Security Scan Report: slimy-chocolate-ghwnggc4lv-jbpqtin1vf.edgeone.app

Submitted: Feb 21, 2026, 5:15:32 PMCompleted: Feb 21, 2026, 5:16:40 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is slimy-chocolate-ghwnggc4lv-jbpqtin1vf.edgeone.app and was registered NaN years ago.

Submitted URL: https://slimy-chocolate-ghwnggc4lv-jbpqtin1vf.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 malicious activity detected; the site appears benign.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a reputable development hosting platform
Domain age information unavailable

Details

Page Title

slimy-chocolate-ghwnggc4lv-jbpqtin1vf.edgeone.app

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

adult content

(60%)

Domain Information

You're looking at domain 'slimy-chocolate-ghwnggc4lv-jbpqtin1vf.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'slimy-chocolate-ghwnggc4lv-jbpqtin1vf'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://slimy-chocolate-ghwnggc4lv-jbpqtin1vf.edgeone.app/

Page Load Overview

0.61s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

adult content60% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
60%
news media journalism
49%
documentation technical
42%
government public service
42%
healthcare medical
29%

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

T117048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8OldA:BhoC9JSqzzbs6o3Sj3gcrsk2eA+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:EcGJGQABMEEAMsBwoJMlIAAhB0EcoCgOKAcgBBu6QQJ5QBQAImXEInRTFmZtT0CRBAFDeE8lCCOgE7cQA2AAEEaFoEgnQ1gQ

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#67862d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data