Security Scan Report: project-dapp.vercel.app

Submitted: Jul 3, 2026, 9:52:05 AMCompleted: Jul 3, 2026, 9:53:39 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no malicious forms, IoCs, or malware; only minor uncertainty due to unknown subdomain age and unranked status, resulting in a low‑risk rating.

Risk Factors (3)
Subdomain creation date unknown (could be newly created)
Domain is unranked in Cisco Umbrella
Circular redirect detected (moderate signal but no malicious context)
Safety Factors (4)
Hosted on reputable Vercel platform
Self‑branding matches the subdomain
No credential or payment collection mechanisms
No malicious network or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'project-dapp.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'project-dapp'. The second-level label 'vercel' is 6 characters long with 2 vowels and 4 consonants. Tokenizing the label suggests two 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 http://project-dapp.vercel.app

Page Load Overview

8.13s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:765 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
58%
adult content
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67United States
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168048F77329A063986558498E05B430D9F20B543F50AC8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:c/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPC2bMy8OldL:thoC9JSqzzbs6okSjggcpsK2eAt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187942:mCAZGAJBIBA2LAxCEodIS+irJBKZFDiAVgCogTYERKEHyzZfbJARpEDSCKUACYSjBXigpSDEqTFBOiTUAIgETFgLhgQKk5YQ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4c0f8f0f0
Color Hash:#783a74

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data