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Protection: None✕Product core_2.11✕
Overview 13 matches · 0 protected · 2 exploited · 1 CISA KEV · 3 public PoC · 2 EPSS ≥ 0.5
13matches 0protected0.0% 2exploited15.4% 1CISA KEV7.7% 3public PoC23.1% 2EPSS ≥ 0.515.4%
Protected by Waratek 0 0.0% Rule in development 0 0.0% Mitigation candidate 3 23.1% No exploit published 10 76.9%
Critical 0 0.0% High 9 69.2% Medium 4 30.8% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 0 0.0% partly blocked 0 0.0% not blocked 13 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 2 15.4% Working exploit published 1 7.7% Proof of concept only 1 7.7% Forecast only 0 0.0% No public exploit 9 69.2%
split by peak 4 / year
No exploit published: 10Mitigation candidate: 3 Medium: 4High: 9 not blocked: 13 No public exploit: 9Proof of concept only: 1Working exploit published: 1Exploited: 2
20172 No exploit published2 High1 Medium1 not blocked2 No public exploit2 20184 Mitigation candidate1 No exploit published3 High2 Medium2 not blocked4 Exploited1 No public exploit3 20191 No exploit published1 High1 not blocked1 No public exploit1 20201 No exploit published1 High1 not blocked1 No public exploit1 20212 Mitigation candidate1 No exploit published1 High2 not blocked2 Working exploit published1 No public exploit1 20221 No exploit published1 Medium1 not blocked1 No public exploit1 20232 Mitigation candidate1 No exploit published1 High2 not blocked2 Exploited1 Proof of concept only1
2017201820192020202120222023
13 matches Sign in to download these CVEs as CSV or JSON, or to follow them in a feed.
CVE Severity Published▾ Status Exploitation Description
CVE-2023-44487 High 2023-10-10 Mitigation candidate Exploited The HTTP/2 protocol allows a denial of service (server resource consumption) because request cancellation can reset many streams quickly, as exploited in the wild in August through October 2023.
CVE-2023-22465 High 2023-01-04 No exploit published Proof of concept only Http4s is a Scala interface for HTTP services. Starting with version 0.1.0 and prior to versions 0.21.34, 0.22.15, 0.23.17, and 1.0.0-M38, the `User-Agent` and `Server` header parsers are susceptible to a fatal error on certain inputs. In http4s, modeled headers are lazily parsed, so this only applies to services that explicitly request these typed headers. Fixes are released in 0.21.34, 0.22.15, 0.23.17, and 1.0.0-M38. As a workaround, use the weakly typed header interface.
CVE-2022-31777 Medium 2022-11-01 No exploit published No public exploit A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and earlier, and 3.3.0, allows remote attackers 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 rendered in the UI.
CVE-2021-42697 High 2021-11-02 Mitigation candidate Working exploit published Akka HTTP 10.1.x before 10.1.15 and 10.2.x before 10.2.7 can encounter stack exhaustion while parsing HTTP headers, which allows a remote attacker to conduct a Denial of Service attack by sending a User-Agent header with deeply nested comments.
CVE-2021-21293 High 2021-02-02 No exploit published No public exploit blaze is a Scala library for building asynchronous pipelines, with a focus on network IO. All servers running blaze-core before version 0.14.15 are affected by a vulnerability in which unbounded connection acceptance leads to file handle exhaustion. Blaze, accepts connections unconditionally on a dedicated thread pool. This has the net effect of amplifying degradation in services that are unable to handle their current request load, since incoming connections are still accepted and added to an unbounded queue. Each connection allocates a socket handle, which drains a scarce OS resource. This can also confound higher level circuit breakers which work based on detecting failed connections. The vast majority of affected users are using it as part of http4s-blaze-server <= 0.21.16. http4s provides a mechanism for limiting open connections, but is enforced inside the Blaze accept loop, after the connection is accepted and the socket opened. Thus, the limit only prevents the number of connections which can be simultaneously processed, not the number of connections which can be held open. The issue is fixed in version 0.14.15 for "NIO1SocketServerGroup". A "maxConnections" parameter is added, with a default value of 512. Concurrent connections beyond this limit are rejected. To run unbounded, which is not recommended, set a negative number. The "NIO2SocketServerGroup" has no such setting and is now deprecated. There are several possible workarounds described in the refrenced GitHub Advisory GHSA-xmw9-q7x9-j5qc.
CVE-2020-7780 High 2020-11-27 No exploit published No public exploit This affects the package com.softwaremill.akka-http-session:core_2.13 before 0.5.11; the package com.softwaremill.akka-http-session:core_2.12 before 0.5.11; the package com.softwaremill.akka-http-session:core_2.11 before 0.5.11. For older versions, endpoints protected by randomTokenCsrfProtection could be bypassed with an empty X-XSRF-TOKEN header and an empty XSRF-TOKEN cookie.
CVE-2019-10099 High 2019-08-07 No exploit published No public exploit 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 Pyspark, using broadcast and parallelize; and use of python udfs.
CVE-2018-11804 High 2018-10-24 No exploit published No public exploit Spark's Apache Maven-based build includes a convenience script, 'build/mvn', that downloads and runs a zinc server to speed up compilation. It has been included in release branches since 1.3.x, up to and including master. This server will accept connections from external hosts by default. A specially-crafted request to the zinc server could cause it to reveal information in files readable to the developer account running the build. Note that this issue does not affect end users of Spark, only developers building Spark from source code.
CVE-2018-16131 High 2018-08-30 No exploit published No public exploit The decodeRequest and decodeRequestWith directives in Lightbend Akka HTTP 10.1.x through 10.1.4 and 10.0.x through 10.0.13 allow remote attackers to cause a denial of service (memory consumption and daemon crash) via a ZIP bomb.
CVE-2018-11770 Medium 2018-08-13 Mitigation candidate Exploited 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. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs via spark-submit. However, the REST API does not use this or any other authentication mechanism, and this is not adequately documented. In this case, a user would be able to run a driver program without authenticating, but not launch executors, using the REST API. This REST API is also used by Mesos, when set up to run in cluster mode (i.e., when also running MesosClusterDispatcher), for job submission. Future versions of Spark will improve documentation on these points, and prohibit setting 'spark.authenticate.secret' when running the REST APIs, to make this clear. Future versions will also disable the REST API by default in the standalone master by changing the default value of 'spark.master.rest.enabled' to 'false'.
CVE-2018-1334 Medium 2018-07-12 No exploit published No public exploit 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.
CVE-2017-1000118 High 2017-10-05 No exploit published No public exploit Akka HTTP versions <= 10.0.5 Illegal Media Range in Accept Header Causes StackOverflowError Leading to Denial of Service
CVE-2017-7678 Medium 2017-07-12 No exploit published No public exploit In Apache Spark before 2.2.0, it is possible for an attacker 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, which could contain a script, would then be reflected back to the user and could be evaluated and executed by MS Windows-based clients. It is not an attack on Spark itself, but on the user, who may then execute the script inadvertently when viewing elements of the Spark web UIs.