Security Scan Report: kisses-y4xda6clqw.edgeone.app

Submitted: Feb 12, 2026, 7:33:34 AMCompleted: Feb 12, 2026, 7:34:59 AMpubliccompleted
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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 kisses-y4xda6clqw.edgeone.app and was registered NaN years ago.

Submitted URL: https://kisses-y4xda6clqw.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain age
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

kisses-y4xda6clqw.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(33%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kisses-y4xda6clqw.edgeone.app' is registered and includes subdomain 'kisses-y4xda6clqw'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Breaking it apart gives two 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://kisses-y4xda6clqw.edgeone.app/

Page Load Overview

5.63s
Total Load Time
5
HTTP Requests
1
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:249 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical33% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldK:MhoC9JSqzzbs6o3Sj3gcrsg2eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184536:pkIEzmk80oCUQFASSUQiJAkBMF5JgIAYkkJUogiGQBENaIKAQiDGMUCCxQEAQ6CuUQBqAgQgAkjFTJTTOIAFpYGAZJKAFEBS

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:3c1c000c00000000
Color Hash:#53ac77

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data