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Security Scan Report: hostile-rose-ojdv46rixf-8v4ydi9w2c.edgeone.app

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Submitted: May 6, 2026, 8:17:18 AMCompleted: May 6, 2026, 8:18:41 AMpubliccompleted
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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 hostile-rose-ojdv46rixf-8v4ydi9w2c.edgeone.app and was registered NaN years ago.

Submitted URL: https://hostile-rose-ojdv46rixf-8v4ydi9w2c.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

Low risk site; no malicious indicators detected, likely a benign development page.

Risk Factors
Subdomain on a hosting platform with unknown age
Low domain ranking (outside top 100K) without brand context
Safety Factors
No forms or credential fields present
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

শুভ জন্মদিন আহনা!

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

The domain 'hostile-rose-ojdv46rixf-8v4ydi9w2c.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'hostile-rose-ojdv46rixf-8v4ydi9w2c'. The second-level label 'edgeone' is 7 characters long 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://hostile-rose-ojdv46rixf-8v4ydi9w2c.edgeone.app/

Page Load Overview

0.89s
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:161 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
47%
news media journalism
31%
adult content
26%
finance banking
26%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
345.43.142.6United Kingdom
AS16276OVH SAS
343.152.26.58Singapore
AS139341ACE
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C051652322EB11329493C8E47B4293982A929D83D312C75C7DDE1448DF4CDB899E36F4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:c38m7bTmafFsLpIe1LfYyaQXJUlsu87TcokEMMEgH0sI3X5CwIP8:7m7bT7FsLpIe1LYyaQXJU1UTnRMMEgUX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3014:AJ0BAmCAkDAAIADAIAAQkoAAAgIAABIICABgCAIEAIhgBCgAEECAAAACCBRAAEoACAYgAACCIAAYAATAAAFhBGIAAEEAAGQB

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:a66699999966cc66
Difference Hash:304d4d4d4d300c00
Wavelet Hash:f3e3e3e3c0c0c0c0
Color Hash:#2d5c86

Other Hashes

Crop Resistant:304d4d4d4d300c00

Scan History

Scan history not available

Unable to load historical scan data