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。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.
10-question deep dive: root cause, exploitation, mitigation, urgency. Read summary free, full version requires login.
| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| Apache Software Foundation | Apache Spark | Apache Spark 2.4.5 and earlier | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|---|---|---|
| 1 | None | https://github.com/XiaoShaYu617/CVE-2020-9480 | POC Details |
| 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 Details |
No public POC found.
Login to generate AI POCNo comments yet