Security Scan Report: dead-yellow-qqiwobzrzl-7kg8c3ruya.edgeone.app

Submitted: Mar 9, 2026, 6:07:10 PMCompleted: Mar 9, 2026, 6:08:44 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 dead-yellow-qqiwobzrzl-7kg8c3ruya.edgeone.app and was registered NaN years ago.

Submitted URL: https://dead-yellow-qqiwobzrzl-7kg8c3ruya.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: 92%

2
Risk Score

No malicious activity detected; low risk but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
No credential or payment collection forms
Served over HTTPS (assumed from URL scheme)
Domain age information unavailable

Details

Page Title

Holi Wishes Bestie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'dead-yellow-qqiwobzrzl-7kg8c3ruya.edgeone.app' is registered with subdomain 'dead-yellow-qqiwobzrzl-7kg8c3ruya'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dead-yellow-qqiwobzrzl-7kg8c3ruya.edgeone.app/

Page Load Overview

8.16s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:831 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
38%
adult content
35%

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

T162F1B0B5C4832427714B91F7A02E8B0D15F54746F6631F98BABC13E8A780E50EB737A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Z+x2cLhRhimQOw9qK8dShxItlBJyZfImSSvZV3:Zk2cLhRhimpw9qK8dShxIDvyZx3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7549:DBeBgCoAAEAwBSiCUJBIGgtwDqgcIhYCEBAuArsCAEINQtIAlElUnBnFRGCSQjyRARiCIkRAg1kqAgFQABDhYCpZUIEAETQG

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:ffffffffffffffa5
Perceptual Hash:b3cc33cc33cc338c
Difference Hash:000000000000080c
Wavelet Hash:0f0f0f0f03033f27
Color Hash:#5393ac

Other Hashes

Crop Resistant:000000000000080c

Scan History

Scan history not available

Unable to load historical scan data