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Security Scan Report: www.adobepdf.vercel.app

Redirected to:
https://adobepdf.vercel.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/92c5abf1-99dc-40c1-a1b8-84f22c666f10Domain and IP registration (RDAP)/api/v1/rdap/92c5abf1-99dc-40c1-a1b8-84f22c666f10How often this domain was scanned/api/v1/domain/stats/adobepdf.vercel.appScan history for this domain/api/v1/domain/history/adobepdf.vercel.app?limit=15
This website contacted 0 IPs in 0 countries across 5 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.adobepdf.vercel.app/

Effective URL:
https://adobepdf.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Fake Adobe PDF login page that steals email and password and exfiltrates them to a Telegram bot. Confirmed phishing kit. Avoid interaction and report.

Risk Factors (7)
Brand impersonation of Adobe on a non-official domain
Credential harvesting via email/password login form
Credential exfiltration to a Telegram bot
Known malicious phishing kit (analyst-vetted)
High-severity hunting rule malware pattern match
High-severity IDS phishing alert
Hosted on a free app-hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

ADOBE PDF

Scan Type

public

Domain Name Analysis

Domain 'www.adobepdf.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.adobepdf'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 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

0.75s
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

Detected Technologies2

PasswordField
100%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122E1825A15B309511A53E0B53BEBB1003122D00B2E09EDAA7FED839C4F4EF1496B37D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrFA63OgsdTKCq689uJoTVgD3Am+aQbU5JuAALNj:BrOCOHoGQgoRgHYbObAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7337:hAhRhhY2nS0pSyC6irKiAxlyCEoIKsEAEAICARQEwhJOUFYHCSBKBwhA7AgimaMQBIAgUAACIQURAo0LJzoLUxZUVDXASQYy

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