CVE-2019-6446

UnknownEPSS 17.08%

Last modified

CVE-2019-6446 is a vulnerability of currently unknown severity. An issue was discovered in NumPy before 1.16.3. 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. EPSS estimates a 17.08% chance of exploitation in the next 30 days.

Description

An issue was discovered in NumPy before 1.16.3. 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.

Metrics

EPSS Probability
17.08%

96.7th percentile

Probability of exploitation in the next 30 days. Learn more

Weakness Enumeration

Affected Software

VendorProductVersions
NumpyNumpy<= 1.16.0
FedoraprojectFedora30

References

Timeline

Published
Last Modified
Status
Modified

Frequently Asked Questions

What is CVE-2019-6446?
An issue was discovered in NumPy before 1.16.3. 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.
How severe is CVE-2019-6446?
Severity scoring for CVE-2019-6446 is pending analysis. The EPSS model estimates a 17.08% probability of exploitation in the next 30 days.
How do I fix CVE-2019-6446?
Check the vendor references and advisories linked above for patched versions and mitigation guidance. You can also run a Strix scan to test if your systems are affected.

Are you affected by CVE-2019-6446?

Run a free Strix scan to check your systems for this vulnerability.

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Source: NVD / NIST