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Security Scan Report: yelping-yellow-c7vju9e3au-ecyv77lahp.edgeone.app

Submitted: Mar 15, 2026, 11:13:49 AMCompleted: Mar 15, 2026, 11:15:27 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 10 HTTP transactions. The main domain is yelping-yellow-c7vju9e3au-ecyv77lahp.edgeone.app and was registered NaN years ago.

Submitted URL: https://yelping-yellow-c7vju9e3au-ecyv77lahp.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

No malicious indicators detected; site appears low risk despite clickbait content.

Safety Factors
No credential or payment collection forms
No cross‑origin credential exfiltration observed
JavaScript obfuscation score is low (standard minification)
External resources are common image/audio hosts (i.ibb.co, media.tenor.com, soundhelix.com)
No redirects or network‑level IDS alerts
Domain age information unavailable

Details

Page Title

2 Years of Us! ❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(59%)

Domain Information

The domain 'yelping-yellow-c7vju9e3au-ecyv77lahp.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'yelping-yellow-c7vju9e3au-ecyv77lahp'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. It segments into 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://yelping-yellow-c7vju9e3au-ecyv77lahp.edgeone.app/

Page Load Overview

1.00s
Total Load Time
10
HTTP Requests
4
Domains
8.6 MB
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:624 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content59% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
59%
education learning
38%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
445.43.142.2Singapore
AS15169
281.169.145.157Germany
AS6724Strato GmbH
2142.250.201.74United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
104--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5B1B68751DB2B92641BC0803FA35B4A76A29003C74AC7547EEC69C29FCECDB649739D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T+doefp5XyY65I8EkEzXJTbtKoT7rm33URaDkD+/Etn:Kdoefp5XyY6S8EkEzXJBAkoZ/w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5265:wAEQCUlAVSYGBgAAMRiAQAQgkIiDEgwAEBtBosJhAgEAEE5BBLwAQAmCBYgoSAAAUQMCCASCkIBDIBqigKJMDAQAAGAwAAAI

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:01031b1b1f071f1f
Perceptual Hash:88193323ccdd6677
Difference Hash:fffff3b3b3cfffff
Wavelet Hash:03031f1f1f071f1f
Color Hash:#c979d2

Other Hashes

Crop Resistant:fffff3b3b3cfffff

Scan History

Scan history not available

Unable to load historical scan data