Security Scan Report: www.mojnews.com

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Submitted: Oct 14, 2025, 12:46:01 PMCompleted: Oct 14, 2025, 12:49:18 PMpubliccompleted
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Summary

This website contacted 19 IPs in 3 countries across 7 domains to perform 31 HTTP transactions. The main domain is mojnews.com and was registered NaN years ago.

Submitted URL: https://www.mojnews.com/%D8%A8%D8%AE%D8%B4-%D8%A7%DB%8C%D9%86%D9%81%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C%DA%A9-183/659225-%D8%A7%DB%8C%D9%86%D9%81%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C%DA%A9-%D8%A8%DB%8C%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C-%D8%B2%D9%86%D8%AF%D9%87-%DB%8C%D8%A7%D8%AF-%D9%86%D8%A7%D8%B5%D8%B1-%D8%AA%D9%82%D9%88%D8%A7%DB%8C%DB%8C

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Standard contact/search forms only
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

اینفوگرافیک/بیوگرافی زنده یاد ناصر تقوایی

Scan Type

public

Language

🇮🇷

FA

(80% confidence)

Category

government public service

(61%)

Domain Information

The domain name 'www.mojnews.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 7 characters in 'mojnews' split between two vowels and 5 consonants. Breaking it apart gives two words: moj, news. Median word length comes out to 3.5 characters. The linguistic tilt is Bosnian for 'moj'. Usage also turns up in Croatian and Serbian contexts. Taken together, it feels Bosnian.

Screenshot

Security scan screenshot of https://www.mojnews.com/%D8%A8%D8%AE%D8%B4-%D8%A7%DB%8C%D9%86%D9%81%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C%DA%A9-183/659225-%D8%A7%DB%8C%D9%86%D9%81%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C%DA%A9-%D8%A8%DB%8C%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C-%D8%B2%D9%86%D8%AF%D9%87-%DB%8C%D8%A7%D8%AF-%D9%86%D8%A7%D8%B5%D8%B1-%D8%AA%D9%82%D9%88%D8%A7%DB%8C%DB%8C

Page Load Overview

2.84s
Total Load Time
31
HTTP Requests
7
Domains
374 KB
Total Size

Language Analysis

Primary Language

🇮🇷Persian
Code: fa
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:fa
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:fa
Text Length:4,553 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
61%
news media journalism
52%
finance banking
51%
entertainment media
50%
cryptocurrency blockchain
44%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1331.193.186.247Iran
AS48551Sindad Network Technology PJSC
1245.94.255.75Iran
AS48551Sindad Network Technology PJSC
931.193.186.248Iran
AS48551Sindad Network Technology PJSC
4142.250.184.195United States
AS15169GOOGLE
3188.114.96.3United States
AS13335CLOUDFLARENET
2185.161.121.52Iran
AS48551Sindad Network Technology PJSC
131.193.186.246Iran
AS48551Sindad Network Technology PJSC
1216.58.206.35United States
AS15169GOOGLE
145.94.255.74Iran
AS48551Sindad Network Technology PJSC
1188.114.97.3United States
AS13335CLOUDFLARENET
3119--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E143FA416F6983540B3979679F01B72AEA74D4FCA792264356D3B102FABD0B9F030CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EfborA4H9ug8ugtGl1GlTiDiBsgtzUv+Ir4MTIwo+0rUEvIwLxkBW/9hq2mEdDaN:qD3tUX2mEdu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:204107:I6gCUF5DQIoIBIkCEoACRgSh6WDuIFEHCeQBQHeVFThkQioVKXoRQjbASEoAyQgrDiAmEGEuukZxheH+hoCUEQkyDCQOAAUM

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:00fff1f1f1f3f1f0
Perceptual Hash:ec131112576e6d6e
Difference Hash:bc3b272727272326
Wavelet Hash:00dfe1e1e1f1f0f0
Color Hash:#e0a46c

Scan History

Scan history not available

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