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Security Scan Report: realworldocaml.org

Redirected to: https://dev.realworldocaml.org/

Submitted: Nov 13, 2025, 1:19:40 PMCompleted: Nov 13, 2025, 1:20:41 PMpubliccompleted
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Summary

This website contacted 23 IPs in 0 countries across 5 domains to perform 24 HTTP transactions. The main domain is dev.realworldocaml.org and was registered NaN years ago.

Submitted URL: https://realworldocaml.org/

Effective URL: https://dev.realworldocaml.org/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Standard hosting without suspicious redirects
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Real World OCaml

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'realworldocaml.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The second-level label 'realworldocaml' is 14 characters long holding 5 vowels versus nine consonants. Tokenizing the label suggests four words: real, world, o, caml. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://realworldocaml.org/

Page Load Overview

16.65s
Total Load Time
24
HTTP Requests
5
Domains
566 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:16 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2184.24.77.138UnknownUnknown
1185.199.108.153UnknownUnknown
1184.24.77.156UnknownUnknown
1185.199.109.153UnknownUnknown
1185.199.110.153UnknownUnknown
123.55.48.64UnknownUnknown
123.55.48.105UnknownUnknown
1104.17.24.14UnknownUnknown
1184.24.77.148UnknownUnknown
1184.24.77.134UnknownUnknown
2423--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F3294A16188002BC30616683DC6BAAC346779275DE54C867A7C0D94DFC3DA63B3376F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sMNl1CXkmf5joQsPHWbvtxvTGK0eg7SDkc33X4GVlyo29T:sMN/yRt9nW7SD9HX4go

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11207:BEAZBE6A0BBAaGhDIfhuCMexPRIFUggVUgQGRkBGNQAIYFCQDLe4LYmZMUqw4IwyBEFlxKuSwgTYcBicACEigvWQjkCgXQCG

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:00000000f0ffffff
Perceptual Hash:ef6fb0b04b07b070
Difference Hash:4141414103282b20
Wavelet Hash:80808000f8ffffff
Color Hash:#783a66

Other Hashes

Crop Resistant:4141414103282b20,302e1c9c961e1ae2,0101010101010101,c3c3d3d3d3d37303

Scan History

Scan history not available

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