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CVE
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CVE-2019-6446Date: (C)2019-05-13   (M)2024-04-19


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

CVSS Score and Metrics +CVSS Score and Metrics -

CVSS V3 Severity:CVSS V2 Severity:
CVSS Score : 9.8CVSS Score : 7.5
Exploit Score: 3.9Exploit Score: 10.0
Impact Score: 5.9Impact Score: 6.4
 
CVSS V3 Metrics:CVSS V2 Metrics:
Attack Vector: NETWORKAccess Vector: NETWORK
Attack Complexity: LOWAccess Complexity: LOW
Privileges Required: NONEAuthentication: NONE
User Interaction: NONEConfidentiality: PARTIAL
Scope: UNCHANGEDIntegrity: PARTIAL
Confidentiality: HIGHAvailability: PARTIAL
Integrity: HIGH 
Availability: HIGH 
  
Reference:
BID-106670
FEDORA-2019-1dfe95a864
RHSA-2019:3335
RHSA-2019:3704
https://bugzilla.suse.com/show_bug.cgi?id=1122208
https://github.com/numpy/numpy/issues/12759
openSUSE-SU-2019:2225
openSUSE-SU-2019:2227
openSUSE-SU-2019:2259

CWE    1
CWE-502
OVAL    14
oval:org.secpod.oval:def:1900013
oval:org.secpod.oval:def:89050671
oval:org.secpod.oval:def:89003251
oval:org.secpod.oval:def:89003038
...

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