Security Scan Report: sayang-kamu-974vbiea0r.edgeone.app

Submitted: Feb 23, 2026, 4:40:31 PMCompleted: Feb 23, 2026, 4:41:50 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sayang-kamu-974vbiea0r.edgeone.app and was registered NaN years ago.

Submitted URL: https://sayang-kamu-974vbiea0r.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 82%

4
Risk Score

No malicious content detected; site appears benign but subdomain age is unknown, so treat cautiously.

Risk Factors
Subdomain on hosting platform with unknown age (moderate phishing indicator)
Low reputation ranking (outside top 100 k) on Cisco Umbrella
Safety Factors
No forms or data‑collection fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts observed
Served over HTTPS (secure transport)
Domain age information unavailable

Details

Page Title

Surprise Meyy

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

healthcare medical

(69%)

Domain Information

The domain name 'sayang-kamu-974vbiea0r.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sayang-kamu-974vbiea0r'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Tokenizing the label suggests 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://sayang-kamu-974vbiea0r.edgeone.app/

Page Load Overview

0.76s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:id
Text Length:109 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

healthcare medical69% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
69%
finance banking
69%
adult content
65%
gambling betting
56%
news media journalism
51%

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

T1C322A72D2BF320129057A66B2FD79218A031E0171606CC1C7E4D935D4F9D2ADD6BAFDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:TAMqjL66VnfJn7Jcw95akRWefZqNJ5RaibXUcc1BZLmiI8/cM/xM/YLFzlKT9hs9:kFzHCRkhtz9/t/D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10524:UYQQEEMTAGUm7AVSIqgAEIngAQAEAAVRIsQhAOArAJmtGJSUFFjIQGwWIQ8RAAAHCIB8AtkHCKJJQSCCJkHLbNjUoExQgyAY

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:ffffe7e7e7e6f6fc
Perceptual Hash:f7d9cc612333238c
Difference Hash:00004c4d4c4c0c00
Wavelet Hash:fefce4e0e0e0e0e0
Color Hash:#d27992

Other Hashes

Crop Resistant:00004c4d4c4c0c00

Scan History

Scan history not available

Unable to load historical scan data