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
Find out more about CVE-2019-6446 from the MITRE-CVE dictionary and NIST NVD
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Product Name | Status | Defect | Fixed | Downloads |
---|---|---|---|---|
Linux | ||||
Wind River Linux LTS 17 | Not Vulnerable | -- | -- | -- |
Wind River Linux 8 | Not Vulnerable | -- | -- | -- |
Wind River Linux 9 | Not Vulnerable | -- | -- | -- |
Wind River Linux 7 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 21 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 22 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 18 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 19 | Not Vulnerable | -- | -- | -- |
Wind River Linux CD release | Not Vulnerable | -- | -- | -- |
Wind River Linux 6 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 23 | Not Vulnerable | -- | -- | -- |
VxWorks | ||||
VxWorks 7 | Not Vulnerable | -- | -- | -- |
VxWorks 6.9 | Not Vulnerable | -- | -- | -- |
Helix Virtualization Platform Cert Edition | ||||
Helix Virtualization Platform Cert Edition | Not Vulnerable | -- | -- | -- |
eLxr | ||||
eLxr 12 | Not Vulnerable | -- | -- | -- |
Product Name | Status | Defect | Fixed | Downloads |
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