Security Scan Report: med-observe-and-symptom-system-tkhx0tapx0.edgeone.dev

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Submitted: May 20, 2026, 10:36:45 AMCompleted: May 20, 2026, 10:38:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 12 HTTP transactions. The main domain is med-observe-and-symptom-system-tkhx0tapx0.edgeone.dev and was registered NaN years ago.

Submitted URL: https://med-observe-and-symptom-system-tkhx0tapx0.edgeone.dev/500.html

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site shows moderate risk due to an unknown‑age subdomain and highly obfuscated JavaScript, but lacks forms, IoCs, or malware indicators.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Heavy JavaScript obfuscation
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No network IDS alerts
No external malicious links
Domain age information unavailable

Details

Page Title

500: This page couldn’t load

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

news media journalism

(50%)

Domain Information

You're looking at domain 'med-observe-and-symptom-system-tkhx0tapx0.edgeone.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'med-observe-and-symptom-system-tkhx0tapx0'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://med-observe-and-symptom-system-tkhx0tapx0.edgeone.dev/500.html

Page Load Overview

9.47s
Total Load Time
11
HTTP Requests
1
Domains
156 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
50%
government public service
43%
documentation technical
42%
technology software
40%
healthcare medical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.174.247.29Singapore
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A224212F605FD0FEDAA695D103EAD2FB088A82B8F70897633CCD99553414B94F99DC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:A1FQNnHw91x1e1l1e1I15hogJ2b+t6Gevqn11T5gopi46R:A1FW41x1e1l1e1I1WiH1fgoc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10578:yTxADAphaGgAVnoQgJijNJiA0GQAtwFAoYAUyM2qMEMEBEJwDlgWigNBEBYFOHCkYJEBAEFSHkJ5iBAUwKDQAKycIhG1V2Uw

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:ffffffe7c7ffffff
Perceptual Hash:b3cccc3333cccc31
Difference Hash:0000000c5c000000
Wavelet Hash:3f3f3f27040c0c0c
Color Hash:#c587c5

Other Hashes

Crop Resistant:0000000c5c000000

Scan History

Scan history not available

Unable to load historical scan data