Security Scan Report: adobepdf-gold.vercel.app

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 4 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://adobepdf-gold.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Adobe-impersonating phishing page on a free vercel.app subdomain; its fake PDF login sends the entered e-mail and password to a Telegram bot. Kit roster, hunting rule and IDS phishing alerts all agree. Do not enter credentials.

Risk Factors (6)
Known malicious phishing kit identified by analyst-vetted roster
CRITICAL hunting rule malware match (Telegram_PDF_Login_Attempt_Kit)
Credentials exfiltrated to an external service (api.web3forms.com) and to a Telegram bot
Impersonation of Adobe branding on a non-Adobe domain
Credential-harvesting login form (e-mail + password) gated behind a fake 'email verification is required' pretext
Hosted on a free instant-publishing subdomain (.vercel.app) with unknown creation date, repeatedly abused for these kits
Domain age information unavailable

Details

Page Title

ADOBE PDF

Scan Type

public

Domain Name Analysis

Domain 'adobepdf-gold.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'adobepdf-gold'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. It segments into two words: ver, cel. Median word length is three characters. 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

0.34s
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
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
134.120.149.37Google · CDNKansas City, Missouri, United States
AS396982Google LLC
123.207.210.68Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.207.210.87Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
58--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5E1709615B319511A53E0B57BEBB1003122D00B2D09EDAA7FED839C4F4EF1496B37D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrFA63Ogs5PMCq689uJoTVgD3Am+aQbU5JuAALNj:BrOCOH+GQgoRgHYbObAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7337:hAgRhhY2nS0pSyC6iqKiAxlyCEoIKsEAEAICARQEwhJOUFYPCSBKBwhA7AgimaMABIAgUAACIQURAo0LJzoLUxZUVDXBSQYy

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:07000008006

Other Hashes

Crop Resistant:2735674743233307

Scan History

Scan history not available

Unable to load historical scan data