Security Scan Report: uni-lab-rosy.vercel.app

Submitted: Jul 3, 2026, 12:45:26 AMCompleted: Jul 3, 2026, 12:48:30 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is uni-lab-rosy.vercel.app and was registered NaN years ago.

Submitted URL: https://uni-lab-rosy.vercel.app/explore/pools/ethereum/0x88e6A0c2dDD26FEEb64F039a2c41296FcB3f5640

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(77%)

Domain Information

The domain 'uni-lab-rosy.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'uni-lab-rosy'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uni-lab-rosy.vercel.app/explore/pools/ethereum/0x88e6A0c2dDD26FEEb64F039a2c41296FcB3f5640

Page Load Overview

6.91s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
42%
cryptocurrency blockchain
35%
technology software
32%
healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18681A3377B69211AF333C89FA1C26B993010A121D16BDAB9FF479F15D6CA1661E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMTc/J:TGRe91n5O6Yp63XKk1Vr3hgRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBCCgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDJoQOEcQwAEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:3f3f3f0303030f0f
Color Hash:#79c6d2

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data