Security Scan Report: www.int2026.vercel.app

Redirected to:
https://int2026.vercel.app/
Submitted: Sep 23, 2026, 12:45:37 AMCompleted: Sep 23, 2026, 12:47:26 AMpubliccompleted

This website contacted 7 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is int2026.vercel.app and was registered 15 years ago.

Submitted URL: http://www.int2026.vercel.app/

Effective URL:

https://int2026.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Fake Adobe shared-document access page on a Vercel subdomain uses Adobe branding and a password/access-code field to harvest credentials. Avoid entering any code.

Risk Factors
Brand impersonation of Adobe on a non-official domain
Password field without username, collecting an access code
Unknown page age on a shared hosting platform subdomain
Unranked domain reputation
Medium IDS alerts for actor-abused cloud hosting service domain
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.int2026.vercel.app' is registered with subdomain 'www.int2026'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. Splitting it apart reveals 2 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.int2026.vercel.app/

Page Load Overview

0.91s
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
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.79.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
77--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191F2D93569792035BADF8693F19E0B0B3D628803ED07B11075BD934D4FA9BCEC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JW/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1W3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35524:mZTYgB2iE7AyZAmYAISH61NQGiCGQiMxACQ1qwzYpxA0jgBACISoAoj2jgBC4gJKjHKYrBAEqTIpgAcbTAdgVNUTMgEMG9GT

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:#931f6f

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data