Security Scan Report: test-mu-six-17.vercel.app

Redirected to:
https://test-mu-six-17.vercel.app/en/next.html
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 7 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://test-mu-six-17.vercel.app/en/next.html

Effective URL:
https://test-mu-six-17.vercel.app/en/next.html
Redirected

Downloads:

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Confirmed phishing/social-engineering page impersonating DocuSign and ScreenConnect on a vercel.app subdomain, pushing a fake 'download and sign' install. Safe Browsing Social Engineering hit plus phishing IoC. Do not interact.

Risk Factors (6)
Brand impersonation of DocuSign (signature service) and ScreenConnect on a non-official domain
Social-engineering download/install bait rather than a real document viewer
Free hosting subdomain (vercel.app) with unknown page creation age
Unranked domain (not in Cisco Umbrella top 1M) claiming to be a major brand
Telegram API and ipify external lookups plus 12 network IDS alerts (Vercel abused-hosting, Telegram)
Third-party IoC on linked resource (149.154.166.110 known attacker)
Domain age information unavailable

Details

Page Title

e-sign

Scan Type

public

Domain Name Analysis

You're looking at domain 'test-mu-six-17.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'test-mu-six-17'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

docusign. (§)ScreenConnect Complete the form/PDF Latest DocuSign ScreenConnect Secure Access required. Downloading automatically. Install or open to view File. No download? Click DOWNLOAD AND SIGN,...

Page Load Overview

3.69s
Total Load Time
254 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:192 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical41% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
41%
technology software
38%
entertainment media
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
145.43.142.4United Kingdom
AS16276OVH SAS
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1510--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F912D60343A34235680B81BC5BB365043066C817A274E9F47F9F4555EF4DBE06AAA7DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrRS25sVcO3yEAA9eRzp9wRJ6hcmU+RvVa2HMpJEBqcdF:BrrtU4vVa20EBqcj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9148:FoEMAQCElGQlksFgUAdIxRaI4QUBCSGQIBODb0upomHgFSMBEUxP0oRChJFCKAKGAoQDkAkNlA0CKQIACCjBCiSLwcQugpYp

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:3fffc7c7c3cbefff
Perceptual Hash:b9c6c73906c73938
Difference Hash:e0101c0e969a1822
Wavelet Hash:00cfc7c38381cfe7
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data