Security Scan Report: thorough-coral-xpznic5bhm-qfxifqus53.edgeone.app

Submitted: Jan 30, 2026, 7:36:57 AMCompleted: Jan 30, 2026, 7:38:20 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is thorough-coral-xpznic5bhm-qfxifqus53.edgeone.app and was registered NaN years ago.

Submitted URL: https://thorough-coral-xpznic5bhm-qfxifqus53.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
Absence of credential or payment collection forms
No malicious Indicators of Compromise matches
No brand impersonation detected in OCR text or page title
No external links or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government public service

(41%)

Domain Information

You're looking at domain 'thorough-coral-xpznic5bhm-qfxifqus53.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'thorough-coral-xpznic5bhm-qfxifqus53'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 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://thorough-coral-xpznic5bhm-qfxifqus53.edgeone.app/

Page Load Overview

5.58s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:66 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service41% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
41%

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

T11B02C6CAFBA305C9A82BC4782FFB5725222DE017C448CD5DBA9E1F548F4518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBwh1RaXQl:KrzhNK/lMHmGgdkqhd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8798:ICUD1nACBSMQNBUcAU3AhQIiaQaEDQRAMFALCCALyDKQAIEIDMR0xxOhKZcCANaQgTicVQAmTEFaBghhAAJGCCqCOCaegAEF

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#352dd2

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data