c4c4dc
Color Hash:#d2ca2d

Other Hashes

Crop Resistant:304d4d4d4d300c10

Scan History

Scan history not available

Unable to load historical scan data