Security Scan Report: www.new-indexproject.vercel.app

Redirected to:
https://new-indexproject.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 8 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.new-indexproject.vercel.app/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'PDF Viewer' on a free vercel.app subdomain: hidden fingerprint/honeypot fields, a Windows-only gate and Adobe-reader update lure, plus a phishing threat-intel report on the domain. No forms, but do not download anything.

Risk Factors (5)
Fake PDF viewer page used as a lure rather than displaying any document
OS-conditional gate ('designed for Windows desktop computers only') funneling visitors toward software downloads
Honeypot and hidden browser-fingerprint/challenge-token fields indicating deliberate bot filtering and visitor tracking
Single-source phishing threat-intel match on the primary domain
Free hosting-platform subdomain with no identity, contact details or legal pages
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

Domain 'www.new-indexproject.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.new-indexproject'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.17s
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
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
1142.251.20.103Google · CDNUnited States
AS15169Google LLC
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
1142.251.155.119Google · CDNUnited States
AS15169Google LLC
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1313--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9B5B61B8E0F56A07F3828BF5787A6497010F79395C3A794F0DF4C8DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3AXuT8+o7rfyHlnxXuT8+o7rLyVXuT8+o7rly2lnm:a5fgXS8+QTMlnxXS8+QXWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2415439:AASGX4RBY4IDJBZEWQA0EwiBhOBMKSDgsASRQqxgAWeoHs4QIAogQBLzRggCBxgokAuSQPoSgAgCHLSIkqQkRwysmDMAKC6B

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:#40bfa8

Scan History

Scan history not available

Unable to load historical scan data