Security Scan Report: dibaca-yaa-h832vy3fwr.edgeone.app

Submitted: Feb 21, 2026, 1:30:21 PMCompleted: Feb 21, 2026, 1:31:42 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dibaca-yaa-h832vy3fwr.edgeone.app and was registered NaN years ago.

Submitted URL: https://dibaca-yaa-h832vy3fwr.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: 92%

0
Risk Score

No security concerns detected; the site appears benign.

Safety Factors
No credential or payment collection fields
Hosted on a known free hosting platform without suspicious activity
Page content could not be fetched but no error indicates malicious behavior
Domain age information unavailable

Details

Page Title

dibaca-yaa-h832vy3fwr.edgeone.app

Scan Type

public

Language

🏳️

SO

(29% confidence)

Category

adult content

(72%)

Domain Information

You're looking at domain 'dibaca-yaa-h832vy3fwr.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'dibaca-yaa-h832vy3fwr'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dibaca-yaa-h832vy3fwr.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🏳️SO
Code: so
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:so
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:169 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as so

Website Classification

Primary Category

adult content72% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
72%
news media journalism
44%
healthcare medical
37%
government public service
27%

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

T13D048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz+MZeS5f/8xl2bMy8OldI:bhoC9JSqzzbs6o3Sj3gcrsE2eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184556:EAkIDRiyIHAMUgJ2DhkGAECCWUYxsIpaMZaaFSyC4SMCmKqpZQTSAWYAYoZQRAASCCBJxoCIASMSEJ5gYAHQGKSA7B4CDQCk

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#783a55

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data