Security Scan Report: sabakhabar.ir

Submitted: Oct 14, 2025, 2:02:16 PMCompleted: Oct 14, 2025, 2:03:17 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 102 HTTP transactions. The main domain is sabakhabar.ir.

Submitted URL: https://sabakhabar.ir/tag/%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: 92%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Standard informational website with only search and poll forms
No credential or payment collection
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

ناصر تقوایی | مجموعه رسانه ای صبا

Scan Type

public

Language

🇮🇷

FA

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the Iranian country-code top-level domain (.ir), 'sabakhabar.ir' is registered without a subdomain. Its registrable label 'sabakhabar' stretches across 10 characters split between 4 vowels and six consonants. Breaking it apart gives 2 words: saba, khabar. Expect 5 characters per word on average. 'saba' most strongly signals Malay. Secondary signals appear in Indonesian and Romanian.

Screenshot

Security scan screenshot of https://sabakhabar.ir/tag/%D9%86%D8%A7%D8%B5%D8%B1-%D8%AA%D9%82%D9%88%D8%A7%DB%8C%DB%8C/

Page Load Overview

26.85s
Total Load Time
102
HTTP Requests
2
Domains
1.0 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:7,986 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
25%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51168.119.15.167Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
5145.147.77.128Iran
AS51889Gostaresh Pardazesh Dana Negar Co.(PJSC)
1022--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EE371A507ACA1770242A65F94847D2CD7978A0FDADAFB10B3ED031C8797E1389762CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UxCV1XhQ9yrogQxedjO3+KB3pZD0f5YORf3sL3nR1u8iy69m/:OxVn3+spZD0i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146466:EPAZ5cEASLEFgBEGWQMIpJAIESEsIaI0gMWpAZDQlIYzy08oQASICZTgFEQVkKAKBqHbQDg1lSDgEsIBESDiGgADLKIGAEgh

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:00dbf9ff9b99fbff
Perceptual Hash:f947473c16436b61
Difference Hash:d433d3333333b3b3
Wavelet Hash:0099f9999999d9d9
Color Hash:#e06cac

Scan History

Scan history not available

Unable to load historical scan data