Security Scan Report: www.drysdalebaconmcstravick.vercel.app

Redirected to:
https://drysdalebaconmcstravick.vercel.app/
Submitted: Sep 15, 2026, 3:45:41 PMCompleted: Sep 15, 2026, 3:46:32 PMpubliccompleted

This website contacted 8 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is drysdalebaconmcstravick.vercel.app and was registered 15 years ago.

Submitted URL: https://www.drysdalebaconmcstravick.vercel.app/

Effective URL:

https://drysdalebaconmcstravick.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Adobe 'shared document' page on an unranked vercel.app subdomain that asks for an access code and captures a password field; phishing IoC on its own domain. Classic credential phishing — do not enter anything.

Risk Factors (6)
Indicators of Compromise: phishing report against the page's own primary domain
Brand Impersonation of Adobe on a domain that is not Adobe's
Password field without corresponding username field (credential harvesting)
Fake document access-code gate with re-entry/error loops typical of phishing kits
Unranked domain in Cisco Umbrella top 1M while claiming a major-brand service
Instant-publish hosting subdomain (.vercel.app) with unknown page creation date
Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

Domain 'www.drysdalebaconmcstravick.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.drysdalebaconmcstravick'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.drysdalebaconmcstravick.vercel.app/

Page Load Overview

6.12s
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
6216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
68--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116F2DA3569792035BADF8693F19E0B0B3D628803DD0BB11075BD935D4FA9BCEC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JT/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1T3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35522:UkhiQlMCNsQmlKDNEhiiuBEVARcsReMAFNAUkdAppFIJABuIEBUNoKFUW11BS9BHACSCIAgAA4yQxIeECEUKTDFBuiUQEPEj

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:#5382ac

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data