Security Scan Report: www.acrobat-pdf-download.vercel.app

Redirected to:
https://acrobat-pdf-download.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 5 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.acrobat-pdf-download.vercel.app/

Effective URL:
https://acrobat-pdf-download.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Adobe-branded phishing page on a vercel.app subdomain: a fake email/password login steals credentials and exfiltrates them to web3forms and a Telegram bot, corroborated by a HIGH ET PHISHING alert.

Risk Factors (5)
Brand impersonation of Adobe on an unranked shared-hosting subdomain unrelated to Adobe
Credential-harvesting login form (email + password) disguised as document access verification
Confirmed cross-origin credential exfiltration to api.web3forms.com and to Telegram via bot token
Network IDS phishing alert specific to an Adobe PDF phishing landing page
Anonymous, unattributable .vercel.app subdomain of unknown creation date
Domain age information unavailable

Details

Page Title

ADOBE PDF

Scan Type

public

Domain Name Analysis

The domain 'www.acrobat-pdf-download.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.acrobat-pdf-download'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 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

Security scan screenshot of https://www.acrobat-pdf-download.vercel.app/

Page Load Overview

0.91s
Total Load Time
826 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical68% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
68%
news media journalism
57%
government public service
56%
healthcare medical
51%
technology software
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.207.210.68Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
034.120.149.37Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.207.210.92Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
68--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168E1725A15B309511A53E0B53BEBB1003122D00B2D09EDAA7FED839C4F4EF1596B37D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrFA63OgsATKCq689uJoTVgD3Am+aQbU5JuAALNj:BrOCOHzGQgoRgHYbObAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7337:hAgRhhY2nS0pSyC6irKiAxlyCEoIKsMBEAICARQEwhJOUFYHCSBKBwhA7AgimaMQBIAgUAACIQURAo0LJzoLUxZUVLXASQYy

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:ffb1f383e1e0d0f0
Perceptual Hash:ec92d849a7b493c9
Difference Hash:2735674743233307
Wavelet Hash:ff91f183a1e0d0f0
Color Hash:#879ac5

Other Hashes

Crop Resistant:2735674743233307

Scan History

Scan history not available

Unable to load historical scan data