burst-statistics CVE Vulnerabilities & CVE List (3)

Products (CPE): — CVEs: 3

burst-statistics vulnerability overview

Aggregates CVE and security vulnerability intelligence across all burst-statistics-related products, including CVSS, EPSS, publication dates, and vulnerability intelligence data.

Historical issues mainly involve vendor risk sql injection and vendor risk cross-site scripting and related security problems, affecting vendor surface production workloads and vendor surface software deployment scenarios.

Vulnerability distribution trend (last 24 months)

Showing 13 of 3 CVEs
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CVE Summary Source Max CVSS EPSS % Published Updated
CVE-2024-1894 The Burst Statistics – Privacy-Friendly Analytics for WordPress plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'burst_total_pageviews_count' custom meta field in all versions up to, and including, 1.5.6.1 due to insufficient input sanitization and output escaping on user supplied attributes. This makes it possible for authenticated attackers with contributor-level and above permissions to inject arbitrary web scripts in pages that will execute whenever a user accesses [email protected] 6.4 0.17% 2024-03-13 2026-04-08
CVE-2024-0405 The Burst Statistics – Privacy-Friendly Analytics for WordPress plugin, version 1.5.3, is vulnerable to Post-Authenticated SQL Injection via multiple JSON parameters in the /wp-json/burst/v1/data/compare endpoint. Affected parameters include 'browser', 'device', 'page_id', 'page_url', 'platform', and 'referrer'. This vulnerability arises due to insufficient escaping of user-supplied parameters and the lack of adequate preparation in SQL queries. As a result, authenticated attackers with editor a [email protected] 7.2 0.17% 2024-01-17 2026-04-08
CVE-2023-5761 The Burst Statistics – Privacy-Friendly Analytics for WordPress plugin for WordPress is vulnerable to SQL Injection via the 'url' parameter in versions 1.4.0 to 1.4.6.1 (free) and versions 1.4.0 to 1.5.0 (pro) due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information f [email protected] 9.8 0.51% 2023-12-07 2024-11-21
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