Security Scan Report: interface-uniswap.vercel.app

Redirected to:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fi...
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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 5 domains to perform 130 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://interface-uniswap.vercel.app/

Effective URL:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fi...
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Gated vercel.app subdomain carrying the Uniswap brand plus a phishing report; the tenant's real content was never visible. Treat as a likely brand-impersonation lure and avoid.

Risk Factors (4)
Different entity's brand (Uniswap) embedded in a disposable hosting subdomain
Single-source phishing report on the scanned hostname
Site content hidden behind the platform's SSO gate, so no legitimate purpose could be verified
Vercel subdomain creation date unknown — could be minutes old
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

The domain 'interface-uniswap.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'interface-uniswap'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Log in to Vercel G Continue with Google © Continue with GitHub G Continue with ChatGPT & Continue with SAML SSO 24 Continue with Passkey Show other options Don't have an account? Sign Up Sign Up

Page Load Overview

4.51s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:255 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1864.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1664.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1664.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
16216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1664.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1664.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.127.84Google · CDNUnited States
AS15169Google LLC
334.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1308--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124748228A105FD6DEDEF6C4B227DAC3B264EA173DD82E8B5E5E8C91541C2075A781FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vQgPaOz7uyLvQMUjCij3LCddiQN6ncMQ/vQZdinN6ocM/VsWheF:vQoaAHyWhA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:357171:DEAnhzBcgg01WgUIjqgEdcbCJED1ihAQAAZl1NCCiCwRNMIw4NoSyYQUDABMFJLiACigVkYgFAmEyg5FnQQeapeEUA5BicoQ

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:ffffe7e7e7e7ffff
Perceptual Hash:b3268c88d9336677
Difference Hash:80284d4c080c0800
Wavelet Hash:60e0e0e0e3e3c7c7
Color Hash:070010080c0

Other Hashes

Crop Resistant:80284d4c080c0800

Scan History

Scan history not available

Unable to load historical scan data