Security Scan Report: adpdf-download.vercel.app

Redirected to:
https://adpdf-download.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://adpdf-download.vercel.app/

Effective URL:
https://adpdf-download.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Adobe-branded credential phishing kit on a Vercel subdomain that harvests email/password and exfiltrates them to a Telegram bot. Do not enter credentials.

Risk Factors (6)
Adobe brand impersonation on a non-Adobe .vercel.app subdomain
Credential harvesting form (email + password) with fake 'login' gate to view a document
Credentials exfiltrated to a Telegram bot via embedded bot token
Known malicious phishing kit matched by hunting rule Telegram_PDF_Login_Attempt_Kit
HIGH-severity IDS phishing alert for Adobe PDF landing page
Unranked domain on an actor-abused free hosting platform
Domain age information unavailable

Details

Page Title

ADOBE PDF

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'adpdf-download.vercel.app' is registered with subdomain 'adpdf-download'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Segmentation suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Every tool you need to work: PDFs in one place. Email verification is required. Sign in your email to view the document

Page Load Overview

3.31s
Total Load Time
827 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
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.194.190.228Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
034.120.149.37Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.194.190.208Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
67--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152E1615A15B309551A53E0B53BEBB1003122D01B2E09EDAA7FED839C4F4EF1496B37D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrFA63OgsbUnTKCq689uJoTVgD3Am+aQbU5JuAALNj:BrOCOHbxGQgoRgHYbObAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7337:hAgRhhY2nS0pSyC6irKiAxlyCEoIKsEAEAICARQEwhJOUFYHCSBOBwhA7AkimaMQBIAgUAACIQURAo0LJzoLUxZUVDXASQYy

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:N/A

Other Hashes

Crop Resistant:2735674743233307

Scan History

Scan history not available

Unable to load historical scan data