https://patchthecve.com/CVEs with upgrade or downgrade fix stepshttps://patchthecve.com/cve/CVE-2021-41496.htmlhttps://patchthecve.com/cve/CVE-2021-41496.htmlWed, 17 Jun 2026 04:08:34 +0000MEDIUM 5.5: 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 crehttps://patchthecve.com/cve/CVE-2021-41495.htmlhttps://patchthecve.com/cve/CVE-2021-41495.htmlWed, 17 Jun 2026 04:08:33 +0000MEDIUM 5.3: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can https://patchthecve.com/cve/CVE-2021-34141.htmlhttps://patchthecve.com/cve/CVE-2021-34141.htmlThu, 08 Oct 2026 21:17:35 +0000MEDIUM 5.3: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."https://patchthecve.com/cve/CVE-2021-33430.htmlhttps://patchthecve.com/cve/CVE-2021-33430.htmlWed, 17 Jun 2026 03:54:32 +0000MEDIUM 5.3: 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 (verhttps://patchthecve.com/cve/CVE-2019-6446.htmlhttps://patchthecve.com/cve/CVE-2019-6446.htmlWed, 17 Jun 2026 02:39:03 +0000CRITICAL 9.8: 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 lehttps://patchthecve.com/cve/CVE-2014-1859.htmlhttps://patchthecve.com/cve/CVE-2014-1859.htmlWed, 17 Jun 2026 00:05:39 +0000MEDIUM 5.5: (1) core/tests/test_memmap.py, (2) core/tests/test_multiarray.py, (3) f2py/f2py2e.py, and (4) lib/tests/test_io.py in NumPy before 1.8.1 allow local users to write to arbitrary files via a symlink attack on a temporary file.https://patchthecve.com/cve/CVE-2014-1858.htmlhttps://patchthecve.com/cve/CVE-2014-1858.htmlWed, 17 Jun 2026 00:05:39 +0000MEDIUM 5.5: __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack on a temporary file.https://patchthecve.com/cve/CVE-2017-12852.htmlhttps://patchthecve.com/cve/CVE-2017-12852.htmlWed, 17 Jun 2026 01:04:01 +0000HIGH 7.5: The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.