Security Scan Report: makam-dpqif7p5n5ct.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://makam-dpqif7p5n5ct.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 72%

1
Risk Score

Self-branded synthetic-data/base64 utility on a free hosting subdomain. No forms, no impersonation, no malware, no credential capture. The lone threat-intel hit is a generic abuse tag on the host IP and carries no weight.

Safety Factors (4)
No credential, login or payment forms of any kind
No cross-origin form submissions and no cross-origin script contacts
No known malicious kit in the kit roster and no high-precision native-hunting-rule hits
Content reads as a benign base64/dump generator tool with no solicitation, urgency or data capture
Domain age information unavailable

Details

Page Title

Local Data Dump Lab

Scan Type

public

Domain Name Analysis

Domain 'makam-dpqif7p5n5ct.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'makam-dpqif7p5n5ct'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

LOCAL DATA DUMP LAB Generator data sintetis untuk pengujian localhost. Generate Random Dump Base64 — Image Download Dump Belum ada data

Page Load Overview

0.57s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:id
Text Length:156 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
143.174.247.29Singapore
143.174.246.29Singapore
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137618414A4A70C4E1193523C2FEB914472A851137749DDFCBE4D63D5CFA9A3890FB60C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:zMvzvyHZgVNAIoHGvN2n1CTbp1cDkoBux9NSo7clTsnu+W8ebpR4rZe2Q8o7+siv:yzvyHZnIxF4abjlMus+GTWkjwXf+Fc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3421:gABAAKAAAEACCkIAAEgBAKCCkIABAAAREQDggAIBCAUoKICACABABkAEAgAJAABMEWAAgChAIAAJgCBAAQAAABSAAICABIlA

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:003c3c0000000000
Perceptual Hash:cecece646431319b
Difference Hash:6461710420000000
Wavelet Hash:3c3c3c3c00000000
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data