Security Scan Report: leading-white-l6vs9aecvr-egmzudfxpm.edgeone.app

Submitted: Mar 16, 2026, 11:00:51 PMCompleted: Mar 16, 2026, 11:02:16 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is leading-white-l6vs9aecvr-egmzudfxpm.edgeone.app and was registered NaN years ago.

Submitted URL: https://leading-white-l6vs9aecvr-egmzudfxpm.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: 95%

1
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No forms detected
No malicious Indicators of Compromise
No JavaScript malware patterns
Generic page title and content
Hosted on a known platform without suspicious activity
Domain age information unavailable

Details

Page Title

Surprise!

Scan Type

public

Language

🇮🇩

ID

(24% confidence)

Category

news media journalism

(54%)

Domain Information

You're looking at domain 'leading-white-l6vs9aecvr-egmzudfxpm.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'leading-white-l6vs9aecvr-egmzudfxpm'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. It segments into 2 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://leading-white-l6vs9aecvr-egmzudfxpm.edgeone.app/

Page Load Overview

0.73s
Total Load Time
3
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:24%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:24%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:93 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

news media journalism54% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
54%
phishing scam
43%
adult content
38%
healthcare medical
35%
gambling betting
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C951105646F3042016A7C49A3BF6B34039B1C103170BEA083E4CE3A54FCAB5698E77E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TOdh/Ad9JxTptJeTcQxOpAaP+OedhSYdfC9JvnLigb4ibim11qnm+fVd:T8hCR9tJe5Wi5dfCTLizibiRnZT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2721:AICggMAAAAEAEAAgAAAAQKgAALggACACMAYCEUACRAAJCwACCGEAACQAAAAQAAAAQAKABAAC0AEAQQGhQQBCAACEQAAAAABQ

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:ffffffe7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:0008000c0c000000
Wavelet Hash:0c0c0c04c4dcfcfc
Color Hash:#d22d4b

Other Hashes

Crop Resistant:0008000c0c000000

Scan History

Scan history not available

Unable to load historical scan data