Summary
This website contacted 12 IPs in 2 countries across 6 domains to perform 84 HTTP transactions. The main domain is 1800flowers.com and was registered NaN years ago.
Submitted URL: https://www.1800flowers.com/articles/everyday-moments/birthday-card-messages-ideas
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
110 Happy Birthday Wishes for Everyone | Petal Talk
Scan Type
public
Language
English
Category
other
(44%)Domain Information
You're looking at domain 'www.1800flowers.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion '1800flowers' spans 11 characters containing two vowels alongside five consonants, along with four digits. Segmentation suggests 2 words: 1800, flowers. The median word length lands at 5.5 characters. The linguistic tilt is English for '1800s'. Secondary signals appear in French and Portuguese. Overall, 'www.1800flowers.com' reads as English with character flair.
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 |
|---|---|---|---|
| 7 | 18.66.122.49 | United States | AS16509AMAZON-02 |
| 7 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 146.75.122.137 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 18.66.122.97 | United States | AS16509AMAZON-02 |
| 7 | 18.66.122.116 | United States | AS16509AMAZON-02 |
| 7 | 3.233.158.114 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 3.233.158.112 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 146.75.122.126 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 18.66.122.78 | United States | AS16509AMAZON-02 |
| 7 | 3.233.158.111 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 84 | 12 | - | - |
Detected Technologies3
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
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