Security Scan Report: anticorruption.au.int

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Submitted: Dec 26, 2025, 7:37:31 PMCompleted: Dec 26, 2025, 7:41:43 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 239 HTTP transactions. The main domain is anticorruption.au.int and was registered NaN years ago.

Submitted URL: https://anticorruption.au.int/en/member-states/niger

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate African Union site with no security concerns.

Safety Factors
Established domain age
Official .int subdomain of African Union
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting without suspicious redirects
Domain age information unavailable

Details

Page Title

Republic of the Niger | African Union Advisory Board Against Corruption

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(25%)

Domain Information

The domain 'anticorruption.au.int' uses the international treaty organization top-level domain (.int) with subdomain 'anticorruption'. The second-level label 'au' is 2 characters long containing 2 vowels alongside zero consonants. Segmentation suggests one word: au. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://anticorruption.au.int/en/member-states/niger

Page Load Overview

248.81s
Total Load Time
239
HTTP Requests
0
Domains
N/A
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:20,831 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service25% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
25%
forum
20%

Detected Features

OG: member_state

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23223.111.128.197Tampa, Florida, United States
AS29802HVC-AS
1146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1104.18.0.22United States
AS13335CLOUDFLARENET
03--

Detected Technologies3

Open-Graph-Protocolvmember_state
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D14A450C4F6503BC18770C17B654BAAAFA3C94BD34A5E8832FC92198FD6DE59D2702E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4B+tcbpUa+FaheJ0gqGmbp4aQUdbf4rE3b1X:wBX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201221:UEQZgAMwEEgADGIbTIPBANBxEYGEHIGJCh6ATMKgIYwEIlMiAwE7CEQA4koAUwK2JAAoQoP+gKDAEyKHa2AAAFIUuJgHAwGg

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data