Summary
This website contacted 3 IPs in 2 countries across 2 domains to perform 16 HTTP transactions. The main domain is kakado.me and was registered NaN years ago.
Submitted URL: https://kakado.me/celebrities/pejman-jamshidi
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
پژمان جمشیدی - Pejman Jamshidi
Scan Type
public
Language
FA
Category
entertainment media
(27%)Domain Information
The domain name 'kakado.me' uses the Montenegrin country-code top-level domain (.me) and has no subdomain. Its registrable label 'kakado' stretches across 6 characters split between 3 vowels and three consonants. Tokenizing the label suggests 3 words: k, aka, do. Median word length comes out to two characters. 'k' is most common in Albanian usage. It also appears in Polish and Czech contexts.
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 |
|---|---|---|---|
| 15 | 138.201.243.28 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 5 | 2a00:1450:4001:828::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 142.250.186.72 | United States | AS15169GOOGLE |
| 16 | 3 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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