Security Scan Report: usual-salmon-9oymllsfjf-jrbaz61ka2.edgeone.app

Submitted: Mar 26, 2026, 9:00:51 PMCompleted: Mar 26, 2026, 9:02:04 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is usual-salmon-9oymllsfjf-jrbaz61ka2.edgeone.app and was registered NaN years ago.

Submitted URL: https://usual-salmon-9oymllsfjf-jrbaz61ka2.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 suspicious activity detected; site appears legitimate.

Safety Factors
Hosted on known platform edgeone.app
No credential or payment collection fields
No redirects or cross‑origin requests
Page title and OCR text indicate a simple file collection page
Low JavaScript obfuscation, typical of benign minified code
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(65%)

Domain Information

The domain 'usual-salmon-9oymllsfjf-jrbaz61ka2.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'usual-salmon-9oymllsfjf-jrbaz61ka2'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://usual-salmon-9oymllsfjf-jrbaz61ka2.edgeone.app/

Page Load Overview

0.65s
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:72 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical65% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
65%
documentation technical
57%
news media journalism
45%
education learning
44%
government public service
43%

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

T10512C7C9EBE306C8A81BC4682FFF5325222DE053D449C94DB9AE0F548F4518875FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBMhgh1RaXQl:KrzhNK/lMHmGgdkqtGd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9599:IgUC9nQCDZMQPJUeIU2knBCyCACkDQwAMlIJhgBKiDEwAYFMAMW2wwqACbcCAMbQgTq9VQAmSERaBEhJBBImKToCPWaWAGGh

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:da9a982c6d65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#c579d2

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data