Security Scan Report: project-dapp.vercel.app

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Submitted: Jul 25, 2026, 3:51:57 AMCompleted: Jul 25, 2026, 3:53:07 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is project-dapp.vercel.app and was registered NaN years ago.

Submitted URL: https://project-dapp.vercel.app/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Low risk site with no credential collection; unverified IoC and informational IDS alerts only raise mild concern.

Risk Factors
Unranked / not in Cisco Umbrella top 1M
Unknown creation date of subdomain on Vercel hosting
Domain age information unavailable

Details

Page Title

ProjectDappsMainNet

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(94%)

Domain Information

The domain 'project-dapp.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'project-dapp'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://project-dapp.vercel.app/

Page Load Overview

0.61s
Total Load Time
7
HTTP Requests
1
Domains
93 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
Text Length:1,912 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking94% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
94%
cryptocurrency blockchain
94%
government public service
93%
documentation technical
92%
technology software
82%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.131United States
AS16509Amazon.com, Inc.
71--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196520C60B0F01B2741E3D8E2B6613766AE9FDA17C46BC015BBEC86CA4F89D50CD4F265

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ngoGAdJls650KQtFls6CK2IBZliZErZ6UZO9JpZk+ZwD2m+Z8QZipZ+RZvheZ8Ra:xGCXsp9smoUandVvsV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14278:gCgYAEAgMMIpFAlQcQUHCakK18AGIABenhkAEAQKQECDZS0HCECcSw0KBFCgKmgNICKkioBEgAVRMIaBUECAQwASpOYMLlJA

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:ff0078797979281c
Perceptual Hash:c994b6b18cc5c1be
Difference Hash:f479e3e3e3d3d3f1
Wavelet Hash:ff00787979791911
Color Hash:#c5bf87

Scan History

Scan history not available

Unable to load historical scan data