Security Scan Report: occupational-yellow-lwcddcfq-dpblcf3ofmie.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://occupational-yellow-lwcddcfq-dpblcf3ofmie.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Page shows no phishing or malware indicators; low risk but unknown age and unranked domain suggest caution.

Safety Factors (2)
Physical address visible on page
Self‑branding matches domain (NEVORA STORE) – not impersonating another brand
Domain age information unavailable

Details

Page Title

NEVORA STORE - Jual Akun & Top-Up Mobile Legends

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'occupational-yellow-lwcddcfq-dpblcf3ofmie.edgeone.dev' is registered; it also runs on subdomain 'occupational-yellow-lwcddcfq-dpblcf3ofmie'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Tokenizing the label 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://occupational-yellow-lwcddcfq-dpblcf3ofmie.edgeone.dev/

Page Load Overview

75.13s
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:935 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning85% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
85%
healthcare medical
81%
real estate property
81%
technology software
81%
e-commerce shopping
78%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.246.29Singapore
2146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1912295A666B020556193C8E07CB3DF9B6B60D317D40686647DEC6F80CF8ECD2C96369E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:HdgQB8v9IMxOCmEfncbs6nCnYm+G8LAaqJ0qC2Xmums:emuH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9984:CofwM+y8Apk0EGIEBggaBEAAAAAYskBEZNpEgIAoBJNNQWEacYcQEKOGQpCKQEhCOAkmArpCChMGwAcQVdQSaSIgSgYQMEgY

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:3d3c3c3c3c30003c
Perceptual Hash:8abaaa2c9b39ae38
Difference Hash:7161696969614969
Wavelet Hash:bd3c3c3c3c20213d
Color Hash:#b6d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data