Security Scan Report: artmag.ir

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Submitted: Oct 14, 2025, 1:35:34 PMCompleted: Oct 14, 2025, 1:36:29 PMpubliccompleted
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Summary

This website contacted 31 IPs in 5 countries across 8 domains to perform 112 HTTP transactions. The main domain is artmag.ir.

Submitted URL: https://artmag.ir/nassertaghvai/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no suspicious activity detected.

Safety Factors
Standard comment and search forms only
Domain hosts legitimate cultural content
Domain age information unavailable

Details

Page Title

ناصر تقوایی - مجله هنر

Scan Type

public

Language

🇮🇷

FA

(80% confidence)

Category

entertainment media

(99%)

Domain Information

You're looking at domain 'artmag.ir' on the Iranian country-code top-level domain (.ir) and has no subdomain. Count 6 characters in 'artmag' split between 2 vowels and four consonants. Word splitting yields 2 words: art, mag. Expect 3 characters per word on average. 'art' most often appears in Afrikaans. You will also see it in Dutch and German contexts.

Screenshot

Security scan screenshot of https://artmag.ir/nassertaghvai/

Page Load Overview

29.98s
Total Load Time
112
HTTP Requests
8
Domains
3.0 MB
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-IR
Text Length:8,559 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media99% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
99%
social media network
84%
education learning
66%
adult content
65%
documentation technical
58%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2245.90.73.58Tehran, Tehran, Iran
AS64458Mizban Dade Pasargad LLC
3172.217.18.4United States
AS15169GOOGLE
3188.114.96.3United States
AS13335CLOUDFLARENET
3192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
3158.69.254.144Montreal, Quebec, Canada
AS16276OVH SAS
3104.20.11.41United States
AS13335CLOUDFLARENET
3142.250.184.227United States
AS15169GOOGLE
3142.250.186.35United States
AS15169GOOGLE
3149.56.240.129Montreal, Quebec, Canada
AS16276OVH SAS
3104.20.10.41United States
AS13335CLOUDFLARENET
11231--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1610419E0420C1537513693DAD078FB6CA3D25A45CB425A74B7FC134C8BEAF92AD7226E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tnpkDJgMHzi6cILcBJhUj98dpPC6NY7lVKMjnB:dulgMHzi6zLcBJs9EpqwY7LKMjB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188505:sIwQDmAsFaWKhBDAAK6gpzQABI0jmGIhCPMQMKIQQAugMI0CGgQJxKUBEBwbA6CEuaCQAlgSLeiNJBzACCrKHQkhgACcAQdo

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:1e1ffd999999bfbf
Perceptual Hash:9e80b51e4ae8eab5
Difference Hash:6064692169696f6b
Wavelet Hash:1e1ebd99998181bd
Color Hash:#e06cac

Scan History

Scan history not available

Unable to load historical scan data