Security Scan Report: closed-salmon-qebfb7wrrj-mv4o5wkcd5.edgeone.app

Submitted: Mar 29, 2026, 1:23:39 AMCompleted: Mar 29, 2026, 1:24:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is closed-salmon-qebfb7wrrj-mv4o5wkcd5.edgeone.app and was registered NaN years ago.

Submitted URL: https://closed-salmon-qebfb7wrrj-mv4o5wkcd5.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: 85%

2
Risk Score

Low risk; no malicious activity detected.

Risk Factors
Subdomain on edgeone.app hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation; no YARA malware patterns
No cross‑origin credential exfiltration detected
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

Special Birthday

Scan Type

public

Language

🇺🇸

English

(22% confidence)

Category

healthcare medical

(60%)

Domain Information

Domain 'closed-salmon-qebfb7wrrj-mv4o5wkcd5.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'closed-salmon-qebfb7wrrj-mv4o5wkcd5'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://closed-salmon-qebfb7wrrj-mv4o5wkcd5.edgeone.app/

Page Load Overview

0.66s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:22%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:22%
Script Type:Latin
Text Length:2,576 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical60% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
60%
documentation technical
60%
adult content
55%
phishing scam
46%
government public service
44%

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

T13D12E7E782035932915F86B335720B9278741600FF96ABB49EEC5246D3C0C76B71B7B6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lvePL7MK0fi+YA2Kw1lZg+oH5Nd38pCQCGQcQ+bpY4c2p7fUdJegrj1nLlki6yHJ:NO7Mjfi+YA2Kw1lZg+oH5Nd38pCQCGQ5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9328:hBBHShWLIJuIAECCIQFYPDkSGyAwhRCQ5gFVuTAmEIFDBW1QAMNg2gPAEmZRsIJyyEgAkzCwDQAhjhQi1gGkEgPAAEEiEHhy

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:e7e7a5e7ffffffdf
Perceptual Hash:f3239ccc8c633333
Difference Hash:0c0c4c0810000000
Wavelet Hash:42e7253dce8c9491
Color Hash:#b1e06c

Other Hashes

Crop Resistant:0c0c4c0810000000

Scan History

Scan history not available

Unable to load historical scan data