Security Scan Report: rr-middleeast.woah.org

Submitted: Nov 6, 2025, 10:51:05 AMCompleted: Nov 6, 2025, 10:52:20 AMpubliccompleted
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Summary

This website contacted 65 IPs in 2 countries across 12 domains to perform 35 HTTP transactions. The main domain is rr-middleeast.woah.org and was registered NaN years ago.

Submitted URL: https://rr-middleeast.woah.org/en/about-us/regional-members-of-woah/the-united-arab-emirates-uae/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Absence of malicious Indicators of Compromise
No password or payment fields present
Domain age information unavailable

Details

Page Title

The United Arab Emirates (UAE) - WOAH - Middle East

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

You're looking at domain 'rr-middleeast.woah.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'rr-middleeast'. The core label 'woah' covers 4 characters containing two vowels alongside 2 consonants. Segmentation suggests 2 words: wo, ah. Average segment length settles at two characters. Most frequently, 'wo' shows up in German. You will also see it in Tagalog and Portuguese (Brazil) contexts.

Screenshot

Security scan screenshot of https://rr-middleeast.woah.org/en/about-us/regional-members-of-woah/the-united-arab-emirates-uae/

Page Load Overview

26.72s
Total Load Time
35
HTTP Requests
12
Domains
542 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-GB
Text Length:9,348 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3518.172.112.16United States
AS16509AMAZON-02
0104.16.80.73United States
AS13335CLOUDFLARENET
03.126.133.169Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0172.67.69.158United States
AS13335CLOUDFLARENET
018.157.122.248Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0104.26.9.153United States
AS13335CLOUDFLARENET
0142.250.185.232United States
AS15169GOOGLE
065.8.131.118United States
AS16509AMAZON-02
0104.26.8.153United States
AS13335CLOUDFLARENET
0146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3565--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13653D8A1818C393E570E7296902CA359A5EF4D34EE5229E1F3FF526C8BC2ED1447F11A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OkV2GB3Auw09ZdapzZwDP0Ub4S1IsB4fcVSiLnxQAbRnczPxu4EYfj+7F9cd/eY4:OIaptwDP0UdIGTnO6Ex1+7FSd/rx/j6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65357:HDQRWGFTnqgHiSSIcAuAzQK6BbUgCiAQxJLAMDsvARB4TEgREQWBKRoVFQHCgYuiBiCgsjQqQLkoIrDDhmXRLhBLAGASAJME

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:ffff81e7e1f1ffd3
Perceptual Hash:ee0b9cc867936c68
Difference Hash:6233234f83431eb6
Wavelet Hash:fb9f81a1e181c3c3
Color Hash:#783a6f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data