Security Scan Report: dying-chocolate-9xj1d2gumo-tv44cmv0ui.edgeone.app

Submitted: Mar 15, 2026, 12:41:00 PMCompleted: Mar 15, 2026, 12:42:26 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 1 HTTP transaction. The main domain is dying-chocolate-9xj1d2gumo-tv44cmv0ui.edgeone.app and was registered NaN years ago.

Submitted URL: https://dying-chocolate-9xj1d2gumo-tv44cmv0ui.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; the site appears legitimate and safe.

Safety Factors
No credential or payment collection fields
No malicious JavaScript or obfuscation
No Indicators of Compromise
Standard hosting platform (edgeone.app) with no known abuse
Content appears benign and non‑phishing
Domain age information unavailable

Details

Page Title

Happy Anniversary Aaradhya πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

adult content

(28%)

Domain Information

You're looking at domain 'dying-chocolate-9xj1d2gumo-tv44cmv0ui.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'dying-chocolate-9xj1d2gumo-tv44cmv0ui'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. It segments into two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dying-chocolate-9xj1d2gumo-tv44cmv0ui.edgeone.app/

Page Load Overview

3.36s
Total Load Time
16
HTTP Requests
4
Domains
429 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:2,809 chars
Detector Agreement:75%

Website Classification

Primary Category

adult content28% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.141.106United States
AS15169Google LLC
443.152.26.58Singapore
4142.250.186.67United States
AS15169Google LLC
445.43.142.3United Kingdom
AS16276OVH SAS
164--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14463C791A2A21026A1575DE339BB0F5E32388403E907892C76BD54C89FF7DD4EE737A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SuUpImaOBL75TGaCHeBI3g/eDA9GX1ht7q4l1KDcsaT5KsKZAuGLWAMd7q1SFdFq:SpMz12q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72136:ZkwDMNDAJkx4TFmAkYggAJDQAgU0ACZQQAIioDyoSxhBSIkkgYAFURw2ptsAkwUGjUEw6IhDDMmKBQDhiYic8NhiECEDQAA0

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:fefde5e5e4e4d8c0
Perceptual Hash:e29ddc778d892388
Difference Hash:00010909080d1101
Wavelet Hash:7ef5e9e1e1e0c0c0
Color Hash:#d279d1

Other Hashes

Crop Resistant:00010909080d1101

Scan History

Scan history not available

Unable to load historical scan data