Security Scan Report: unicef.de

Redirected to: https://www.unicef.de/

Submitted: Mar 24, 2026, 5:44:07 PMCompleted: Mar 24, 2026, 5:45:37 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 116 HTTP transactions. The main domain is unicef.de.

Submitted URL: https://unicef.de

Effective URL: https://www.unicef.de/Redirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site appears legitimate but unknown domain age and high JS obfuscation suggest caution.

Risk Factors
Unranked domain with a major brand name (UNICEF)
Unknown domain age – cannot verify establishment
High JavaScript obfuscation score (potentially suspicious code)
Safety Factors
No malicious Indicators of Compromise detected
No password or payment fields present
Legitimate meta description and Open Graph tags for UNICEF
External resources are reputable (usercentrics, Google Tag Manager)
HTTPS connection (secure transport)
Domain age information unavailable

Details

Page Title

Mit Ihrer Spende Kindern weltweit helfen. UNICEF - für jedes Kind

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

adult content

(85%)

Domain Information

The domain 'unicef.de' uses the German country-code top-level domain (.de) and has no subdomain. The core label 'unicef' covers 6 characters split between three vowels and 3 consonants. Segmentation suggests 1 word: unicef. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unicef.de

Page Load Overview

4.78s
Total Load Time
122
HTTP Requests
11
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:9,964 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content85% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
85%
corporate
35%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2013.107.246.44United States
AS8075Microsoft Corporation
17142.251.127.97United States
AS15169Google LLC
1734.102.170.124Kansas City, Missouri, United States
AS396982Google LLC
1735.190.14.188United States
AS396982Google LLC
1735.201.111.240Kansas City, Missouri, United States
AS396982Google LLC
1720.234.190.90Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1734.149.254.14Kansas City, Missouri, United States
AS396982Google LLC
1227--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A584D96150626D3687572BC9A4F2BB0EB2D3613ED18D6C84D5F8CA2EC7FBC4A7109316

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gCZl8DfRkK8ZgPrCpMOJMiwVJM38VmMwTA/sXi63ynq7Mp2V+MSg4HXZTB4i7LvU:Sc0BIABiGX+jFaUCsxhRF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:375765:axihCwSgKlAqGQBA1hgl6sAuIyAAQEQEBlIEmEvEySBIQJwCMAxoETAJgRAnyIEUUg4yaScIEPA5AgYIJJUoRDoAgIQ5CtWI

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:81e787878181c7ff
Perceptual Hash:be2fc16b0cb44e64
Difference Hash:1b0f2f2f372b9e96
Wavelet Hash:81ef87838181c3ff
Color Hash:#3a7778

Scan History

Scan history not available

Unable to load historical scan data