Vulmon
Recent Vulnerabilities
Research Posts
Trends
Blog
About
Contact
Vulmon Alerts
By Relevance
By Risk Score
By Publish Date
apache spark vulnerabilities and exploits
(subscribe to this query)
7.2
CVSSv2
CVE-2017-12612
In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user a...
Apache Spark 2.0.2
Apache Spark 2.1.1
Apache Spark 1.6.1
Apache Spark 1.6.2
Apache Spark 1.6.3
Apache Spark 2.0.0
Apache Spark 1.6.0
Apache Spark 2.0.1
Apache Spark 2.1.0
1.9
CVSSv2
CVE-2018-1334
In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application.
Apache Spark
Apache Spark 2.3.0
NA
CVE-2022-31777
A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and previous versions, and 3.3.0, allows remote malicious users to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into the logs which would be returned in logs ren...
Apache Spark 3.3.0
Apache Spark
4.9
CVSSv2
CVE-2018-8024
In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute...
Apache Spark
Apache Spark 2.3.0
Mozilla Firefox -
NA
CVE-2023-40272
Apache Airflow Spark Provider, versions prior to 4.1.3, is affected by a vulnerability that allows an malicious user to pass in malicious parameters when establishing a connection giving an opportunity to read files on the Airflow server. It is recommended to upgrade to a version...
Apache Apache-airflow-providers-apache-spark
NA
CVE-2023-28710
Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Spark Provider.This issue affects Apache Airflow Spark Provider: prior to 4.0.1.
Apache Apache-airflow-providers-apache-spark
2.1
CVSSv2
CVE-2018-11760
When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1.
Apache Spark
NA
CVE-2022-33891
The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can...
Apache Spark
18 Github repositories
4.3
CVSSv2
CVE-2017-7678
In Apache Spark prior to 2.2.0, it is possible for an malicious user to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data,...
Apache Spark
4.3
CVSSv2
CVE-2019-10099
Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in P...
Apache Spark
CVSSv2
CVSSv2
CVSSv3
VMScore
Recommendations:
CVE-2020-4463
CVE-2024-3400
deserialization
CVE-2024-21788
CVE-2023-42433
CVE-2024-21841
CVE-2024-22095
local file inclusion
memory leak
Vulnerability Notification Service
You don’t have to wait for vulnerability scanning results
Get Started
1
2
3
NEXT »