Security Scan Report: given-coffee-kibxfvna-dpf8wl0ma78x.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://given-coffee-kibxfvna-dpf8wl0ma78x.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Internal-style preventive maintenance dashboard on a free edgeone.dev subdomain. No credential/payment forms, no malware, no impersonation. Only weak signals: unknown page age and reputation-only abuse tags on the host IP.

Risk Factors (1)
Hosted on a free instant-publishing subdomain (edgeone.dev), so the page's actual creation date is unknown and could be very recent
Safety Factors (5)
No credential or payment collection — 0 password fields and 0 payment fields verified from the DOM
No credential exfiltration and no cross-origin form submissions
No JavaScript malware patterns, no network IDS alerts, no known malicious kit
Unranked domain is not claiming to be any major brand
Content is consistent with a functional internal maintenance-tracking tool
Domain age information unavailable

Details

Page Title

Preventive Maintenance System

Scan Type

public

Domain Name Analysis

You're looking at domain 'given-coffee-kibxfvna-dpf8wl0ma78x.edgeone.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'given-coffee-kibxfvna-dpf8wl0ma78x'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://given-coffee-kibxfvna-dpf8wl0ma78x.edgeone.dev/

Page Load Overview

1.01s
Total Load Time
223 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:id
Text Length:2,155 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical87% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
87%
technology software
54%
government public service
53%
healthcare medical
33%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.174.247.29Singapore
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
143.174.246.29Singapore
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0E2B86041E95677009BC0C2ABE29F9B3EE0A917C76A81407BAD0FD44FD3F91DD2742A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:w9g7Go43RcJcb7C9B8X99mkNofcD5kW59G+EImEmyEW/XCkhIDSKBYlhiJ8ifL8u:wpbRcJp/fIkW59G+EImHyEWv6rtJ8iDr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32539:JCAAJRAwCAEoRAd5IIQzwkgBGhlRsSKhAhh0HglkCKQPBAxCoqI+kBBGfOwCt24QCREMBAhCYVnSEEgwZBCCUIgKgAgAJ4Sh

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:3f3f7f7f7f7f3f7f
Perceptual Hash:807f7fdfd08ac0c0
Difference Hash:d0d2d0d0d0d0f0d0
Wavelet Hash:00003e3e3e3f1f3f
Color Hash:#40bf60

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data