Security Scan Report: int2026.vercel.app

Submitted: Sep 23, 2026, 12:45:36 AMCompleted: Sep 23, 2026, 12:47:10 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'Adobe shared document' access-code page on a free vercel.app subdomain, impersonating Adobe with a password-only field to harvest a victim's code. Do not enter any credentials.

Risk Factors
Impersonation of Adobe brand on a domain that is not Adobe's official domain
Password-only field (no username) consistent with access-code/credential harvesting
Free instant-publish hosting subdomain with unknown creation date
Unranked domain claiming a major software brand
Deceptive gate designed to capture a code the victim was told to enter
Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

The domain 'int2026.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'int2026'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://int2026.vercel.app/

Page Load Overview

0.58s
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
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.16.79.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
57--

Detected Technologies2

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:#1f9370

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data