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

Submitted: May 16, 2026, 8:48:34 PMCompleted: May 16, 2026, 8:49:42 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-zxnofuajcn.edgeone.app and was registered NaN years ago.

Submitted URL: https://nursing-red-nh2djr6qqp-zxnofuajcn.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: 72%

2
Risk Score

Low risk site with no malicious activity detected; likely a benign file collection page.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain age unknown, treated as potentially new
Safety Factors
No malicious scripts or obfuscation detected
No external links or cross‑origin credential submissions
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

(84%)

Domain Information

The domain name 'nursing-red-nh2djr6qqp-zxnofuajcn.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nursing-red-nh2djr6qqp-zxnofuajcn'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Breaking it apart gives 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-zxnofuajcn.edgeone.app/

Page Load Overview

0.44s
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:168 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical84% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
84%
healthcare medical
71%
finance banking
32%

Detected Features

No structural features detected

Domain & IP Information

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

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C727284EFE51FDCA41FC0585BBE7B3A2A29A003E44D858CB5AE0E709F84585F4BB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBQhrhThZhfhNh0XhnhDhXhbh1RaXQl:KrzhNK/lMHmGgdkqfBx/VzQt59Rd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17563:ZAUD3gAWJFdwPiUyASyoVCACKEJkQYwgElAHAVZqIDKQQIIqgsBEwFIhyYc+MsIChQ2axCEmSMjSBigjKEAu4D5CLiZcgaVA

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:9c1c3c3c3c3c3c3c
Perceptual Hash:dab8619c699a61c7
Difference Hash:3030707070606060
Wavelet Hash:9cbc3c3c3c3c3c1c
Color Hash:#30862d

Other Hashes

Crop Resistant:3030707070606060

Scan History

Scan history not available

Unable to load historical scan data