Security Scan Report: www.adobeinstaller-virid.vercel.app

Redirected to:
https://adobeinstaller-virid.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 7 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.adobeinstaller-virid.vercel.app/

Effective URL:
https://adobeinstaller-virid.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confidently malicious fake 'PDF Viewer' page: impersonates Adobe and pushes an 'Adobe Reader' installer that is really a ScreenConnect remote-access agent, per analyst-vetted kit roster, hunting rule and 2-source phishing intel.

Risk Factors (6)
Known malicious phishing kit (fake Acrobat PDF viewer → ScreenConnect RMM installer) confirmed by analyst-vetted roster and hunting rule
Impersonation of Adobe branding and Adobe Reader update prompt on an unrelated vercel.app subdomain
Remote Monitoring and Management tool contacted per IDS (ScreenConnect), indicating remote-control payload delivery
Anti-analysis visitor gating: Windows-desktop-only requirement and honeypot/fingerprint/challenge fields
Multi-source phishing threat-intel match against the primary domain
Free instant-subdomain hosting with unknown actual creation date and no domain ranking
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.adobeinstaller-virid.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.adobeinstaller-virid'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

BUSINESS CONTRACT Ota treet & heme bees. Saw be dae @ ~ ate swewme ttmme me y come 8 tow a doce Fate epee em sh © tgw Ep hee be bbe owes Oe eRe oes yey el bo podem cn ap ws pas Ohd @ fu bey bow de...

Page Load Overview

1.66s
Total Load Time
440 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:943 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
72%
corporate business
57%
entertainment media
39%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
1142.251.14.147Google · CDNUnited States
AS15169Google LLC
1142.251.20.147Google · CDNUnited States
AS15169Google LLC
1142.251.13.103Google · CDNUnited States
AS15169Google LLC
1104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
1513--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156B5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3SXuT8+o7rjyHlnxXuT8+o7rbXuT8+o7rly2lnm:a5fyXS8+Q3MlnxXS8+QHXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285159:DCRDIgj4AkAWQUQLBEKAGxiQEHFgEUQQQeEAUyPYMRPAlSrR1CiYyDALFHMGwCZByAlOyREQOQlMhtYB4ITwriCIFgIEADYg

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:9c8484849c9c1c1c
Perceptual Hash:9e7709dd4d256f00
Difference Hash:313d0d3d3931b9b1
Wavelet Hash:9d9c84949c9c1d1d
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data