Security Scan Report: statistical-tomato-9utvyffb-dpf84kees9sy.edgeone.dev

Submitted: Sep 26, 2026, 12:46:15 AMCompleted: Sep 26, 2026, 12:47:46 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Replica of the official Next.js/Vercel homepage served from a random edgeone.dev subdomain. No credential or payment forms and no malware, but brand mismatch on an unranked host warrants caution.

Risk Factors
Brand mismatch: official Next.js/Vercel branding on a non-Vercel edgeone.dev subdomain
Unranked domain (not in Cisco Umbrella top 1M)
Random, non-descriptive platform subdomain naming
Safety Factors
No credential, password, or payment fields present (0 password, 0 payment, 0 disguised password)
No cross-origin credential forms or credential exfiltration detected
No YARA/JavaScript malware patterns and no known malicious kit roster hits
Content is static documentation-style marketing copy consistent with a Next.js starter deployment
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'statistical-tomato-9utvyffb-dpf84kees9sy.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'statistical-tomato-9utvyffb-dpf84kees9sy'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Breaking it apart gives two 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://statistical-tomato-9utvyffb-dpf84kees9sy.edgeone.dev/

Page Load Overview

19.18s
Total Load Time
989 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,807 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
72%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.174.246.29Singapore
2443.174.247.29Singapore
492--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pNYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:PYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358980:EgkAKKCALBgjDxAgpCJxMssgBNCSmIBDAQAANMFJUCACghRBDJgICZHSZ4ils03CHHCdCCoI6SUQANBCAVkwQx4AQEhF4CUQ

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:b368ccc393c86c3b
Difference Hash:41220b0c0a001416
Wavelet Hash:888081c3e7efff82
Color Hash:#86642d

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data