Security Scan Report: www.index-newproject.vercel.app

Redirected to:
https://index-newproject.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 10 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.index-newproject.vercel.app/

Effective URL:
https://index-newproject.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Analyst-vetted fake 'PDF Viewer' kit impersonating Adobe to push a remote-access agent installer, with a CRITICAL hunting-rule hit and a Telegram bot token in the page script. Do not download or run anything.

Risk Factors (6)
Known malicious kit identified by analyst-vetted roster (fake PDF viewer → remote-access agent installer)
CRITICAL-severity hunting-rule match on the HTML body for the fake Acrobat Reader installer kit
Telegram bot token embedded in inline page script — potential exfiltration channel
Impersonation of Adobe/Acrobat Reader to push a fake installer
Free shared-hosting subdomain (vercel.app) with unknown creation date and no ranking; IDS flagged the cloud-hosting domain as actor-abused
Obfuscated/encoded inline JavaScript with high crypto-API usage and honeypot fields
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.index-newproject.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.index-newproject'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. Word splitting yields two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.index-newproject.vercel.app/

Page Load Overview

6.14s
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
1364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0142.251.14.99Google · CDNUnited States
AS15169Google LLC
0142.251.20.106Google · CDNUnited States
AS15169Google LLC
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
1315--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B95961B8E0F96A06B3828BF5787E6497010F79399C3A7A4F0DE4C4DF746E19264D26C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3FXuT8+o7rfyHlnayVXuT8+o7rly2lnm:a5flXS8+QTMlnaWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2037813:oOUAKGUxiuEByUBAhDgBEVMnEUICSBAIOFIAERQFeUCOaIoIfwBHEJiBHAIEUjaDIY4CigQqQ0DLAUTCxETCCbKBAEDxEyGi

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:#2dd24e

Scan History

Scan history not available

Unable to load historical scan data