Security Scan Report: bottom-plum-zurcdywm-dp37er3kczyb.edgeone.dev

Submitted: Sep 2, 2026, 12:29:10 PMCompleted: Sep 2, 2026, 12:30:26 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Page shows brand mismatch and low reputation but lacks credential or payment collection; treat as moderate risk.

Risk Factors
Brand impersonation without credential collection
Unranked/unknown domain reputation
Hosted on a free subdomain service
Safety Factors
No password or payment fields
No malicious JavaScript or exfiltration detected
No confirmed phishing or malware indicators
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'bottom-plum-zurcdywm-dp37er3kczyb.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'bottom-plum-zurcdywm-dp37er3kczyb'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Breaking it apart gives two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bottom-plum-zurcdywm-dp37er3kczyb.edgeone.dev/

Page Load Overview

5.16s
Total Load Time
1.5 MB
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:#d22d51

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data