Security Scan Report: symbolic-gray-r6rnqu5tjh-r4a5o1z1pf.edgeone.app

Submitted: Nov 21, 2025, 9:33:23 AMCompleted: Nov 21, 2025, 9:35:43 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 symbolic-gray-r6rnqu5tjh-r4a5o1z1pf.edgeone.app.

Submitted URL: https://symbolic-gray-r6rnqu5tjh-r4a5o1z1pf.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

No malicious indicators detected, but low ranking and unknown age warrant caution.

Safety Factors
No malicious Indicators of Compromise matches found
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

news media journalism

(31%)

Domain Information

The domain name 'symbolic-gray-r6rnqu5tjh-r4a5o1z1pf.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'symbolic-gray-r6rnqu5tjh-r4a5o1z1pf'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Segmentation suggests 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://symbolic-gray-r6rnqu5tjh-r4a5o1z1pf.edgeone.app/

Page Load Overview

0.12s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:50 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism31% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
31%

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

T1A402B5CAEB9306C9A82BC4682FFF5724222DE057C448CD5DB99E1F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBVh1RaXQl:GrzhNK/lMHmGgdkqKd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8678:gpQiGIRwzCIVEtIjAUSQA6BhtKQBABb1hFYEBBEzEsBVzCJAUgAbAkAkzdaAo1XCBBDAAQDMGwSoJSAIYIh2KiRkQQKMIA2E

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data