Security Scan Report: daily-apricot-pqarkzqd-dpstqflvh3bi.edgeone.dev

Submitted: Sep 14, 2026, 4:26:32 PMCompleted: Sep 14, 2026, 4:26:53 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Mirror of the Next.js/Vercel landing page on a random edgeone.dev hosting subdomain. No credential or payment forms, no malware or exfiltration; threat-intel hits are reputation-only. Low-to-moderate suspicion.

Risk Factors
Mirrored/copied framework landing page hosted on a non-official shared-hosting subdomain with an unknown creation date
Hosting-platform subdomain (edgeone.dev) where the tenant could have been created moments ago
Safety Factors
No password, disguised-password, or payment fields present (verified DOM counts all zero)
No cross-origin credential forms or credential exfiltration detected
No JavaScript malware (YARA) or known malicious kit patterns detected
Content reads as a legitimate Next.js starter/template deployment (technology software category, 72%)
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'daily-apricot-pqarkzqd-dpstqflvh3bi.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'daily-apricot-pqarkzqd-dpstqflvh3bi'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daily-apricot-pqarkzqd-dpstqflvh3bi.edgeone.dev/

Page Load Overview

2.54s
Total Load Time
544 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,797 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1843.174.246.29Singapore
1743.174.247.29Singapore
352--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150C1ED039CED8E197862A4C1C912F34DE54EA133D4244D5EF22CB4AA2F48DDA239F57E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:S/mW7WJWAWZW5GzcMp3RFRiXcVvr9nqOfmgVTDZqZJ5ORg2r:SOW7WJWAWZW5GzcMp3RFRiXcVvr9nqOp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5946:GIAwDoMjACKSCBIIAIsAwIAEIDCIAgASEoCHACoXRMkaiCACAADAAlQCBASBBEkCCAMIOeKwgXAAYZ4EVwNlBAggAEAUQYBB

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:fcc381efe7ffffcf
Perceptual Hash:b368ccc393cc683b
Difference Hash:41220b0c0a001496
Wavelet Hash:888081c3e7f7ff42
Color Hash:#c879d2

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data