Security Scan Report: calendar.app.google

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Submitted: Dec 4, 2025, 9:46:36 PMCompleted: Dec 4, 2025, 9:48:02 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is calendar.app.google and was registered NaN years ago.

Submitted URL: https://calendar.app.google/

The Cisco Umbrella rank of the primary domain is #108,290 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Official Google subdomain (calendar.app.google)
Page displays a standard Firebase Dynamic Link error message
Domain age information unavailable

Details

Page Title

Invalid Dynamic Link

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'calendar.app.google' on the .google top-level domain and includes subdomain 'calendar'. Count 3 characters in 'app' split between one vowel and 2 consonants. Tokenizing the label suggests 1 word: app. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://calendar.app.google/

Page Load Overview

0.31s
Total Load Time
3
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:250 chars
Detector Agreement:100%

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
1142.250.185.99United States
AS15169GOOGLE
1216.58.206.78United States
AS15169GOOGLE
02a00:1450:4001:811::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:80f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
34--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B612AFB2C68A6479D74C0048F4A0B162DF6BCF7381D30617BFA816C7DC8ADE0AD79654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:f1tnxkRYtsMqx8JugD7P5vZof2XqsK9BA2tyL:fxBKX2LD7RxoPAayL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9230:ENogACpgC7CD8QeBlHAwCOiFnJAyKywkjQAQAAnAwFamAGAAgj2SYBAGEFFInKBAHsARhKuFAnzwQRS0wQnwg+MHkiljYhCg

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:c7c7e7ffffffffff
Perceptual Hash:b3333331999999c9
Difference Hash:1c0c080000000000
Wavelet Hash:0303273f0f0f0f0f
Color Hash:#98e06c

Other Hashes

Crop Resistant:1c0c080000000000

Scan History

Scan history not available

Unable to load historical scan data