Security Scan Report: fastswap-v2.vercel.app

Redirected to:
https://fastswap-v2.vercel.app/#/
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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 2 countries across 8 domains to perform 79 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://fastswap-v2.vercel.app

Effective URL:
https://fastswap-v2.vercel.app/#/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Suspected phishing DEX clone on a Vercel subdomain; single-source phishing report and wallet-connect/BNB RPC pattern indicate a possible wallet drainer. Avoid connecting a wallet.

Risk Factors (5)
Single-source threat-intel phishing report on the primary domain.
Brand presentation as 'Fastswap' on a non-official Vercel subdomain.
Wallet-connect interaction combined with BSC RPC calls, a known wallet-drainer pattern.
Hosted on an abused cloud hosting service domain (vercel.app) per IDS alerts.
No established domain reputation (unranked in Cisco Umbrella).
Domain age information unavailable

Details

Page Title

Fastswap

Scan Type

public

Domain Name Analysis

Domain 'fastswap-v2.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'fastswap-v2'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

“Y/ Trade Earn Win NFT Fastest Swapping Experience Earn, win, buy and sell your favorite tokens at the best rate. Excellent rewards for liquidity providers and NFT marketplace on Ethereum and BNB Ch...

Page Load Overview

2.25s
Total Load Time
3.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,460 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
85%
gambling betting
78%
technology software
48%
cryptocurrency
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5142.251.20.95Google · CDNUnited States
AS15169Google LLC
5192.178.183.97Google · CDNUnited States
AS15169Google LLC
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
5104.20.42.156Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5108.133.213.75Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5142.251.127.95Google · CDNUnited States
AS15169Google LLC
7915--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE734A729E54BABF52337BC560367BABB4C3752DE5D61D01A6F8ABC293C5C18CD06802

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0z2S5BkNlV+TuNVSzkHSJVyJttVyHt44rtttVyZttVykt44r2ttVyRt44r9tV28F:0z2SoSuNVSzkya6Nm8CKwRBsZl81

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76458:ECAZ4H+TGCNbgHgPRMAEuQ4Cws1nkCAGU1FArJajygcggAyCqwAkYg0BABwVAFGoWiSGNgoIVAFAUkD9dDBMmyHhFqiACXIN

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:bbff8f0f8f89cfff
Perceptual Hash:bb8dc04b853d4bb1
Difference Hash:5384193c497b9c10
Wavelet Hash:b9ff0b05070187cf
Color Hash:N/A

Other Hashes

Crop Resistant:5384193c497b9c10

Scan History

Scan history not available

Unable to load historical scan data