Security Scan Report: data.worldbank.org

Submitted: Oct 11, 2025, 2:44:14 AMCompleted: Oct 11, 2025, 2:45:12 AMpubliccompleted
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Summary

This website contacted 65 IPs in 4 countries across 25 domains to perform 114 HTTP transactions. The main domain is data.worldbank.org and was registered NaN years ago.

Submitted URL: https://data.worldbank.org/country/guatemala

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate World Bank data site with no security concerns.

Safety Factors
Established domain (data.worldbank.org) with long registration history
Official World Bank branding and consistent site structure
Absence of suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Guatemala | Data

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(38%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'data.worldbank.org' is registered, featuring subdomain 'data'. The core label 'worldbank' covers 9 characters with 2 vowels and 7 consonants. It segments into 2 words: world, bank. Expect 4.5 characters per word on average. 'world' most often appears in Chinese (Pinyin). You may catch it in English and Malay as well.

Screenshot

Security scan screenshot of https://data.worldbank.org/country/guatemala

Page Load Overview

6.33s
Total Load Time
114
HTTP Requests
25
Domains
720 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:10,040 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content38% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5066.235.152.212United States
AS16509AMAZON-02
1142.250.186.163United States
AS15169GOOGLE
199.81.212.123Dublin, Leinster, Ireland
AS16509AMAZON-02
152.48.49.253Dublin, Leinster, Ireland
AS16509AMAZON-02
1104.17.208.240United States
AS13335CLOUDFLARENET
152.212.110.64Dublin, Leinster, Ireland
AS16509AMAZON-02
1184.30.17.91Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1104.17.209.240United States
AS13335CLOUDFLARENET
12.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
134.247.4.177Dublin, Leinster, Ireland
AS16509AMAZON-02
11465--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B174756065443977D80302CFF1E77BD5A1AB708EEBD68948A5A10F6B2322EF7BC54253

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:uFdqFGwtLCBnLyB+kC6Nk9ik9+nkfHw+aTJknPCUlJlXe7f1+yGZhNh3nbOShC:uFTe5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:347190:ACxDjQ4QAlnoARA0MgyOQKFIIIIYEhYlUGoCJUzASRCRlggfgPUA4LBEAQIAZbAIOBSpkRcLqotIhjMNsASyyiMjTGQsCIAG

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:9fffffdfffffff00
Perceptual Hash:bebc2a9d38b422c5
Difference Hash:2e32443c3a1a1a39
Wavelet Hash:9780bf8f8f8f0b00
Color Hash:#1f2593

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data