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- Added submission from Apache Spark from 2018-11-18.

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CVE Team 2018-11-19 08:33:45 -05:00
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commit df7d18eac2
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1 changed files with 45 additions and 3 deletions
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2018/17xxx/CVE-2018-17190.json
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@ -1,8 +1,31 @@
{
"CVE_data_meta" : {
"ASSIGNER" : "cve@mitre.org",
"ASSIGNER" : "security@apache.org",
"ID" : "CVE-2018-17190",
"STATE" : "RESERVED"
"STATE" : "PUBLIC"
},
"affects" : {
"vendor" : {
"vendor_data" : [
{
"product" : {
"product_data" : [
{
"product_name" : "Apache Spark",
"version" : {
"version_data" : [
{
"version_value" : "All versions"
}
]
}
}
]
},
"vendor_name" : "Apache Software Foundation"
}
]
}
},
"data_format" : "MITRE",
"data_type" : "CVE",
@ -11,7 +34,26 @@
"description_data" : [
{
"lang" : "eng",
"value" : "** RESERVED ** This candidate has been reserved by an organization or individual that will use it when announcing a new security problem. When the candidate has been publicized, the details for this candidate will be provided."
"value" : "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. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected."
}
]
},
"problemtype" : {
"problemtype_data" : [
{
"description" : [
{
"lang" : "eng",
"value" : "Arbitrary Code Execution"
}
]
}
]
},
"references" : {
"reference_data" : [
{
"url" : "https://lists.apache.org/thread.html/341c3187f15cdb0d353261d2bfecf2324d56cb7db1339bfc7b30f6e5@%3Cdev.spark.apache.org%3E"
}
]
}