Security Scan: ADOBE PDF

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7fdb90d9-bf1b-4bea-b519-d1949b7c000a Domain and IP registration (RDAP)/api/v1/rdap/7fdb90d9-bf1b-4bea-b519-d1949b7c000aHow often this domain was scanned/api/v1/domain/stats/adobesign-review.vercel.app Scan history for this domain/api/v1/domain/history/adobesign-review.vercel.app?limit=15

This website contacted 7 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://adobesign-review.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 99%

Risk Score

Confirmed Adobe-branded PDF phishing kit on a vercel.app subdomain: an email/password form whose values are sent to a Telegram bot, matching an analyst-vetted kit and a HIGH-severity IDS phishing alert. Do not enter credentials.

Risk Factors (5)

Page impersonates Adobe PDF on a domain unrelated to Adobe (adobesign-review.vercel.app)

Email + password login form collecting credentials

Credentials routed to a Telegram bot via an embedded bot token

Additional cross-origin POST to api.web3forms.com (form-backend exfiltration channel)

Hosted on a free app-hosting subdomain whose real creation date is unknown; listed by IDS as an actor-abused cloud hosting service

Domain age information unavailable

Details

Page Title

ADOBE PDF

Scan Type

public

Domain Name Analysis

The domain name 'adobesign-review.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'adobesign-review'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

0.57s

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

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
5	64.29.17.131Aws · CLOUD	United States	AS16509Amazon.com, Inc.
0	216.198.79.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
0	23.194.190.208Akamai · CDN	Frankfurt am Main, Hesse, Germany	AS20940Akamai International B.V.
0	188.114.96.3Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
0	34.120.149.37Google · CDN	Kansas City, Missouri, United States	AS396982Google LLC
0	64.29.17.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
0	23.194.190.228Akamai · CDN	Frankfurt am Main, Hesse, Germany	AS20940Akamai International B.V.
5	7	-	-