Browse all 1725 CVE security advisories affecting Apache Software Foundation. AI-powered Chinese analysis, POCs, and references for each vulnerability.
The Apache Software Foundation develops and maintains open-source software, primarily known for the widely deployed Apache HTTP Server and foundational Java frameworks. Its extensive portfolio exposes a significant attack surface, evidenced by the 1717 recorded CVEs. Historically, vulnerabilities frequently involve remote code execution, cross-site scripting, and privilege escalation, often stemming from complex configuration errors or input validation failures in legacy components. While the foundation enforces rigorous security review processes, the sheer volume of projects increases the likelihood of undiscovered flaws. Notable incidents include critical flaws in Log4j, which allowed remote code execution via crafted log messages, highlighting risks in dependency management. The organization relies on community-driven patching, requiring administrators to promptly apply updates to mitigate exploitation. This model ensures transparency but demands active vigilance from users to maintain system integrity against evolving threat vectors.
| CVE ID | Title | CVSS | Severity | Published |
|---|---|---|---|---|
| CVE-2017-9801 | Apache Commons Email 输入验证错误漏洞 — Apache Commons Email | 7.5 | - | 2017-08-07 |
| CVE-2016-0736 | Apache HTTP Server 安全漏洞 — Apache HTTP Server | 5.9 | - | 2017-07-27 |
| CVE-2016-2161 | Apache HTTP Server 安全漏洞 — Apache HTTP ServerCWE-823 | 7.5 | - | 2017-07-27 |
| CVE-2016-8743 | Apache HTTP Server 安全漏洞 — Apache HTTP Server | 7.5 | - | 2017-07-27 |
| CVE-2017-7659 | Apache HTTP Server 代码问题漏洞 — Apache HTTP Server | 7.5 | - | 2017-07-26 |
| CVE-2016-5394 | Apache Sling XSS Protection API模块跨站脚本漏洞 — Apache Sling | 6.1 | - | 2017-07-19 |
| CVE-2016-6798 | Apache Sling XSS Protection API模块安全漏洞 — Apache Sling | 10.0 | - | 2017-07-19 |
| CVE-2017-7663 | Apache OpenMeetings 跨站脚本漏洞 — Apache OpenMeetings | 6.1 | - | 2017-07-14 |
| CVE-2017-7664 | Apache OpenMeetings 安全漏洞 — Apache OpenMeetings | 9.4 | - | 2017-07-14 |
| CVE-2017-7666 | Apache OpenMeetings 跨站请求伪造漏洞 — Apache OpenMeetings | 8.8 | - | 2017-07-14 |
| CVE-2017-7673 | Apache OpenMeetings 安全漏洞 — Apache OpenMeetings | 9.8 | - | 2017-07-14 |
| CVE-2017-7680 | Apache OpenMeetings 安全漏洞 — Apache OpenMeetings | 7.5 | - | 2017-07-14 |
| CVE-2017-7681 | Apache OpenMeetings SQL注入漏洞 — Apache OpenMeetings | 8.1 | - | 2017-07-14 |
| CVE-2017-7682 | Apache OpenMeetings 安全漏洞 — Apache OpenMeetings | 8.2 | - | 2017-07-14 |
| CVE-2017-7683 | Apache OpenMeetings 信息泄露漏洞 — Apache OpenMeetings | 7.5 | - | 2017-07-14 |
| CVE-2017-7684 | Apache OpenMeetings 安全漏洞 — Apache OpenMeetings | 7.5 | - | 2017-07-14 |
| CVE-2017-7685 | Apache OpenMeetings 访问控制错误漏洞 — Apache OpenMeetings | 7.5 | - | 2017-07-14 |
| CVE-2017-7688 | Apache OpenMeetings 安全漏洞 — Apache OpenMeetings | 7.5 | - | 2017-07-14 |
| CVE-2017-9788 | Apache httpd 安全漏洞 — Apache HTTP Server | 9.1 | - | 2017-07-13 |
| CVE-2017-9789 | Apache httpd 安全漏洞 — Apache HTTP Server | 7.5 | - | 2017-07-13 |
| CVE-2017-7672 | Apache Struts 2 安全漏洞 — Apache Struts | 5.9 | - | 2017-07-13 |
| CVE-2017-9787 | Apache Struts 2 安全漏洞 — Apache Struts | 7.5 | - | 2017-07-13 |
| CVE-2017-5640 | Apache Impala 安全漏洞 — Apache Impala | 9.8 | - | 2017-07-10 |
| CVE-2017-5652 | Apache Impala 安全漏洞 — Apache Impala | 7.5 | - | 2017-07-10 |
| CVE-2017-7670 | Apache Traffic Control 安全漏洞 — Apache Traffic Control | 7.5 | - | 2017-07-10 |
| CVE-2017-9791 | Apache Struts 输入验证错误漏洞 — Apache Struts | 9.8 | - | 2017-07-10 |
| CVE-2017-7660 | Apache Solr 安全漏洞 — Apache Solr | - | - | 2017-07-07 |
| CVE-2017-7686 | Apache Ignite 信息泄露漏洞 — Apache Ignite | 7.5 | - | 2017-06-28 |
| CVE-2017-3167 | Apache httpd 安全漏洞 — Apache HTTP ServerCWE-287 | 9.8 | - | 2017-06-20 |
| CVE-2017-3169 | Apache httpd 安全漏洞 — Apache HTTP ServerCWE-476 | 9.1 | - | 2017-06-20 |
This page lists every published CVE security advisory associated with Apache Software Foundation. Each entry links to a detailed page with CVSS scoring, CWE classification, affected products and references. AI-generated Chinese analysis is provided for fast triage.