Security Scan Report: new-indexproject.vercel.app

Redirected to:
https://new-indexproject.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 9 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://new-indexproject.vercel.app/

Effective URL:
https://new-indexproject.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Analyst-vetted 'PDF Viewer' kit impersonating Adobe: a fake Acrobat Reader installer delivers a remote-access agent. Do not download or run anything; report the page.

Risk Factors (6)
Known malicious kit roster match (fake PDF viewer → remote-access agent)
CRITICAL high-precision hunting-rule detection of the fake Acrobat installer kit
Impersonation of Adobe branding on an unrelated vercel.app subdomain
Telegram bot token embedded in inline page script for exfiltration of collected data
Victim-fingerprinting and honeypot fields with OS-gated delivery of a fake installer
Untrusted free hosting subdomain (vercel.app) with unknown creation date, flagged by IDS as an actor-abused cloud hosting service
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'new-indexproject.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'new-indexproject'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://new-indexproject.vercel.app/

Page Load Overview

3.41s
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
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.154.119Google · CDNUnited States
AS15169Google LLC
1142.251.110.105Google · CDNUnited States
AS15169Google LLC
1192.178.183.106Google · CDNUnited States
AS15169Google LLC
1142.251.20.105Google · CDNUnited States
AS15169Google LLC
1104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1313--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CA5A61B8E0F96A06B3828BF5787E6497010F79399C3A794F0EE4C4DF646E1D264D26C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3AXuT8+o7rjyNlnnlnTXuT8+o7rly2lnm:a5fgXS8+Q3UlnnlnTXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2106086:BYDkDEMaDoFihZQEAD4gxbJIAAEBCIxOYi5qKWUAqQBcCAN4HmmCgoAIsVUEACEcUGkMIgCxUUIAXQkCND0qBAgoiQB8QBon

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:9e7709ddcd616700
Difference Hash:313d0d3d393939b1
Wavelet Hash:9d9c84949c9c1c7f
Color Hash:#acac53

Scan History

Scan history not available

Unable to load historical scan data