Security Scan Report: coder-eosin.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

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.

Security Verdict: High Risk

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

You're looking at domain 'coder-eosin.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'coder-eosin'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.19s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain62% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
62%
government public service
57%
news media journalism
56%
real estate property
54%
healthcare medical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C3176B745B1702EF73788FD34E637646244951BC0920F59F619EBB4E2C7CA75023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7Y0:nGi9ScnwEYY0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAEAAAAEgACYAAIAACBAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAAAAQIAAMAAAAAQAg

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:3c3c3c24e0f0fce4
Color Hash:#6ce087

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data