CrowdSecLive Exploit Tracker
Limited ExploitationCVE-2023-6360Public Exploit

My Calendar - SQLi (CVE-2023-6360)

PublishedNov 30, 2023
First SeenDec 19, 2025
Last Seen
Reported
CVSS8.6
Joe Dolson
Joe DolsonMy Calendar Wordpress Plugin
cmswordpress

Description

The 'My Calendar' WordPress Plugin, version < 3.4.22 is affected by an unauthenticated SQL injection vulnerability in the 'from' and 'to' parameters in the '/my-calendar/v1/events' rest route.

psychologyCrowdSec Analysis

CVE-2023-6360 is an unauthenticated SQL injection vulnerability in the 'My Calendar' WordPress Plugin prior to version 3.4.22, affecting the 'from' and 'to' parameters in the '/my-calendar/v1/events' REST route. This flaw could allow remote attackers to execute arbitrary SQL commands against the database, potentially leading to data theft, unauthorized data modification, or full compromise of the affected WordPress site.

CrowdSec has been tracking this vulnerability and its exploits since 14th of May 2024.

CrowdSec has not observed any significant exploitation activity targeting CVE-2023-6360 across its network. As a result, no community-driven trend analysis is available for this vulnerability at this time.

Attackers exploit the /my-calendar/v1/events endpoint by injecting SQL payloads into the from or to query parameters, allowing them to manipulate database queries and extract sensitive information from vulnerable WordPress installations.

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EventDate
CVE Published2023-11-30
Rule Released2024-05-14
CrowdSec First Seen2025-12-19

Related Weaknesses

CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

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External References