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Security Scan Report: www.khaama.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/fd7844ee-d9da-48e5-8c1c-3cd4fd9b3f53Domain and IP registration (RDAP)/api/v1/rdap/fd7844ee-d9da-48e5-8c1c-3cd4fd9b3f53How often this domain was scanned/api/v1/domain/stats/khaama.comScan history for this domain/api/v1/domain/history/khaama.com?limit=15
This website contacted 31 IPs in 2 countries across 17 domains to perform 160 HTTP transactions. The main domain is khaama.com and was registered 16 years ago.

Submitted URL: https://www.khaama.com/russian-ambassador-alexander-darchiev-dies/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Established Afghan news site Khaama Press publishing a legitimate article; no phishing, malware, impersonation, or credential-harvesting evidence found.

Safety Factors (5)
Established 16-year-old news domain
Self-branding matches the domain; no impersonation of another entity
Article/news content with legitimate editorial context
No Indicators of Compromise, hunting-rule matches, or safe-browsing/IDS hits
Login form is same-origin and not a credential-harvesting form
Domain age information unavailable

Details

Page Title

Russian Ambassador to US Alexander Darchiev Dies at 66

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.khaama.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'khaama' spans 6 characters holding three vowels versus 3 consonants. Segmentation suggests 2 words: kha, ama. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

as The DS’ AFGHANISTAN WORLD NEWS v KHAAMA PRESS News Agency BUSINESS & FINANCE in MLrom the Founder gg About Us Advertise Privacy Policy Mg Terms of Use] contact Us Donate} (S3A1Z STORIES: SPO...

Page Load Overview

3.21s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:7,044 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(99%)🇫🇷fr(1%)

Website Classification

Primary Category

social media network64% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
64%
news/blog
50%
social_media
35%
forum
35%
government public service
28%

Detected Features

Login Form
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2934.160.81.203Google · CDNKansas City, Missouri, United States
AS396982Google LLC
10142.251.20.154Google · CDNUnited States
AS15169Google LLC
835.214.168.80Google · CDNGroningen, Groningen, Netherlands
AS15169Google LLC
634.111.60.239Google · CDNKansas City, Missouri, United States
AS396982Google LLC
535.244.153.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5142.251.20.155Google · CDNUnited States
AS15169Google LLC
5142.251.110.97Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
5216.239.32.36Google · CDNUnited States
AS15169Google LLC
5142.251.14.100Google · CDNUnited States
AS15169Google LLC
16031--

Detected Technologies16

PasswordField
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
WordPress
95%
PHP
50%
MySQL
50%
Google Analyticsvga4
50%
Nginx
40%
HSTS
40%
Yoast SEOv28.8
30%
Site Kitv1.191.0
20%
Google AdSense
20%
Funding Choices
20%
HubSpot CMS
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CF4A526B4F21A36D29785B06066B77C3B3D9549EBC00DF4F84EAB6E4785ED3035229C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:2I4LhQVsRFq7NMY0Zbt7NKPT9kX2YDephNHYF0BzoYn0jzdYK02zNev0b1YQGamh:i2dYb1E+6ihmYY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:727662:lJloGSq8iAAhYkCFYGiNIAzASMA0yejEQAhUgVJIgPAgIBICkgWAAweVDjkZEOIoLAgEghzcgSkz4aLESBEpQgSIakDSEkER

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:b1fff9c1c3c3dbdf
Perceptual Hash:e84b9e35614b463d
Difference Hash:6139231317173331
Wavelet Hash:00ffb1c1c1c1cbdd
Color Hash:06400000041

Other Hashes

Crop Resistant:6139231317173331,000104d4f0d00520,0f678f454a7b2749,d3f0f0d8587858f0,d4b4369176b3b6b4

Scan History

Scan history not available

Unable to load historical scan data