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Security Scan Report: forthcoming-silver-edscri92xu-r2yuy6hkvq.edgeone.app

Submitted: Mar 24, 2026, 5:32:41 PMCompleted: Mar 24, 2026, 5:33:52 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is forthcoming-silver-edscri92xu-r2yuy6hkvq.edgeone.app and was registered NaN years ago.

Submitted URL: https://forthcoming-silver-edscri92xu-r2yuy6hkvq.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: 92%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
Hosted on a known developer platform (edgeone.app) with no suspicious activity
Page title and OCR text indicate a generic file collection, not a phishing lure
No external links or redirects
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(32%)

Domain Information

The domain 'forthcoming-silver-edscri92xu-r2yuy6hkvq.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'forthcoming-silver-edscri92xu-r2yuy6hkvq'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Segmentation suggests 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://forthcoming-silver-edscri92xu-r2yuy6hkvq.edgeone.app/

Page Load Overview

0.35s
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:95 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical32% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
32%
healthcare medical
30%
news media journalism
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F712D8CAEBE706C8682BC4692FFF6325222DE053D449C95DB99E0F548F0518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBC/h5Ih1RaXQl:KrzhNK/lMHmGgdkqXEd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9664:YIWG1nQCBRMQNDUUBU2AlAAiCAXGDT4AMFANMAMCjDFQAIGoIMQ0wyKASYcCBMaAgTicVQDmSMBajQlJAAImCC5CeCaWBCUh

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#40bfa6

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data