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Security Scan Report: stafoperasiangkatandarat-dpkwcvvzi1h4.edgeone.app

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Submitted: Jun 10, 2026, 4:15:54 PMCompleted: Jun 10, 2026, 4:17:01 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 stafoperasiangkatandarat-dpkwcvvzi1h4.edgeone.app and was registered NaN years ago.

Submitted URL: https://stafoperasiangkatandarat-dpkwcvvzi1h4.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: 72%

5
Risk Score

The site shows a moderate risk due to unknown subdomain age and low reputation, but lacks credential collection or malware indicators.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain reputation ranking
Hosting on a generic platform subdomain
Presence of a form on an untrusted, unknown‑age domain
Safety Factors
No credential or payment fields in the form
No cross‑origin form submissions or credential exfiltration detected
No malicious JavaScript patterns or IDS alerts
Form appears to collect public social‑media metrics only
Domain age information unavailable

Details

Page Title

LOMBA PUBLIKASI SOSIAL MEDIA TNI AD

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(32%)

Domain Information

The domain name 'stafoperasiangkatandarat-dpkwcvvzi1h4.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'stafoperasiangkatandarat-dpkwcvvzi1h4'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. It segments into two 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://stafoperasiangkatandarat-dpkwcvvzi1h4.edgeone.app/

Page Load Overview

0.89s
Total Load Time
2
HTTP Requests
1
Domains
3 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:809 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service32% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
32%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCB153A31014973565DB91F2A670DA8568F0C703CE068988E0A94FF6D29ACDDC63B5CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:V9U3wyI0IBJwqKF6WpZDVTtdvwtfmxg5hAWloMeHNar2Gw:V9UAIIBJYFZxXRvz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5213:gABQEzCSQIAACA0CKSIEAEAQK6CEAYAgRAigDCAD4KCRgjCgAUgJgpAAGAAAQiIIEIXMRhgASAABgCZEJAEAAZSRABJECBCg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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