Security Scan Report: data.imf.org

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Submitted: Jun 11, 2026, 12:49:48 PMCompleted: Jun 11, 2026, 12:51:07 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is data.imf.org and was registered NaN years ago.

Submitted URL: https://data.imf.org/en/datasets/IMF.STA:PPI

The Cisco Umbrella rank of the primary domain is #109,591 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

The site is a legitimate IMF subdomain with no malicious activity detected.

Safety Factors
Established domain with long registration history
Official brand subdomain
No malicious signals in scans
Domain age information unavailable

Details

Page Title

PPI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(38%)

Domain Information

You're looking at domain 'data.imf.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'data'. The registrable portion 'imf' spans 3 characters with one vowel and 2 consonants. It segments into one word: imf. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://data.imf.org/en/datasets/IMF.STA:PPI

Page Load Overview

5.86s
Total Load Time
40
HTTP Requests
5
Domains
386 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:1,031 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
38%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2013.226.244.50United States
AS16509Amazon.com, Inc.
2023.50.131.145Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
402--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15834B8B062759C7F060F717569A4AB0D3357A32AB5C80FE5DBADCE69688FC5CB903050

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DA9SQOzLePzjwelQmHvHJgf6eP31R9RBg4S1xuvGTIlHmHvH9GoU4PGw4PMggX:ZuTgiAay1xO7g4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231258:5yRQmIAKJojKOC0kCzEoHGBKgCGSRFDAgBYE4PRGI0ECE0TQOmAMEliCUQAh4YBDE8QxQSAQQcEEIhEEFcWUMdF6aBZDEDLA

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:ff8181fdfbffffff
Perceptual Hash:eb7ab687c292822d
Difference Hash:080f332303635656
Wavelet Hash:c7818181f9bfa3a3
Color Hash:#40bfac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data