Security Scan Report: yobro.vercel.app

Submitted: Completed: publiccompleted
This website contacted 13 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://yobro.vercel.app/

AI Security Verdict

Low Risk

Confidence: 65%

3
Risk Score

Open-source Node Unblocker proxy on a free vercel.app subdomain. No credential or payment forms, no impersonation, no malware or threat-intel hits. Circumvention tools warrant caution, but evidence stays low risk.

Risk Factors (4)
Publicly accessible circumvention proxy advertised as a way to 'evade filters and censorship' — a tool category frequently abused for anonymized browsing
Free hosting-platform subdomain (vercel.app) of unknown creation date with no domain reputation
239 eval() calls and inline scripts using encoding/decoding functions (consistent with a content-rewriting proxy, but reduces auditability)
Network IDS flags vercel.app as a commonly actor-abused cloud hosting domain
Safety Factors (5)
No credential, login or payment form present anywhere on the page
No brand impersonation — the page presents its own project identity, not another organisation's
Identifies itself as open-source software with named author and GitHub source reference
No Indicators of Compromise, no JavaScript malware signatures, no known malicious kit
Third-party scripts are ranked Google advertising/font domains
Domain age information unavailable

Details

Page Title

Node Unblocker

Scan Type

public

Domain Name Analysis

You're looking at domain 'yobro.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'yobro'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Noel nee “ANAK URLFor,Search: Node_Unblockerisa wed proxyysl CGIProxyXPHProxyYor, YorGlypex that al ‘allows"users ovevaile.filters”and censorshipvand "access Now,compatible with Youtube (it replace...

Page Load Overview

1.10s
Total Load Time
315 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:676 chars
Detector Agreement:79%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
68%
cryptocurrency blockchain
50%
documentation technical
46%
entertainment media
34%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.110.155Google · CDNUnited States
AS15169Google LLC
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.14.155Google · CDNUnited States
AS15169Google LLC
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.154Google · CDNUnited States
AS15169Google LLC
1142.251.110.113Google · CDNUnited States
AS15169Google LLC
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1813--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18952197BE452056674779471F5EAE6C8111A820FFA43CDA03D9C5320AF4CA9B88573FD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fcXSWwal/hD8M4FmsktX69TsKlwp0fui3dTXuL0Jesbi2kuFioWibu9Aq:fojN4FfkttGx5XOail9ibs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14374:IAIqJEQEPwEoIiBgEU0WwDAhyYoEkyAGNQoi0gboJiOAAiCIgSoKRNsUyFMAnoEkAIRGSHCYtOCEVugYCHZSQEBAwCKaKIR0

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:3c3c3c3c3c000000
Perceptual Hash:cece713133667431
Difference Hash:6161616169062000
Wavelet Hash:fcfcfcfc3c300000
Color Hash:31e00000000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data