Security Scan Report: taylorswiftdash-jnsukrniyf.edgeone.app

Submitted: Feb 23, 2026, 9:49:56 PMCompleted: Feb 23, 2026, 9:51:26 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is taylorswiftdash-jnsukrniyf.edgeone.app and was registered NaN years ago.

Submitted URL: https://taylorswiftdash-jnsukrniyf.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; the site appears legitimate.

Safety Factors
Hosted on edgeone.app (known hosting platform)
No credential or payment fields present
No external domains or cross‑origin requests
No redirects or URL manipulation detected
Domain age information unavailable

Details

Page Title

Hippo Dash

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'taylorswiftdash-jnsukrniyf.edgeone.app' is registered; it also runs on subdomain 'taylorswiftdash-jnsukrniyf'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Breaking it apart gives 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://taylorswiftdash-jnsukrniyf.edgeone.app/

Page Load Overview

0.70s
Total Load Time
3
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:19 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187A1E10D1277611594A3B5BA57AB7118B77050032707EF48FD0FB30C4FAC46F8AA7AA6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:makJCHtmyBnZLYOIGz3z5reht0l0gJVyEg23tvasJQgFOH0aRlNKzFRlNohJFvRa:makJCHUyo0lxtv4yUhx0Dj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4730:AAEQUCEQABAHbAAAATgQgBAABJACQBZTAAgEUABCUxBKGJBFBDAAKAAwEmAOiABMCRAAwCEAAAgKIIBAoAQgDtgACQJwAAAB

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:00000000ffffffff
Perceptual Hash:fe7cfc7cf8700080
Difference Hash:0000000000000000
Wavelet Hash:00000000ffffffff
Color Hash:#d27992

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data