Security Scan Report: cms.database.rag-online.org

Submitted: Apr 27, 2026, 1:22:33 PMCompleted: Apr 27, 2026, 1:24:01 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is cms.database.rag-online.org and was registered NaN years ago.

Submitted URL: https://cms.database.rag-online.org/combine/js/1776861260_0

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

The site shows no malicious activity, has an old established domain, and contains no forms or threats; it is classified as legitimate.

Safety Factors
Long‑standing domain registration
Absence of malicious indicators
No credential or payment collection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(54%)

Domain Information

You're looking at domain 'cms.database.rag-online.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'cms.database'. Count 10 characters in 'rag-online' split between four vowels and five consonants; it also includes one hyphen. Breaking it apart gives two words: rag, online. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cms.database.rag-online.org/combine/js/1776861260_0

Page Load Overview

0.60s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:486,535 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.181.162.153Switzerland
AS29222Infomaniak Network SA
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EC4FA94F39CB16246763067CC9E21EE703D5273B9044CFBBCA49B981CE491E42ABD79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:2X8oi1IQvyeC7Q47GKWX5hCMBfDNSyFI3g:2Xk1IOTC6fxSyiQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:567310:UyGYKDARzsQKVHEjBSkJKSA4uEA8AaaoAhUGh+hPRhFgQgCChAjcEJHSsgIQGEmHs0SkgUxQQOJKMWNiIp0oFSiCRgJIEhJA

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:ff010303010f0103
Perceptual Hash:aad9da90e5b594c2
Difference Hash:7b1b1b0f2b3f4f67
Wavelet Hash:ff037fa3011f0703
Color Hash:#d279a9

Other Hashes

Crop Resistant:7b1b1b0f2b3f4f67

Scan History

Scan history not available

Unable to load historical scan data