Security Scan Report: nblocker.vercel.app

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 1 country across 6 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://nblocker.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Open-source node-unblocker proxy demo on a vercel.app subdomain. No credential or payment collection, no brand impersonation, no Indicators of Compromise or malware hits; only generic cloud-hosting reputation alerts.

Risk Factors (3)
Anonymous free hosting subdomain (vercel.app) whose actual creation date is unknown and that is not in the Cisco Umbrella top 1M
Open proxy that relays arbitrary third-party web content, so material shown to users is outside the site's control
Page is ad-supported (Google AdSense/AdTrafficQuality) and uses several eval() calls typical of bundler/framework output
Safety Factors (5)
No credential or payment form: 0 password fields, 0 disguised password fields, 0 payment fields, and no cross-origin form action
Site displays its own brand only; no impersonation of another entity
Named author and linked GitHub repository for the open-source Node Unblocker project
No Indicators of Compromise, no YARA malware patterns, no malicious-kit roster match, no IDS phishing or malware alert
Pages.dev/vercel.app-style developer subdomains are not automatically high risk; content here reads like a functional utility demo
Domain age information unavailable

Details

Page Title

Node Unblocker

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'nblocker.vercel.app' is registered, featuring subdomain 'nblocker'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nblocker.vercel.app/

Page Load Overview

0.65s
Total Load Time
312 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:536 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.157Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1192.178.183.154Google · CDNUnited States
AS15169Google LLC
1142.251.20.132Google · CDNUnited States
AS15169Google LLC
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.156Google · CDNUnited States
AS15169Google LLC
1142.251.110.154Google · CDNUnited States
AS15169Google LLC
1812--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D521976E5111556707B8832F4A5F7CD161E860FFA438DA039DC5720AF4CA9B88AB2FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fE/zm0Wwadd/hCyJc7sAzo+SM+OFON69Ta/Fsp0/ui3FCToBpvZYm7LMnituFRmR:fxjgSD/xRF48pv38iqELxpvz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13448:EAKW26JAJicVESziAScCBSKAA4AXMleMSiBUBNhckWgFAhiAKAKocoUgA6uIRwExjAlaIKO4UiEAQCbHgUhOqrpMRApODAgE

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:3c3c3c3c00000000
Perceptual Hash:cece6c3131776464
Difference Hash:6161616978040000
Wavelet Hash:3c3c3c3c3c000000
Color Hash:#4fbf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data