Security Scan Report: docusign-v2review.vercel.app

Submitted: Completed: publiccompleted
This website contacted 6 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://docusign-v2review.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake DocuSign page on vercel.app using a spoofed Cloudflare check to push a Docusign_installer.zip download; embedded Telegram bot token enables data exfiltration. Brand impersonation plus malware delivery — do not download or interact.

Risk Factors (6)
Impersonation of DocuSign branding on a non-official, unranked vercel.app subdomain
Distribution of an installer archive (Docusign_installer.zip) presented as a required security/browser update
Urgency and fake update pressure ('Your DocuSign Client is Out of Date', 10-second countdown)
Telegram bot token in page JavaScript enabling exfiltration of victim data
Obfuscated brand imitation of Cloudflare in the 'human verification' gate
Network IDS flagged actor-abused cloud hosting (vercel.app) in DNS query and TLS SNI
Domain age information unavailable

Details

Page Title

DocuSign - Secure Document

Scan Type

public

Domain Name Analysis

You're looking at domain 'docusign-v2review.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'docusign-v2review'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Word splitting yields 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

@ Security Check Verify you are human to continue. Verity you are human Cloudtare verification Click the checkbox to confirm you are human. This security check protects against automated access....

Page Load Overview

0.45s
Total Load Time
29 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,627 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service32% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
32%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
56--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6B3F92B62F3002A682751A97BE75B0A73719003D10BC9657E9D6258CFC9BC1DAB37DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zgCk1rUJ2tIbsey0w5AKCGAdxCGohCW/UT7Je1OX:SeveCGuCGs6o1+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118083:AgALBLIC6gsAlhSScJFAJmGzYhs5CMlkyJgqhgAGMEt4LMAKoPQAOBBVwxZIagGkAD1cAAMiNwUBlqjEBdyGBDQtJMAggEzC

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:cfffefc7cfffffcf
Perceptual Hash:b13c9cdc313b38cc
Difference Hash:9040081810002018
Wavelet Hash:ccfcf8c003333f03
Color Hash:N/A

Other Hashes

Crop Resistant:9040081810002018

Scan History

Scan history not available

Unable to load historical scan data