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Protection: None✕Product core_2.11✕
Overview 10 matches · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
10matches 0protected0.0% 0exploited0.0% 0CISA KEV0.0% 0public PoC0.0% 0EPSS ≥ 0.50.0%
Protected by Waratek 0 0.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 10 100.0%
Critical 0 0.0% High 7 70.0% Medium 3 30.0% 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 10 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 0 0.0% Working exploit published 0 0.0% Proof of concept only 1 10.0% Forecast only 0 0.0% No public exploit 9 90.0%
split by peak 2 / quarter
No exploit published: 10 Medium: 3High: 7 not blocked: 10 No public exploit: 9Proof of concept only: 1
Q3 171 No exploit published1 Medium1 not blocked1 No public exploit1 Q4 171 No exploit published1 High1 not blocked1 No public exploit1 Q1 180 Q2 180 Q3 182 No exploit published2 High1 Medium1 not blocked2 No public exploit2 Q4 181 No exploit published1 High1 not blocked1 No public exploit1 Q1 190 Q2 190 Q3 191 No exploit published1 High1 not blocked1 No public exploit1 Q4 190 Q1 200 Q2 200 Q3 200 Q4 201 No exploit published1 High1 not blocked1 No public exploit1 Q1 211 No exploit published1 High1 not blocked1 No public exploit1 Q2 210 Q3 210 Q4 210 Q1 220 Q2 220 Q3 220 Q4 221 No exploit published1 Medium1 not blocked1 No public exploit1 Q1 231 No exploit published1 High1 not blocked1 Proof of concept only1
Q3 17Q1 18Q3 18Q1 19Q3 19Q1 20Q3 20Q1 21Q3 21Q1 22Q3 22Q1 23
10 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-2023-22465 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-2021-21293 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-2018-1334 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.