Summary
This website contacted 37 IPs in 3 countries across 8 domains to perform 119 HTTP transactions. The main domain is in.pinterest.com and was registered NaN years ago.
Submitted URL: https://in.pinterest.com/bhuvanajkumar/happy-birthday/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Pinterest page with no security concerns.
Safety Factors
Details
Page Title
Discover 900+ Happy Birthday Wishes Messages and Happy Birthday Wishes Pics Ideas | happy birthday flowers wishes, birthday wishes greetings, birthday verses and more
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'in.pinterest.com' uses the commercial generic top-level domain (.com) with subdomain 'in'. The core label 'pinterest' covers 9 characters containing three vowels alongside six consonants. It segments into 2 words: p, interest. Expect 4.5 characters per word on average. 'p' is most common in Chinese (Zhuyin) usage. It also appears in Breton and English 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 |
|---|---|---|---|
| 72 | 23.213.164.234 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 33 | 146.75.120.84 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 142.250.186.35 | United States | AS15169GOOGLE |
| 4 | 142.250.185.163 | United States | AS15169GOOGLE |
| 3 | 104.75.88.209 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 23.53.40.66 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.53.40.11 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.250.186.163 | United States | AS15169GOOGLE |
| 3 | 66.102.1.84 | United States | AS15169GOOGLE |
| 3 | 2a02:26f0:3100::1735:2860 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 119 | 37 | - | - |
Detected Technologies10
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
Scan History
Scan history not available
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