Security Scan Report: quintessential-coffee-wqgwdwro-dpxyaoixybvm.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 1 IP 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://quintessential-coffee-wqgwdwro-dpxyaoixybvm.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

A harmless static apology page on a hosting-platform subdomain. No forms, no impersonation, no malware or phishing indicators. The lone threat-intel hit is an unverified, generic abuse-reputation tag on the host IP and carries no content weight.

Safety Factors (4)
No credential, login, or payment form anywhere on the page
No brand impersonation — the page makes no claim to represent any organisation
No obfuscated JavaScript, no network sink, no malicious-kit roster match
No phishing/malware IDS alerts or Google Safe Browsing threat
Domain age information unavailable

Details

Page Title

Sorry Bestie 😭❤️

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'quintessential-coffee-wqgwdwro-dpxyaoixybvm.edgeone.dev' is registered, featuring subdomain 'quintessential-coffee-wqgwdwro-dpxyaoixybvm'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Word splitting yields two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

0 I'm Sorry 0 Dear Bestie 0, 1 know | messed up and I'm genuinely SORRY. a Please don't stay angry with me... Your smile is way more important to me than winning an argument. 00 Forgive me, bestie...

Page Load Overview

0.61s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:238 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
healthcare medical
31%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D431168FC1A30085D15391502FF767A92A54D407634FCE687FCD2388CF84595AAD375C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRB5C0sXZYRvvVG6lmCFfcUxUKSnPpGzacpOHFh7z9TBsqRyyH1VgV80qVopNsjE:TBrXtdFfcfnWsstyVWq0RpNsUXkb30NV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1789:AgABEAAEQAAAgAgQAAAAEAAAAAAAEIgBAAAAQAAACAAAAAAIgBADAAkgCAACIEACAAAAEAAAAAAAACCBSIAAQAAxIAAQACAA

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:00181818181c0000
Perceptual Hash:891c663373269d73
Difference Hash:2870b2b232321000
Wavelet Hash:031f1b1b1b1b073f
Color Hash:N/A

Other Hashes

Crop Resistant:2870b2b232321000

Scan History

Scan history not available

Unable to load historical scan data