Security Scan Report: burning-plum-dr9zkio1jw-n3w6tkvb5d.edgeone.app

Submitted: Mar 4, 2026, 2:02:06 PMCompleted: Mar 4, 2026, 2:03:50 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is burning-plum-dr9zkio1jw-n3w6tkvb5d.edgeone.app and was registered NaN years ago.

Submitted URL: https://burning-plum-dr9zkio1jw-n3w6tkvb5d.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

No malicious activity observed, but unknown subdomain age warrants caution

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No external domains referenced
Domain age information unavailable

Details

Page Title

For My Dear Sister

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'burning-plum-dr9zkio1jw-n3w6tkvb5d.edgeone.app' is registered and includes subdomain 'burning-plum-dr9zkio1jw-n3w6tkvb5d'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Word splitting yields 2 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://burning-plum-dr9zkio1jw-n3w6tkvb5d.edgeone.app/

Page Load Overview

5.57s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:ur
Text Length:697 chars
Detector Agreement:100%
Language mismatch: Declared as ur but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T1BE4231F245231425812B67B2369E0B0929B4D643F747CD39B6FC264DCF82D48AB973B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:xrD1zDdpF1yLN924QHUx5U8/P/RYQxTTezkM18SUvSa7FbS8hR:vDdpF1yLN924QH25U8/P/RYQxTTezkM8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12763:EBCrkSBwKEyFEhAhoC7ezGEBvigYa0B0GIBEhKcTECcXkBMFAZkBIAAWrjNACWMBpgEQCCwCCaAAVyeVoFCwiyUgImBZrZnC

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:1c3c3c3c3c3c3c18
Perceptual Hash:d49d2662989d7365
Difference Hash:f0f0f0f0f0e8f0f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#e09a6c

Scan History

Scan history not available

Unable to load historical scan data