Security Scan Report: www.unicef.org

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Submitted: Nov 1, 2025, 8:53:28 AMCompleted: Nov 1, 2025, 8:55:22 AMpubliccompleted
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Summary

This website contacted 128 IPs in 4 countries across 33 domains to perform 194 HTTP transactions. The main domain is unicef.org and was registered NaN years ago.

Submitted URL: https://www.unicef.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

UNICEF.org appears legitimate with no security concerns.

Safety Factors
Well-established domain with over 30 years of registration
Official brand domain (unicef.org) matches displayed branding
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

UNICEF, for every child

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.unicef.org' on the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Count 6 characters in 'unicef' with three vowels and 3 consonants. Splitting it apart reveals one word: unicef. 'unicef' is most common in English usage. Usage also turns up in French and Indonesian contexts. Overall, 'www.unicef.org' reads as English with single-word simplicity.

Screenshot

Security scan screenshot of https://www.unicef.org/

Page Load Overview

22.44s
Total Load Time
194
HTTP Requests
33
Domains
3.5 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:6,696 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6718.157.207.220Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1104.17.24.14United States
AS13335CLOUDFLARENET
13.120.137.193Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
191.228.74.159United Kingdom
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1104.16.80.73United States
AS13335CLOUDFLARENET
13.171.214.42United States
AS16509AMAZON-02
191.228.74.200United Kingdom
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
1142.250.184.226United States
AS15169GOOGLE
194128--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8E3D9619C85103F20BACAD05329DF1B6AAB4A3ADD530C49B3A8D3F56FCDC84554EA7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Azmptl10qtl10A/ifleyeV0Y5nge+SrcnYcf8gHXwtcekeOekWq7eatupV4:AnDJeyeK/R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151559:gAQE2iaErTAArGADBI2wECaQQACJAAg6LdkgllNiwBQIAAN4EkkCkAQaqVCJCIWOjFMwphPEEgkpCOQJCAIDEPjRDggWESBJ

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:00003c3c3c3c0000
Perceptual Hash:9b8470ef9b249794
Difference Hash:0db1786971691b19
Wavelet Hash:fdfe3e3c3cbc0000
Color Hash:#ae87c5

Scan History

Scan history not available

Unable to load historical scan data