Security Scan Report: obnr.vercel.app

Redirected to:
https://obnr.vercel.app/
Submitted: Aug 26, 2026, 1:45:45 AMCompleted: Aug 26, 2026, 1:50:00 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is obnr.vercel.app and was registered 6 years ago.

Submitted URL: http://obnr.vercel.app/

Effective URL: https://obnr.vercel.app/Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(56%)

Domain Information

The domain name 'obnr.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'obnr'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://obnr.vercel.app/

Page Load Overview

0.45s
Total Load Time
3
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism56% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
56%
government public service
55%
cryptocurrency blockchain
54%
healthcare medical
52%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131United States
AS16509Amazon.com, Inc.
31--

Page Statistics

3
Requests
1
Unique Domains
2.0 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A03154B745B1702EF33B88FD34E637646244811BC0960F59F658BFB8E2D7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7s90:TGi9ScnwEYY0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAIGAAAAABAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:0f0f3f2720303c24
Color Hash:#783a64

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data