Overview 5 matches · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
5matches
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
5
100.0%
blocked by ARMR today
0
0.0%
partly blocked
0
0.0%
not blocked
5
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
0
0.0%
Forecast only
0
0.0%
No public exploit
5
100.0%
split by
peak 1 / quarter
Q4 181
No exploit published1
High1
not blocked1
No public exploit1
Q1 190
Q2 191
No exploit published1
High1
not blocked1
No public exploit1
Q3 191
No exploit published1
High1
not blocked1
No public exploit1
Q4 190
Q1 200
Q2 200
Q3 200
Q4 200
Q1 210
Q2 210
Q3 210
Q4 210
Q1 221
No exploit published1
High1
not blocked1
No public exploit1
Q2 220
Q3 220
Q4 220
Q1 230
Q2 230
Q3 230
Q4 230
Q1 240
Q2 240
Q3 241
No exploit published1
High1
not blocked1
No public exploit1
Q1 19Q3 19Q1 20Q3 20Q1 21Q3 21Q1 22Q3 22Q1 23Q3 23Q1 24Q3 24
| CVE | Severity | Published▾ | Status | Exploitation | Description |
|---|---|---|---|---|---|
| CVE-2024-39928 | High | 2024-09-25 | No exploit published | No public exploit | In Apache Linkis <= 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue. |
| CVE-2021-38296 | High | 2022-03-10 | No exploit published | No public exploit | Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and "spark.network.crypto.enabled". In versions 3.1.2 and earlier, it uses a bespoke mutual authentication protocol that allows for full encryption key recovery. After an initial interactive attack, this would allow someone to decrypt plaintext traffic offline. Note that this does not affect security mechanisms controlled by "spark.authenticate.enableSaslEncryption", "spark.io.encryption.enabled", "spark.ssl", "spark.ui.strictTransportSecurity". Update to Apache Spark 3.1.3 or later |
| 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-2019-10291 | High | 2019-04-04 | No exploit published | No public exploit | Jenkins Netsparker Cloud Scan Plugin 1.1.5 and older stored credentials unencrypted in its global configuration file on the Jenkins master where they could be viewed by users with access to the master file system. |
| 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. |