Security Scan Report: cdn3.1800flowers.com

Submitted: Apr 11, 2026, 4:54:57 PMCompleted: Apr 11, 2026, 4:56:41 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is cdn3.1800flowers.com and was registered NaN years ago.

Submitted URL: https://cdn3.1800flowers.com

The Cisco Umbrella rank of the primary domain is #70,390 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'cdn3.1800flowers.com' uses the commercial generic top-level domain (.com) and includes subdomain 'cdn3'. Its registrable label '1800flowers' stretches across 11 characters split between 2 vowels and 5 consonants; it also includes four digits. Splitting it apart reveals 2 words: 1800, flowers. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cdn3.1800flowers.com

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:7 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.122.126Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173B0928A90F22001A860B6800EC1F9400889E293B5438B0A39CA76A89F0C2AAC847698

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxOvYl/UvSBXAEtvpL//XFBK3z:haxWY2ahAEdpi3z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7bb887a2eea256afc12725dc770f23c9

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

Average Hash:0000000000000000
Perceptual Hash:81010303073fffff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#86842d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data