Security Scan Report: corn-ng.netlify.app

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Submitted: Jun 17, 2026, 5:23:16 AMCompleted: Jun 17, 2026, 5:24:30 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Moderate risk due to unknown subdomain age and heavily obfuscated JavaScript, but no malicious activity detected.

Risk Factors
Unknown subdomain age (could be newly created)
High JavaScript obfuscation score
Unranked domain
Safety Factors
No forms collecting passwords or payment data
No credential exfiltration observed
No known malicious kits or IoC matches
No external malicious resources loaded
Domain age information unavailable

Details

Page Title

Corn Unblocked

Scan Type

public

Domain Name Analysis

You're looking at domain 'corn-ng.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'corn-ng'. The core label 'netlify' covers 7 characters containing 2 vowels alongside five consonants. It segments into three words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://corn-ng.netlify.app

Page Load Overview

3.83s
Total Load Time
156 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:476 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
57%
cryptocurrency blockchain
49%
adult content
39%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
835.157.26.135Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
81--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB71ADE0465DEB2B13730C890C535705788B8846C9BFB6057AACB1F52BCBC5E6D4E15B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nvpJ//jnUc82c52nHf3qn4tm/GqhS0HJrEL:vn/L6JGmtQL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3742:AAwAIpAoACCAAUBCKACGAAwQAYAgAEIgDEAQCCAIiBLAFBBAEAMBelEAAAACFVQCAgAQQAAgqIEIAEAgUQJAAQCEgAIjHAAY

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:83839fffc3ffffff
Perceptual Hash:bc3c3cc3c3c3c392
Difference Hash:263638120e08140c
Wavelet Hash:030383ff03270327
Color Hash:#ae2dd2

Other Hashes

Crop Resistant:263638120e08140c

Scan History

Scan history not available

Unable to load historical scan data