Spark vulnerabilitiesAnd the versions its exploited flaws hit.
Spark is made by Apache. We track 20 published vulnerabilities in it, across 89 versions. 1 of them is on the list of flaws known to be exploited, the newest added on 7 March 2023. If you run Spark, check your version against the exploited flaws below and patch those first.
The most recent Spark flaw added to the known-exploited list is CVE-2022-33891, on 7 March 2023. We keep watching the known-exploited list.
Which versions of Spark do the exploited flaws hit?
Each exploited flaw lists the versions it affects, as published by the vendor. Find your version, then patch.
- CVE-2022-33891Exploited list, 7 Mar 2023
Apache Spark Command Injection Vulnerability
up to 3.0.33.1.1 to 3.1.23.2.0 to 3.2.1
Which Spark vulnerabilities are being exploited?
1 flaw is on the government list of vulnerabilities known to be exploited. These are the ones criminals are using now, so they go first, whatever their severity score says.
- 8.8Apache Spark Command Injection Vulnerability
Apache Spark contains a command injection vulnerability via Spark User Interface (UI) when Access Control Lists (ACLs) are enabled.
Which Spark flaws are most likely to be used?
Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.
- 93%
The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable.
- 78%CVE-2020-27223Medium
In Eclipse Jetty 9.4.6.v20170531 to 9.4.36.v20210114 (inclusive), 10.0.0, and 11.0.0 when Jetty handles a request containing multiple Accept headers with a large number of “quality” (i.e.
- 76%CVE-2023-32007High
** UNSUPPORTED WHEN ASSIGNED ** The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable.
- 66%CVE-2018-11770Medium
From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit.
- 29%CVE-2020-9480Critical
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.
- 17%CVE-2019-10172High
A flaw was found in org.codehaus.jackson:jackson-mapper-asl:1.9.x libraries.
- 14%CVE-2019-20445Critical
HttpObjectDecoder.java in Netty before 4.1.44 allows a Content-Length header to be accompanied by a second Content-Length header, or by a Transfer-Encoding header.
- 8.8%CVE-2018-17190Critical
In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts.
- 8.3%CVE-2020-27218Medium
In Eclipse Jetty version 9.4.0.RC0 to 9.4.34.v20201102, 10.0.0.alpha0 to 10.0.0.beta2, and 11.0.0.alpha0 to 11.0.0.beta2, if GZIP request body inflation is enabled and requests from different clients are multiplexed...
- 5.7%CVE-2018-11804High
Spark's Apache Maven-based build includes a convenience script, 'build/mvn', that downloads and runs a zinc server to speed up compilation.
Running Spark? We'll keep checking.
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1 flaw being exploited affects software Acme tracks
Apache Spark contains a command injection vulnerability via Spark User Interface (UI) when Access Control Lists (ACLs) are enabled.
- Matched to
- Spark on Acme's software list
- What to do
- Patch first, then check for signs of use
Sent to the alert recipients Acme chose. Also in the app and to Acme's webhook.
We track 20 published vulnerabilities listed under the name Spark, across 89 versions. The most recent Spark flaw added to the known-exploited list is CVE-2022-33891, on 7 March 2023.
1 is on the list of flaws known to be exploited. The most recently added is CVE-2022-33891.
Each flaw names its own versions, usually as ranges. The newest, CVE-2022-33891, affects up to 3.0.3, 3.1.1 to 3.1.2, 3.2.0 to 3.2.1. The versions for every exploited flaw are listed on this page.
Create a Precursor Intelligence account and track Spark. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.