Security Scan Report: female-gray-p0gd3g4xwp-i0togz5z3r.edgeone.app

Submitted: Mar 12, 2026, 7:18:52 AMCompleted: Mar 12, 2026, 7:20:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is female-gray-p0gd3g4xwp-i0togz5z3r.edgeone.app and was registered NaN years ago.

Submitted URL: https://female-gray-p0gd3g4xwp-i0togz5z3r.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Aku Milikmu - Dewa 19

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'female-gray-p0gd3g4xwp-i0togz5z3r.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'female-gray-p0gd3g4xwp-i0togz5z3r'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Splitting it apart reveals two 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://female-gray-p0gd3g4xwp-i0togz5z3r.edgeone.app/

Page Load Overview

0.59s
Total Load Time
4
HTTP Requests
1
Domains
12 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:90 chars
Detector Agreement:50%

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
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14421426740057E1AB16351A23E02E7812098CE97EB6B468224D7B56DD6CA163456A70D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hKACAeFvqSEIjX6D+u1Y1EGWUAdakUufegmFIKv:Ev0DfCErjBWgmy8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1279:AAAABQAIAhGICAAAAAAAAACAQEAACAAAAABAAAAAACAAAAIAACAAggIAQgQAABgAAAQEAEAAAAAAAAAAEAQiEBACAAAAAAAA

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:0103031b1b071f1f
Perceptual Hash:887722dd887722dd
Difference Hash:ef7fcff5b24ff7fd
Wavelet Hash:030707071f0f3f3f
Color Hash:#4c1f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data