1193 matches found
GHSA-9XCJ-C8CR-8C3C vulnerabilities
Vulnerabilities for packages: spark-compat...
CVE-2019-12418 vulnerabilities
Vulnerabilities for packages: spark-compat...
CVE-2019-17563 vulnerabilities
Vulnerabilities for packages: spark-compat...
Security Bulletin: Multiple Vulnerabilities in Apache Spark affects IBM Watson Studio Local
Summary Security Bulletin: Multiple Vulnerabilities in Apache Spark affects IBM Watson Studio Local Vulnerability Details CVEID: CVE-2018-11804 DESCRIPTION: Spark's Apache Maven-based build includes a convenience script, 'build/mvn', that downloads and runs a zinc server to speed up compilation. ...
CVE-2019-10172 vulnerabilities
Vulnerabilities for packages: hadoop-fips...
CVE-2019-15417
The Tecno Spark Pro Android device with a build fingerprint of TECNO/H3722/TECNO-K8:7.0/NRD90M/K8-H3722ABCDE-N-171229V96:user/release-keys contains a pre-installed app with a package name of com.lovelyfont.defcontainer app versionCode=7, versionName=7.0.5 that allows unauthorized dynamic code...
Code injection
The Tecno Spark Pro Android device with a build fingerprint of TECNO/H3722/TECNO-K8:7.0/NRD90M/K8-H3722ABCDE-N-171229V96:user/release-keys contains a pre-installed app with a package name of com.lovelyfont.defcontainer app versionCode=7, versionName=7.0.5 that allows unauthorized dynamic code...
CVE-2019-15417
The Tecno Spark Pro Android device with a build fingerprint of TECNO/H3722/TECNO-K8:7.0/NRD90M/K8-H3722ABCDE-N-171229V96:user/release-keys contains a pre-installed app with a package name of com.lovelyfont.defcontainer app versionCode=7, versionName=7.0.5 that allows unauthorized dynamic code...
CVE-2019-15417
The CVE-2019-15417 entry concerns a Tecno Spark Pro Android device (build TECNO/H3722/TECNO-K8:7.0/NRD90M/K8-H3722ABCDE-N-171229V96:user/release-keys) with a pre-installed app, com.lovelyfont.defcontainer (versionCode 7, versionName 7.0.5), that allows unauthorized dynamic code loading via a conf...
CISO and Security Vendor Relationships are Good for a Laugh in New Comic Videos
It’s not easy being a CISO. One could say “intense” might be the perfect descriptor for the CISO work environment. Tasked with the unenviable job of keeping the organization safe, carrying the burden of failed protection and taking hits for successful breaches, CISOs can never rest. They are...
Security Bulletin: IBM Cloud Private for Data is affected by a user impersonation vulnerability in PySpark.
Summary When using Open Source Apache 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. Vulnerability Details CVE-ID:...
CVE-2019-10202 vulnerabilities
Vulnerabilities for packages: hadoop-fips...
Information Disclosure
spark-core is vulnerable to information disclosure. The vulnerability exists as it leaves data unencrypted on local disk...
Sensitive data written to disk unencrypted in Spark
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...
ae.teletronics.nlp:entityextraction (=1.3), ae.teletronics.nlp:w2vec (=1.0) +1038 more potentially affected by CVE-2019-10099 via org.apache.spark:spark-core_2.11 (>=1.2.0 <=2.3.2)
org.apache.spark:spark-core2.11 MAVEN version =1.2.0, =0.25, =0.42.1, =1.4.1, =1.4.1, =1.4.1, =1.4.1, =1.4.1, =1.4.1, =1.4.1, =1.4.1, =1.4.1, =1.4.3 and more Source cves: CVE-2019-10099 Source advisory: OSV:GHSA-FP5J-3FPF-MHJ5...
analytics-zoo (>=0.2.0 <=0.4.0), azureml-webservice-schema (>=0.1.57 <=1.0.33) +9 more potentially affected by CVE-2019-10099 via pyspark (>=2.1.2 <=2.3.2)
pyspark PYPI version =2.1.2, =0.2.0, =0.1.57, =0.8.0, =0.2.1, =2.0.3, =1.0.0rc2, =0.2.0, =0.2.4 Source cves: CVE-2019-10099 Source advisory: OSV:GHSA-FP5J-3FPF-MHJ5...
GHSA-FP5J-3FPF-MHJ5 Sensitive data written to disk unencrypted in Spark
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...
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 Pyspark, using...
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 Pyspark, using...
Code injection
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...