Security Scan Report: taylorswiftjump-29l7j73xc7.edgeone.app

Submitted: Feb 21, 2026, 1:59:39 PMCompleted: Feb 21, 2026, 2:01:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is taylorswiftjump-29l7j73xc7.edgeone.app and was registered NaN years ago.

Submitted URL: https://taylorswiftjump-29l7j73xc7.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 security concerns detected; site appears legitimate.

Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise
Low JS obfuscation (normal minification)
Hosted on edgeone.app platform without suspicious activity
Domain age unknown but no suspicious behavior observed
Domain age information unavailable

Details

Page Title

taylorswiftjump-29l7j73xc7.edgeone.app

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'taylorswiftjump-29l7j73xc7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'taylorswiftjump-29l7j73xc7'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://taylorswiftjump-29l7j73xc7.edgeone.app/

Page Load Overview

1.16s
Total Load Time
3
HTTP Requests
1
Domains
9 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
Text Length:27 chars
Detector Agreement:100%

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

T119048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszq2bMy8Oldm:LhoC9JSqzzbs6o3Sj3gcrsW2eAU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184581:grsJJ1gwQkAcDaZIlQEIjyFEhYVqAjKLAACzA66LBrUCgiIoYEAi2KzsBhDCSho2AhQgFIigTAY7E0agYIQACBBIADYFAZ5L

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#57931f

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data