Security Scan Report: globalrecalls.oecd.org

Redirected to: https://globalrecalls.oecd.org/#/

Submitted: Nov 25, 2025, 4:23:15 AMCompleted: Nov 25, 2025, 4:25:44 AMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 5 domains to perform 38 HTTP transactions. The main domain is globalrecalls.oecd.org and was registered NaN years ago.

Submitted URL: https://globalrecalls.oecd.org/

Effective URL: https://globalrecalls.oecd.org/#/Redirected

The Cisco Umbrella rank of the primary domain is #125,059 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security risk.

Safety Factors
Official organization hosting
Long‑standing domain registration
Low traffic ranking does not indicate malicious activity
Domain age information unavailable

Details

Page Title

Global Recalls portal (OECD)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(46%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'globalrecalls.oecd.org' is registered, featuring subdomain 'globalrecalls'. Its registrable label 'oecd' stretches across 4 characters split between two vowels and two consonants. It segments into one word: oecd. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://globalrecalls.oecd.org/

Page Load Overview

0.77s
Total Load Time
38
HTTP Requests
5
Domains
1.7 MB
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:9,885 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
46%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3078.41.128.157France
AS31367Zayo Infrastructure France SA
4172.217.23.99United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
32a00:1450:4001:829::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32001:4860:4802:32::36United States
AS15169GOOGLE
32a00:1450:4001:82a::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32001:4860:4802:34::36United States
AS15169GOOGLE
32a00:1450:4001:829::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2142.250.186.110United States
AS15169GOOGLE
1142.250.185.168United States
AS15169GOOGLE
3811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0E4F760AB40207EB767C33AB5C0FD45572DD212D42B5E7BF2653B688FC258A41B3E1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:XnBDDpirGEQWl5CHwvef+jt+CH9o4RRsn9S1xGDJ/TiLSm:XnBDv4+Cdo4RR09SyDJfm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:704355:CSWZLDigBBKjE3wD6BgqHwKhBhFQCAAQnACYYcIIgcAsCigAsJqADACraCDEzgiIhGAOUs51kJZoMlFoAAgkFiVYBlAjMT4A

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:0000fcffffffffff
Perceptual Hash:98461eacbcbcb8b8
Difference Hash:2ae1909e9399959b
Wavelet Hash:8300005f5f4fdfc7
Color Hash:#3a7840

Scan History

Scan history not available

Unable to load historical scan data