Security Scan Report: surprising-lime-7pergq3em2-vg1252dvuo.edgeone.app

Submitted: Apr 26, 2026, 4:57:02 AMCompleted: Apr 26, 2026, 4:58:19 AMpubliccompleted
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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 surprising-lime-7pergq3em2-vg1252dvuo.edgeone.app and was registered NaN years ago.

Submitted URL: https://surprising-lime-7pergq3em2-vg1252dvuo.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: 75%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age (potentially newly created)
Low domain ranking
Hosted on a generic developer sub‑domain platform
Safety Factors
No credential or payment collection forms
No malicious JavaScript or network alerts
No external IoC matches or IDS alerts
Domain age information unavailable

Details

Page Title

Absensi Digital

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(67%)

Domain Information

The domain 'surprising-lime-7pergq3em2-vg1252dvuo.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'surprising-lime-7pergq3em2-vg1252dvuo'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Segmentation suggests 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://surprising-lime-7pergq3em2-vg1252dvuo.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
5 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:107 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service67% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
67%
healthcare medical
57%
social media network
48%
news media journalism
42%
technology software
41%

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

T1FA61A47370B7045426A3A1B93EF3D34579B2820BB606C9857E8D82A0CF8DEA640776DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ClkDJ7GrISQEJDtOEP9FgkKg1iIibBkmcdg90gX9j:COJ7GrISFJJ11UmiIiGjdvgX9j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3466:AggAGAiAgUIUARIwAAAFgkBEAAAQgAQhwAggAACABBRAwCUBAgRAiGCBAAwoBQAhoDAABAZSIAQQJGAYAAIBKAIgYUgACgSA

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:e7ffffe7e7ffffff
Perceptual Hash:b39998666666cccc
Difference Hash:2832324c4c300000
Wavelet Hash:3038382033333333
Color Hash:#c587c5

Other Hashes

Crop Resistant:2832324c4c300000

Scan History

Scan history not available

Unable to load historical scan data