Security Scan Report: gastric-blush-tyy0d97sre-02q2pkkci5.edgeone.app

Submitted: Nov 21, 2025, 10:00:48 AMCompleted: Nov 21, 2025, 10:03:27 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 4 domains to perform 7 HTTP transactions. The main domain is gastric-blush-tyy0d97sre-02q2pkkci5.edgeone.app.

Submitted URL: https://gastric-blush-tyy0d97sre-02q2pkkci5.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; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise
No login or payment collection fields
Standard hosting without suspicious redirects
Domain age information unavailable

Details

Page Title

Test Ingatan by Dika and team

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'gastric-blush-tyy0d97sre-02q2pkkci5.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'gastric-blush-tyy0d97sre-02q2pkkci5'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Segmentation suggests 2 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://gastric-blush-tyy0d97sre-02q2pkkci5.edgeone.app/

Page Load Overview

5.15s
Total Load Time
7
HTTP Requests
4
Domains
85 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:388 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.185.99United States
AS15169GOOGLE
243.152.26.58Singapore
2142.250.186.35United States
AS15169GOOGLE
1216.58.206.42United States
AS15169GOOGLE
12a00:1450:4001:827::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
77--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADE2C55255A31026A863C0F727E7578D31348103B647C95CFA5E62D8CF86ACEDAB3A9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:m0sXyj5e3s+H+Kyj9/cHJL+5qOY9kgm8C9yCfSnW1I9Xrgkps/NHi5aIYCKksx6V:mpXyj5ei33Yi8bNrgk3LV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32834:gFAIhaItBmGAgiKJpZZyHhDjQh0DICIIHgGYFAEWaMgygsbckNOCKVoyEQAJEkQYMRAskHaLAAC1EZQBcy3qAABLgEkl9zwB

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:1b1b1b1901010000
Perceptual Hash:8c8c66277399d933
Difference Hash:b7b7b3b34d878707
Wavelet Hash:1f1f1f1f0703c3c1
Color Hash:#d22dac

Scan History

Scan history not available

Unable to load historical scan data