Security Scan Report: www.xalqqazeti.az

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Submitted: Jun 15, 2026, 1:14:44 AMCompleted: Jun 15, 2026, 1:16:16 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 6 domains to perform 2 HTTP transactions. The main domain is xalqqazeti.az.

Submitted URL: https://www.xalqqazeti.az/en/dunya/221610-daniel-noboa-elected-president-of-ecuador

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

The page looks like a legitimate news article; lack of forms or phishing cues keeps risk moderate despite high JS obfuscation and unknown domain age.

Risk Factors
High JavaScript obfuscation (critical score) – could hide malicious code
Unranked domain with unknown registration age
Presence of multiple third‑party analytics/tracking domains
Safety Factors
Self‑branding matches domain – not impersonating another brand
No credential or payment collection forms
No external links to known malicious sites
No IDS/Suricata alerts or IoC matches
Content appears to be standard news article
Domain age information unavailable

Details

Page Title

Daniel Noboa elected president of Ecuador

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(28%)

Domain Information

The domain 'www.xalqqazeti.az' uses the Azerbaijani country-code top-level domain (.az); it also runs on subdomain 'www'. The core label 'xalqqazeti' covers 10 characters with four vowels and six consonants. Segmentation suggests 5 words: xal, qq, a, ze, ti. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.xalqqazeti.az/en/dunya/221610-daniel-noboa-elected-president-of-ecuador

Page Load Overview

4.27s
Total Load Time
90
HTTP Requests
14
Domains
18.4 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:9,974 chars
Detector Agreement:60%

Website Classification

Primary Category

adult content28% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
28%
government public service
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.251.13.95United States
AS15169Google LLC
18192.178.183.97United States
AS15169Google LLC
18188.114.96.3United States
AS13335Cloudflare, Inc.
183.160.150.46United States
AS16509Amazon.com, Inc.
18142.251.151.119United States
AS15169Google LLC
905--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1E35161A4F414374293D2C2A6746F2BAFD29207D65B2A1831EC0BDDAFD3D938D1325E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:kQCP8sRSpECTaKkDkKkDwC9FZsm3WlQhHPWlAI3bD:kQCP8s8+maKk4Kk0K3sWWlQhH03bD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:145451:ZV7peOwECYEBECNDhHgAAACgsHUfkQ4/MtUAy0QwTRM5AAYEiKoKQWAQBODA6VjwFIECmsRhGcq80vGIihAAAqBChgCXCAAA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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