#cwe-282

共收录 4 条相关安全情报。

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CVE-2026-50130

Pi-hole is a DNS sinkhole that protects devices from unwanted content without installing any client-side software. From 6.0 to 6.4.2, a user with code execution as the unprivileged pihole user can escalate to root by replacing /etc/pihole/logrotate. The replacement is laundered to root:root ownership by pihole-FTL-prestart.sh and then parsed as root by the daily pihole flush cron, executing firsta

💡 影响/原因: 原文内容(由于配额限制,未进行深度 LLM 分析)

🎯 建议动作: 建议根据原文自行评估

排序因子: Primary 数据源 (+3) | LLM 评分加成 (+0.4)

Pi-hole is a DNS sinkhole that protects devices from unwanted content without installing any client-side software. From 6.0 to 6.4.2, a user with code execution as the unprivileged pihole user can escalate to root by replacing /etc/pihole/logrotate. The replacement is laundered to root:root ownership by pihole-FTL-prestart.sh and then parsed as root by the daily pihole flush cron, executing firsta

💡 风险点: 原文内容(由于配额限制,未进行深度 LLM 分析)

🎯 建议动作: 建议根据原文自行评估

排序因子: 有可用补丁/修复方案 (+3) | Primary 数据源 (+3) | 包含 CVE (+2) | LLM 评分加成 (+0.4)

In OpenStack Cyborg before 16.0.1, the Accelerator Request (ARQ) API does not enforce project ownership at any layer. The project_id column in the database is never populated (NULL for every ARQ), database queries have no project filtering, and policy checks are self-referential (the authorize_wsgi decorator compares the caller's project_id with itself rather than the target resource). Any authent

💡 风险点: 原文内容(由于配额限制,未进行深度 LLM 分析)

🎯 建议动作: 建议根据原文自行评估

排序因子: 有可用补丁/修复方案 (+3) | Secondary 数据源 (+2) | 包含 CVE (+2) | LLM 评分加成 (+0.4)
CVE-2026-40214

In OpenStack Cyborg before 16.0.1, the Accelerator Request (ARQ) API does not enforce project ownership at any layer. The project_id column in the database is never populated (NULL for every ARQ), database queries have no project filtering, and policy checks are self-referential (the authorize_wsgi decorator compares the caller's project_id with itself rather than the target resource). Any authent

💡 影响/原因: 原文内容(由于配额限制,未进行深度 LLM 分析)

🎯 建议动作: 建议根据原文自行评估

排序因子: Primary 数据源 (+3) | LLM 评分加成 (+0.4)