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Security Scan Report: projectsapp-one.vercel.app

Redirected to:
https://projectsapp-one.vercel.app/
Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Submitted: Aug 22, 2026, 2:45:01 PMCompleted: Aug 22, 2026, 2:46:08 PMpubliccompleted

Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is projectsapp-one.vercel.app and was registered 2 years 10 months ago.

Submitted URL: http://projectsapp-one.vercel.app/

Effective URL: https://projectsapp-one.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Adobe/Microsoft and harvests passwords on an unranked Vercel subdomain, indicating high‑risk credential phishing.

Risk Factors
Brand impersonation
Credential harvesting pattern (password-only field)
Unranked / low‑reputation domain
Hosting on shared Vercel subdomain with unknown age
Domain age information unavailable

Details

Page Title

Adobe Acrobat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(53%)

Domain Information

Within the application-focused generic top-level domain (.app), 'projectsapp-one.vercel.app' is registered with subdomain 'projectsapp-one'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.jsdelivr.net

Page Load Overview

0.45s
Total Load Time
8
HTTP Requests
6
Domains
324 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:830 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
1199.232.169.137Fastly · CDNParis, Île-de-France, France
AS54113Fastly, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.131United States
AS16509Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
85--

Page Statistics

8
Requests
6
Unique Domains
340.9 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF33FA76297B1021BA9F8563B7AE070B39268407DD0BF21439AD434C8FD9BDDD1727A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HV9EFplEivCb2ZBAP1Q4GkS8SSycfK6FvhLzZSw0RPtFOy5tcwxm+V/+GunZnezx:0d0H7v5wwsbxm+V/+GunZiPTN2i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53941:GEMBdJlDEsDIQAWA1gODIFRCYUADujMUEMGoBMqExGDCEEaAUAgQCNAjApOxLTBQGEQQCCuKiTHmCuofxAShCYYKEIwCx0Gp

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:ffffe7c3ffffffff
Perceptual Hash:e666999966662699
Difference Hash:00000c0c00000000
Wavelet Hash:f0f0fcc0f0f0f0f0
Color Hash:#1f9361

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data