ScanMalware.com

Security Scan Report: www.portszz.vercel.app

Redirected to:
https://portszz.vercel.app/
Submitted: Aug 28, 2026, 12:45:06 PMCompleted: Aug 28, 2026, 12:46:24 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/41b4c8ee-d3cd-4c6b-a616-b4b5aeedc8afDomain and IP registration (RDAP)/api/v1/rdap/41b4c8ee-d3cd-4c6b-a616-b4b5aeedc8afCertificate Transparency/api/v1/ct/portszz.vercel.appHow often this domain was scanned/api/v1/domain/stats/portszz.vercel.appScan history for this domain/api/v1/domain/history/portszz.vercel.app?limit=15

This website contacted 7 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is portszz.vercel.app and was registered 15 years ago.

Submitted URL: http://www.portszz.vercel.app/

Effective URL:

https://portszz.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page impersonates Adobe and harvests credentials via a password‑only form on an unknown‑age Vercel subdomain; high risk of phishing.

Risk Factors
Brand impersonation of Adobe on a non‑official domain
Credential harvesting form (password field only)
Unranked domain in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.portszz.vercel.app' is registered and includes subdomain 'www.portszz'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Segmentation suggests two 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 http://www.portszz.vercel.app/

Page Load Overview

0.95s
Total Load Time
318 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:562 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
52%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.195United States
AS16509Amazon.com, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
1104.16.78.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
77--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9F2DA3569792031BADF8693F19E0B0B3D628803DD0BB11075BD934D4FE9B8EC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JI/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1I3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35514:+IhMz5iZMwUEQCOHowB8gAEI1Qpt+BcQiwDAiAA9oACALRgWhAYQgArkv0AhYBDKIOQwmCFooeEQAIwRMWcKSMFPSkUUsICG

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:#798cd2

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data