Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is jadoyebavar.ir.
Submitted URL: https://jadoyebavar.ir/%D8%A7%DA%A9%D8%A8%D8%B1-%D8%B9%D8%A8%D8%AF%DB%8C/
AI Security Verdict
Low Risk
Confidence: 85%
The site appears to be a legitimate informational blog with no phishing, malware, or credential‑harvesting indicators.
Safety Factors
Details
Page Title
زندگینامه اکبر عبدی مرد هزار چهره سینمای ایران با جزئیات کامل - جادوی باور
Scan Type
public
Language
FA
Category
news/blog
(50%)Domain Information
You're looking at domain 'jadoyebavar.ir' on the Iranian country-code top-level domain (.ir) and has no subdomain. Count 11 characters in 'jadoyebavar' split between 5 vowels and 6 consonants. Segmentation suggests 6 words: j, a, do, ye, b, avar. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 18 | 142.251.157.119Google · CDN | United States | AS15169Google LLC |
| 16 | 195.28.10.9 | Iran | AS212216Netafraz Iranian Ltd. |
| 16 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 50 | 3 | - | - |
Detected Technologies13
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data