Security Scan Report: www.101planners.com

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Submitted: Completed: publiccompleted
This website contacted 103 IPs in 6 countries across 38 domains to perform 616 HTTP transactions. The main domain is 101planners.com and was registered 11 years ago.

Submitted URL: https://www.101planners.com/november-calendar-2/

The Cisco Umbrella rank of the primary domain is #344,775 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Long-established printable calendar/planner site with its own matching brand, no credential or payment forms, and no threat-intelligence, hunting rule or network evidence of malicious activity.

Safety Factors (5)
Established 11-year-old domain with consistent branding
No credential or payment collection — only a moderated blog comment form
No Indicators of Compromise, hunting rule, or phishing/malware network alerts
Third-party scripts are mainstream ad/analytics/video services (AdThrive, JW Player, Google Funding Choices)
Content matches domain purpose and site name
Domain age information unavailable

Details

Page Title

November 2026 Calendar: Free Printable with Holidays

Scan Type

public

Domain Name Analysis

Domain 'www.101planners.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label '101planners' stretches across 11 characters containing two vowels alongside 6 consonants; bonus characters include three digits. Segmentation suggests two words: 101, planners. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.101planners.com/november-calendar-2/

Page Load Overview

3.54s
Total Load Time
3.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:18,363 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
88%
education learning
87%
healthcare medical
67%
news media journalism
66%
news/blog
50%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
106188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.14.97Google · CDNUnited States
AS15169Google LLC
5192.178.183.155Google · CDNUnited States
AS15169Google LLC
552.222.136.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5172.66.162.24Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5192.178.183.95Google · CDNUnited States
AS15169Google LLC
5104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
585.9.205.255Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
579.127.216.204Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
5104.18.2.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
616103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1054BB3D969103B462BA1B5A915B348F2625007CB488BE8F7F8E39C97D8DD83637345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:fbrzeA5wUGhTrGhvawnAk5bvf/Y4h8jZeQmqo:fbrz2rGhv6kRvnY6TQq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:857733:gXiyRMKNQABACYCBAIQAEH+ECYIRQGKCR7XAEUGAl4KNdFJonUAhQUAIMbKJGFdFEGQhCUwwIBLweJCAEoACgBIAAwAAAqK+

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:00007c7e7e360000
Perceptual Hash:86133926879bc737
Difference Hash:c21bc8e8e4c41b04
Wavelet Hash:00077f7f7f7f0000
Color Hash:#d279a0

Other Hashes

Crop Resistant:c21bc8e8e4c41b04

Scan History

Scan history not available

Unable to load historical scan data