Apache Spark是美国阿帕奇(Apache)基金会的一款支持非循环数据流和内存计算的大规模数据处理引擎。 Apache Spark 2.4.5及之前版本中存在访问控制错误漏洞。攻击者可利用该漏洞在主机上执行shell命令。
尽管我们使用了先进的大模型技术,但其输出仍可能包含不准确或过时的信息。神龙努力确保数据的准确性,但请您根据实际情况进行核实和判断。
| 厂商 | 产品 | 影响版本 | CPE | 订阅 |
|---|---|---|---|---|
| Apache Software Foundation | Apache Spark | Apache Spark 2.4.5 and earlier | - |
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| # | POC 描述 | 源链接 | 神龙链接 |
|---|---|---|---|
| 1 | None | https://github.com/XiaoShaYu617/CVE-2020-9480 | POC详情 |
| 2 | In Apache Spark 2.4.5 and earlier, a standalone resource manager's master may be configured to require authentication (spark.authenticate) via a shared secret. When enabled, however, a specially-crafted RPC to the master can succeed in starting an application's resources on the Spark cluster, even without the shared key. This can be leveraged to execute shell commands on the host machine. This does not affect Spark clusters using other resource managers (YARN, Mesos, etc). | https://github.com/projectdiscovery/nuclei-templates/blob/main/http/cves/2020/CVE-2020-9480.yaml | POC详情 |
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