Security Scan Report: ancient-gray-9opkjmokym-smpnrvww25.edgeone.app

Submitted: Apr 13, 2026, 1:47:25 AMCompleted: Apr 13, 2026, 1:48:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is ancient-gray-9opkjmokym-smpnrvww25.edgeone.app and was registered NaN years ago.

Submitted URL: https://ancient-gray-9opkjmokym-smpnrvww25.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: 80%

2
Risk Score

Low risk site with no malicious activity detected; likely safe but subdomain age is unknown.

Risk Factors
Subdomain age unknown (could be newly created)
Low domain ranking (outside top 100K)
Safety Factors
No forms or payment fields present
No credential exfiltration or suspicious JavaScript behavior
No external links or redirects
Content appears to be a simple file collection listing
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(79%)

Domain Information

Domain 'ancient-gray-9opkjmokym-smpnrvww25.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ancient-gray-9opkjmokym-smpnrvww25'. Count 7 characters in 'edgeone' split between four vowels and three consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ancient-gray-9opkjmokym-smpnrvww25.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
3 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:149 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
cryptocurrency blockchain
31%
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

T1A86283C5EFF51ACCA41BC4555FBE6B3A2629A003E44C858CB5AE0FB09F44585B4FB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBuhuh3hkhZhnhBh0XhHh1RaXQl:KrzhNK/lMHmGgdkqjwFm3tPcFd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15812:cBQaGHUwLZNwOMSGCQGCgAQCgQEOLwVgFAoJAAIijikUAIEcoaA0oyAQWQVAQo6AAQ22QwEgTO14JAxIYAIm4aeAPzYCBEkD

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:9c9c3c3c3c3c3c00
Perceptual Hash:da98619a68c3c767
Difference Hash:3030707070606000
Wavelet Hash:dcfcbc3c3c3c3c00
Color Hash:#abc587

Other Hashes

Crop Resistant:3030707070606000

Scan History

Scan history not available

Unable to load historical scan data