Security Scan Report: un.mfa.gov.az

Bot Protection Detected

This website is protected by CAPTCHA or anti-bot measures that prevented automated scanning.

Submitted: Jun 27, 2026, 3:15:48 PMCompleted: Jun 27, 2026, 3:18:41 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is un.mfa.gov.az.

Submitted URL: https://un.mfa.gov.az/en/category/about-azerbaijan

The Cisco Umbrella rank of the primary domain is #891,500 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk; site shows no malicious activity or phishing indicators.

Safety Factors
Government subdomain (mfa.gov.az)
No forms or data collection
No external malicious resources
Domain age information unavailable

Details

Bot Protection Detected

Our scanner could not load this page — navigation was blocked before the page rendered (possible bot protection).

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'un.mfa.gov.az' uses the Azerbaijani country-code top-level domain (.gov.az) and includes subdomain 'un'. The core label 'mfa' covers 3 characters containing one vowel alongside 2 consonants. Word splitting yields 1 word: mfa. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://un.mfa.gov.az/en/category/about-azerbaijan

Page Load Overview

75.14s
Total Load Time
1
HTTP Requests
1
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:7 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
131.170.236.166Baku, Baku City, Azerbaijan
AS206977State Service Of Special Communication And Information Security Of The Republic Of Azerbaij
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F836BF5D6F96394558F83E5EB661865AE3F00FB26898194722C9FE09F11898CF87CC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gXfYIkPaAntuxf/N6cw15UxDTt80xhfK6DV/JHnOJwNtPDsTSHsx:+v2AZdxLDV/JH6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83838:wJ3ATdEIhYZJ8RYSoAbVkJmkYUZQShSECATCBVAwUKooNBQiWAVoKOhgBEHSmbhgCAgK8AkoKAC4kRuDEAhlAuKNtgFPoTAi

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:e7c7c3e7fffffffe
Perceptual Hash:f722558add88dd88
Difference Hash:080c1e0800000000
Wavelet Hash:3f2703270f0f0f0e
Color Hash:#4e783a

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data