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CVE-2021-41496 Moderate

CVE-2021-41496

Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)

Exploit probability 0.4%
Published December 17, 2021
Required by Not available
Last source change July 25, 2026

02 / AFFECTED SOFTWARE

Affected packages

Unknown Unknown

6 explicit affected versions

PyPI numpy

89 explicit affected versions

PyPI numpy

77 explicit affected versions

03 / CONNECTIONS

Connected vulnerabilities

04 / EVIDENCE

Source records

Open Source Vulnerabilities CVE-2021-41496

Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)

View original source
Open Source Vulnerabilities GHSA-f7c7-j99h-c22f

Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values.

View original source
Open Source Vulnerabilities PYSEC-2021-857

Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values.

View original source

05 / REFERENCES

Further evidence