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Security Scan Report: www.projectsapp-one.vercel.app

Redirected to:
https://projectsapp-one.vercel.app/
Bot Protection Detected

This website is protected by access_denied bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Sep 10, 2026, 1:45:08 PMCompleted: Sep 10, 2026, 1:46:26 PMpubliccompleted

Summary

This website contacted 10 IPs in 1 country across 7 domains to perform 1 HTTP transaction. The main domain is projectsapp-one.vercel.app and was registered 2 years 10 months ago.

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

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Microsoft/Adobe login, contains a password‑only form on an unranked Vercel subdomain – high risk of credential phishing.

Risk Factors
Unranked domain on shared hosting platform
Brand impersonation of Microsoft/Adobe
Credential form with password only
Domain age information unavailable

Details

Page Title

Adobe Acrobat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(52%)

Domain Information

The domain 'www.projectsapp-one.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.projectsapp-one'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Segmentation 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://www.projectsapp-one.vercel.app/

Page Load Overview

3.01s
Total Load Time
9
HTTP Requests
7
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 software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
documentation technical
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.131United States
AS16509Amazon.com, Inc.
0104.16.78.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.217.208.95Google · CDNUnited States
AS15169Google LLC
0104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.67United States
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0209.133.205.202Tampa, Florida, United States
AS29802HIVELOCITY, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.67United States
AS16509Amazon.com, Inc.
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
910--

Page Statistics

9
Requests
7
Unique Domains
341.0 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:#d279c6

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data