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Security Scan Report: negative-silver-ouab9xzngc-xih9krn2je.edgeone.app

Submitted: Mar 18, 2026, 9:54:13 AMCompleted: Mar 18, 2026, 9:55:26 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is negative-silver-ouab9xzngc-xih9krn2je.edgeone.app and was registered NaN years ago.

Submitted URL: https://negative-silver-ouab9xzngc-xih9krn2je.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: 95%

0
Risk Score

The site shows no malicious indicators and appears legitimate.

Safety Factors
Absence of credential or payment forms
No suspicious redirects or cross‑origin requests
Hosted on a known platform (edgeone.app) without malicious behavior
Clean JavaScript behavior
Domain age information unavailable

Details

Page Title

Kit Misteri Tulisan 🕵️

Scan Type

public

Language

🇮🇩

ID

(44% confidence)

Category

entertainment media

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'negative-silver-ouab9xzngc-xih9krn2je.edgeone.app' is registered with subdomain 'negative-silver-ouab9xzngc-xih9krn2je'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Splitting it apart reveals 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://negative-silver-ouab9xzngc-xih9krn2je.edgeone.app/

Page Load Overview

1.02s
Total Load Time
6
HTTP Requests
3
Domains
141 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:44%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:2,695 chars
Detector Agreement:67%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

entertainment media81% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
81%
education learning
53%
government public service
45%
adult content
33%
technology software
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.201.67United States
AS15169
2142.251.141.106United States
AS139341
243.152.26.58Singapore
AS139341ACE
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC0439F711DB0B2E540AD37925BE20A16852A023AD67F1D2316C6F94AF4CEC744A77BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:t1KdBHdee291/zrIcAEcSizSK5zLpYOWRtZbZ:t1a3u1/nIcwSizSuHMtpZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177278:SFiVgSLBCmig0BALB7JDXiAUiguBYBAgJFURIogIJYBBX6IAQBECKcikBAAIJDpEhGZhAVDhslCgKEtEgl3AYSEhPw5EgSxQ

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:0000989c1818f8f9
Perceptual Hash:dd36232298db9dc8
Difference Hash:8d2c3230327233bb
Wavelet Hash:07069c9c18b8f8ff
Color Hash:#53ac9c

Other Hashes

Crop Resistant:aaac9692a5830331,8d2c3230327233bb

Scan History

Scan history not available

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