Security Report: nedionpsin.vercel.app - Analysis

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/37c5a125-cc50-4a82-8534-184097a6c035 Domain and IP registration (RDAP)/api/v1/rdap/37c5a125-cc50-4a82-8534-184097a6c035 Certificate Transparency/api/v1/ct/nedionpsin.vercel.app How often this domain was scanned/api/v1/domain/stats/nedionpsin.vercel.app Scan history for this domain/api/v1/domain/history/nedionpsin.vercel.app?limit=15

This website contacted 6 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is nedionpsin.vercel.app and was registered 15 years ago.

Submitted URL: http://nedionpsin.vercel.app/

Effective URL:

https://nedionpsin.vercel.app/

Redirected

AI Security Verdict

High Risk

Confidence: 82%

Risk Score

Fake 'Adobe shared document' page on a vercel.app subdomain impersonating Adobe and presenting a password/access-code field on a non-Adobe domain — a credential-phishing lure. Avoid entering any code or credentials.

Risk Factors

Impersonation of Adobe (a different entity's brand) on a non-Adobe, unranked domain

Password field without a username field — disguised credential collection pattern

Fake 'shared document / access code' gate used to solicit credentials

Free hosting subdomain with unknown creation date and no reputation

Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

Domain 'nedionpsin.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'nedionpsin'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

1.19s

Total Load Time

317 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
1	216.198.79.195Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	104.17.207.5Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	104.16.79.6Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	216.198.79.67Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	146.75.121.137Fastly · CDN	Frankfurt am Main, Hesse, Germany	AS54113Fastly, Inc.
1	64.29.17.67Aws · CLOUD	United States	AS16509Amazon.com, Inc.
6	6	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AF2DA3569792035BADF8693F19E0B0B3D628803DD07B11075BD934D4FE9B8EC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JM/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1M3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35533:TkBmQgREkKIahBMIwKQOQwKUXSAGEAsAwACFjWFFAlShHfjnkTwUgBSgpOExiAEaDPZIhAYgmpCDRIBIqDElJCAvEIBpGYoc

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:#1f9359

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: nedionpsin.vercel.app