Security Scan Report: injured-silver-zfbjici89n-76hn8hjaj4.edgeone.app

Submitted: Mar 5, 2026, 5:24:43 AMCompleted: Mar 5, 2026, 5:26:10 AMpubliccompleted
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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 injured-silver-zfbjici89n-76hn8hjaj4.edgeone.app and was registered NaN years ago.

Submitted URL: https://injured-silver-zfbjici89n-76hn8hjaj4.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

Happy Birthday Aslam Fakhri HK

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

adult content

(82%)

Domain Information

The domain name 'injured-silver-zfbjici89n-76hn8hjaj4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'injured-silver-zfbjici89n-76hn8hjaj4'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. It segments into 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://injured-silver-zfbjici89n-76hn8hjaj4.edgeone.app/

Page Load Overview

5.48s
Total Load Time
2
HTTP Requests
1
Domains
6 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:388 chars
Detector Agreement:33%

Website Classification

Primary Category

adult content82% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
82%
documentation technical
45%
finance banking
43%

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

T17CE153608AB315277813A1A52BF797092674E107C50ACF683BDDE31C8FC5DD4A993398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:h1YuCl/A6VbPVTiUfuEx6eJIg5yDqlk8c7voaNL0v6UZGMj:hmuE/A6VbPVTiUZJUqlk8c7vv0vpZGMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7178:QFloAgTggPCMGEEOwGEBIBwgNBBxBFpgDSIEH4AgEaAARAFBARkEIxAsEIQYTgIZIAgXGHCLwYAy0AAIACFhETGOHICACkCI

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:0018181818181800
Perceptual Hash:993366cc33999966
Difference Hash:0c30b27070b2300c
Wavelet Hash:003c3c3c3c3c3cff
Color Hash:#e08b6c

Other Hashes

Crop Resistant:0c30b27070b2300c

Scan History

Scan history not available

Unable to load historical scan data