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Security Scan Report: nursing-red-nh2djr6qqp-cuj823yupt.edgeone.app

Submitted: May 16, 2026, 9:12:05 PMCompleted: May 16, 2026, 9:13:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is nursing-red-nh2djr6qqp-cuj823yupt.edgeone.app and was registered NaN years ago.

Submitted URL: https://nursing-red-nh2djr6qqp-cuj823yupt.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: 75%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
Potentially brand‑new subdomain
Safety Factors
No login or payment forms
No credential exfiltration observed
No malicious JavaScript or IDS alerts
Content appears to be a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(86%)

Domain Information

The domain 'nursing-red-nh2djr6qqp-cuj823yupt.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'nursing-red-nh2djr6qqp-cuj823yupt'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals 2 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://nursing-red-nh2djr6qqp-cuj823yupt.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
7 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:156 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical86% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
86%
healthcare medical
74%
finance banking
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5728384EFE51FDCA41FC0585FBE7B3A2629A003D44D858CB5AE0E709F84589B4BB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBQhrhThZhNhPXhnhDhXhbh1RaXQl:KrzhNK/lMHmGgdkqfBx/zVt59Rd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16682:IEGgwFUQLaNQNRx+AGWoiIICJAaizDBAHAAEMBYoaD4DUIEKDsA0hBKCQT8CJ0SI3TGVRAGmxESSBAuLIFIGiyoIvCzCgBEF

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:dab8619a699a61c7
Difference Hash:3030707070606000
Wavelet Hash:dcfcbc3c3c3c3c00
Color Hash:#ac9a53

Other Hashes

Crop Resistant:3030707070606000

Scan History

Scan history not available

Unable to load historical scan data