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

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Submitted: Jul 2, 2026, 12:45:44 PMCompleted: Jul 2, 2026, 12:50:01 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 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/positions

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Uniswap, is flagged by Safe Browsing for social engineering, and lacks any legitimate credentials – treat as high‑risk phishing.

Risk Factors
Brand impersonation (Uniswap brand on mismatched domain)
Safe Browsing social engineering detection
Unknown subdomain age on a hosting platform
Unranked / low‑reputation domain
Domain age information unavailable

Details

Page Title

Manage pool liquidity on Uniswap

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Within the application-focused generic top-level domain (.app), 'uni-lab-rosy.vercel.app' is registered and includes subdomain 'uni-lab-rosy'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. It segments into 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uni-lab-rosy.vercel.app/positions

Page Load Overview

6.47s
Total Load Time
83
HTTP Requests
6
Domains
0 KB
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-US
Text Length:619 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
cryptocurrency blockchain
60%
finance banking
59%
cryptocurrency
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4264.29.17.195United States
AS16509Amazon.com, Inc.
41104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
832--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146D32AB4F911606D9B37D39A67D18F6EF133B149CE229058FA5C001ABBD3EF20851E65

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mxXQ8QRCQXCQdL3cf0Xx/c64Jysq7vhEo1Zg8iTQwWY0K/TOMQlL69iAH66NXu6:iXQ8Q0QyQh5XyBF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:131434:TSlhBVggIGXTyJICBokDxhGQhEgBjAEQQcHDEgUEbCVJoBABeIkFQCAksNBYARAUBBoEmQAAtNJY2ioQZqDKgJAhBQwChQQh

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:06dfc78fffffffff
Perceptual Hash:b333c4cc1c373371
Difference Hash:2c301a3800000080
Wavelet Hash:06878787f0f0f070
Color Hash:#cc6ce0

Other Hashes

Crop Resistant:2c301a3800000080

Scan History

Scan history not available

Unable to load historical scan data