Security Scan Report: coder-eosin.vercel.app

Redirected to:
https://coder-eosin.vercel.app/
Submitted: Jul 9, 2026, 12:50:23 PMCompleted: Jul 9, 2026, 12:51:57 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is coder-eosin.vercel.app and was registered NaN years ago.

Submitted URL: http://coder-eosin.vercel.app

Effective URL: https://coder-eosin.vercel.app/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

The domain 'coder-eosin.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'coder-eosin'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. It segments into two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://coder-eosin.vercel.app

Page Load Overview

0.33s
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

government public service54% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
54%
news media journalism
52%
cryptocurrency blockchain
52%
healthcare medical
50%
real estate property
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United States
AS16509Amazon.com, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E73176B755B1702EF23788FE34E633646244951BC0960F59B558EFF4E2C7CA75023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7w0:nGi9ScnwEYw0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAQAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAIQAIAAQIAAMAAAAAQBA

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:0c0c3c24273f0f07
Color Hash:#87a2c5

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data