Security Scan Report: far-coral-ovansqy8uj-yl3ctjgosj.edgeone.app

Submitted: Apr 6, 2026, 12:26:43 AMCompleted: Apr 6, 2026, 12:27:49 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is far-coral-ovansqy8uj-yl3ctjgosj.edgeone.app and was registered NaN years ago.

Submitted URL: https://far-coral-ovansqy8uj-yl3ctjgosj.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: 80%

1
Risk Score

No malicious activity detected; low risk but new subdomain on free hosting.

Safety Factors
No forms or password fields present
No malicious Indicators of Compromise
No JavaScript malware patterns
No network IDS alerts
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(70%)

Domain Information

You're looking at domain 'far-coral-ovansqy8uj-yl3ctjgosj.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'far-coral-ovansqy8uj-yl3ctjgosj'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://far-coral-ovansqy8uj-yl3ctjgosj.edgeone.app/

Page Load Overview

0.34s
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:420 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
70%
cryptocurrency blockchain
58%
healthcare medical
55%
news media journalism
49%
technology software
44%

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

T16062B788DFE54BCD641FC0285BAFAB3A6634A043D45CC58CB9AE0F649F48585B0FB574

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBth+XhihqhShGh2hUbnh1RaXQl:KrzhNK/lMHmGgdkqSKsskgQGbnd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15452:IAxCCXI0BxcQcCQgAyGAwAAigAAOCYEggIAPIgBLmLYQSJlagsE0hxAAGYVNoYeABQ2WxawkQEjYBChAaQYuIKJAMCZKgNUB

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:dcfcfcfcfc3c0000
Perceptual Hash:da9c6c9a31659365
Difference Hash:3030785858580000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#d2932d

Other Hashes

Crop Resistant:3030785858580000

Scan History

Scan history not available

Unable to load historical scan data