burst-statistics CVE 脆弱性と CVE 一覧(3)

製品(CPE): — CVE 件数: 3

burst-statistics 脆弱性概要

burst-statistics 関連製品全体の CVE とセキュリティ脆弱性情報を集約し、CVSS、EPSS、公開日、脆弱性情報データを掲載しています。

過去の問題は主に vendor risk sql injection and vendor risk cross-site scripting などに関し、一部は vendor impact session compromise を招き、vendor surface production workloads and vendor surface software deployment 関連の場面に影響します。

掲載データは公開脆弱性情報とセキュリティ公告に基づき、過去の暴露面と修補優先度の評価に利用できます。

脆弱性分布の推移(直近24か月)

表示中 13 / 3 CVE 件数
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CVE 概要 ソース CVSS 最大値 EPSS(%) 公開 更新
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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