Security Report: www.portszz.vercel.app - Analysis

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2161a434-8b39-437a-ad44-7a19fcb3c95f Domain and IP registration (RDAP)/api/v1/rdap/2161a434-8b39-437a-ad44-7a19fcb3c95f Certificate Transparency/api/v1/ct/portszz.vercel.app How often this domain was scanned/api/v1/domain/stats/portszz.vercel.app Scan history for this domain/api/v1/domain/history/portszz.vercel.app?limit=15

This website contacted 6 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: 85%

Risk Score

Fake Adobe shared-document page on a Vercel subdomain prompts for an access code/password while impersonating Adobe Acrobat. Avoid entering credentials; report as phishing.

Risk Factors (4)

Impersonates Adobe with 'Adobe Reader' and 'Adobe Acrobat' branding on a non-Adobe domain

Password field without a username, consistent with credential/access-code harvesting

Unknown-age Vercel subdomain with no Cisco Umbrella ranking

Uses a shared hosting subdomain frequently associated with abuse

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; it also runs on subdomain 'www.portszz'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

5.68s

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

Requests	IP Address	Location	AS Autonomous System
2	216.198.79.67Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	64.29.17.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	104.17.207.5Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	146.75.121.137Fastly · CDN	Frankfurt am Main, Hesse, Germany	AS54113Fastly, Inc.
1	216.198.79.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	104.17.208.5Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
7	6	-	-

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:#d22d69

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: www.portszz.vercel.app