A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user
References
Link | Resource |
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https://github.com/numpy/numpy/issues/18939 | Exploit Third Party Advisory |
https://github.com/numpy/numpy/issues/18939 | Exploit Third Party Advisory |
Configurations
History
21 Nov 2024, 06:08
Type | Values Removed | Values Added |
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References | () https://github.com/numpy/numpy/issues/18939 - Exploit, Third Party Advisory |
07 Nov 2023, 03:35
Type | Values Removed | Values Added |
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Summary | A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user |
Information
Published : 2021-12-17 19:15
Updated : 2024-11-21 06:08
NVD link : CVE-2021-33430
Mitre link : CVE-2021-33430
CVE.ORG link : CVE-2021-33430
JSON object : View
Products Affected
numpy
- numpy
CWE
CWE-120
Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')