cvelist/2019/6xxx/CVE-2019-6446.json
2019-02-25 15:05:14 -05:00

73 lines
2.2 KiB
JSON

{
"CVE_data_meta" : {
"ASSIGNER" : "cve@mitre.org",
"ID" : "CVE-2019-6446",
"STATE" : "PUBLIC"
},
"affects" : {
"vendor" : {
"vendor_data" : [
{
"product" : {
"product_data" : [
{
"product_name" : "n/a",
"version" : {
"version_data" : [
{
"version_value" : "n/a"
}
]
}
}
]
},
"vendor_name" : "n/a"
}
]
}
},
"data_format" : "MITRE",
"data_type" : "CVE",
"data_version" : "4.0",
"description" : {
"description_data" : [
{
"lang" : "eng",
"value" : "** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources."
}
]
},
"problemtype" : {
"problemtype_data" : [
{
"description" : [
{
"lang" : "eng",
"value" : "n/a"
}
]
}
]
},
"references" : {
"reference_data" : [
{
"name" : "https://bugzilla.suse.com/show_bug.cgi?id=1122208",
"refsource" : "MISC",
"url" : "https://bugzilla.suse.com/show_bug.cgi?id=1122208"
},
{
"name" : "https://github.com/numpy/numpy/issues/12759",
"refsource" : "MISC",
"url" : "https://github.com/numpy/numpy/issues/12759"
},
{
"name" : "106670",
"refsource" : "BID",
"url" : "http://www.securityfocus.com/bid/106670"
}
]
}
}