Summary
API
Submitted URL: https://goftar.org/fa/people/leila-farahmand-demo
AI Security Verdict
Low Risk
Confidence: 62%
Self-branded Persian demo/news prototype that labels its content as fictional samples. No forms, no impersonation, no threat-intel or malware signals; only youth of the domain, which is not evidence of wrongdoing.
Safety Factors (5)
Details
Page Title
لیلا فرهمند (نمونه) | گفتار
Scan Type
public
Domain Name Analysis
The domain name 'goftar.org' uses the non-profit oriented generic top-level domain (.org). The second-level label 'goftar' is 6 characters long with 2 vowels and four consonants. Tokenizing the label suggests three words: g, of, tar. Median word length is 2 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 |
|---|---|---|---|
| 19 | 44.253.1.15Aws · CLOUD | Boardman, Oregon, United States | AS16509Amazon.com, Inc. |
| 19 | 1 | - | - |
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