Python/numpy/1.9.0


Fundamental package for array computing in Python

https://pypi.org/project/numpy
BSD

6 Security Vulnerabilities

NumPy NULL Pointer Dereference

Published date: 2022-02-08T00:00:56Z
CVE: CVE-2021-41495
Links:

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.

Affected versions: ["1.10.0", "1.13.0rc1", "1.14.0", "1.14.0rc1", "1.16.0", "1.16.6", "1.17.2", "1.18.3", "1.3.0", "1.4.1", "0.9.8", "1.0", "1.10.1", "1.11.2", "1.12.0", "1.16.2", "1.16.3", "1.17.4", "1.18.0", "1.18.5", "1.0.4", "1.10.3", "1.11.0", "1.11.3", "1.14.3", "1.14.6", "1.15.0rc2", "1.16.0rc1", "1.16.5", "1.17.0rc2", "1.18.2", "1.5.1", "1.6.0", "1.0b4", "1.10.2", "1.12.1", "1.13.3", "1.14.1", "1.15.1", "1.17.3", "1.8.0", "1.9.3", "0.9.6", "1.0b5", "1.0rc3", "1.10.4", "1.13.0rc2", "1.14.5", "1.15.0", "1.15.3", "1.15.4", "1.17.1", "1.18.0rc1", "1.18.4", "1.4.0", "1.11.1", "1.17.0rc1", "1.7.0", "1.7.1", "1.8.1", "1.9.1", "1.9.2", "1.0b1", "1.13.1", "1.14.4", "1.16.1", "1.16.4", "1.17.0", "1.2.1", "1.5.0", "1.6.1", "1.7.2", "1.0.3", "1.0rc1", "1.0rc2", "1.1.1", "1.13.0", "1.14.2", "1.15.0rc1", "1.15.2", "1.16.0rc2", "1.17.5", "1.18.1", "1.2.0", "1.6.2", "1.8.2", "1.9.0"]
Secure versions: [1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.0rc1, 1.24.0rc2, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.0rc1, 1.25.1, 1.25.2, 1.26.0, 1.26.0b1, 1.26.0rc1, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.0b1, 2.0.0rc1, 2.0.0rc2, 2.0.1, 2.0.2, 2.1.0, 2.1.0rc1, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.0rc1, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.0rc1, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.0rc1, 2.4.1, 2.4.2, 2.4.3, 2.4.4]
Recommendation: Update to version 2.4.4.

NumPy Buffer Overflow (Disputed)

Published date: 2022-01-07T00:09:39Z
CVE: CVE-2021-33430
Links:

A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArrayNewFromDescrint 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 vulnerability; 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.

Affected versions: ["1.10.0", "1.13.0rc1", "1.14.0", "1.14.0rc1", "1.16.0", "1.16.6", "1.17.2", "1.18.3", "1.10.1", "1.11.2", "1.12.0", "1.16.2", "1.16.3", "1.17.4", "1.18.0", "1.18.5", "1.19.0rc1", "1.20.1", "1.10.3", "1.11.0", "1.11.3", "1.14.3", "1.14.6", "1.15.0rc2", "1.16.0rc1", "1.16.5", "1.17.0rc2", "1.18.2", "1.19.0rc2", "1.19.1", "1.10.2", "1.12.1", "1.13.3", "1.14.1", "1.15.1", "1.17.3", "1.19.4", "1.9.3", "1.10.4", "1.13.0rc2", "1.14.5", "1.15.0", "1.15.3", "1.15.4", "1.17.1", "1.18.0rc1", "1.18.4", "1.11.1", "1.17.0rc1", "1.19.0", "1.9.1", "1.9.2", "1.13.1", "1.14.4", "1.16.1", "1.16.4", "1.17.0", "1.19.2", "1.19.3", "1.20.2", "1.13.0", "1.14.2", "1.15.0rc1", "1.15.2", "1.16.0rc2", "1.17.5", "1.18.1", "1.19.5", "1.20.0", "1.20.0rc1", "1.20.0rc2", "1.9.0", "1.20.3", "1.21.0rc1", "1.21.0rc2"]
Secure versions: [1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.0rc1, 1.24.0rc2, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.0rc1, 1.25.1, 1.25.2, 1.26.0, 1.26.0b1, 1.26.0rc1, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.0b1, 2.0.0rc1, 2.0.0rc2, 2.0.1, 2.0.2, 2.1.0, 2.1.0rc1, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.0rc1, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.0rc1, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.0rc1, 2.4.1, 2.4.2, 2.4.3, 2.4.4]
Recommendation: Update to version 2.4.4.

Numpy Deserialization of Untrusted Data

Published date: 2022-05-24T22:00:57Z
CVE: CVE-2019-6446
Links:

** DISPUTED ** 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.

Affected versions: ["1.10.0", "1.13.0rc1", "1.14.0", "1.14.0rc1", "1.16.0", "1.3.0", "1.4.1", "0.9.8", "1.0", "1.10.1", "1.11.2", "1.12.0", "1.0.4", "1.10.3", "1.11.0", "1.11.3", "1.14.3", "1.14.6", "1.15.0rc2", "1.16.0rc1", "1.5.1", "1.6.0", "1.0b4", "1.10.2", "1.12.1", "1.13.3", "1.14.1", "1.15.1", "1.8.0", "1.9.3", "0.9.6", "1.0b5", "1.0rc3", "1.10.4", "1.13.0rc2", "1.14.5", "1.15.0", "1.15.3", "1.15.4", "1.4.0", "1.11.1", "1.7.0", "1.7.1", "1.8.1", "1.9.1", "1.9.2", "1.0b1", "1.13.1", "1.14.4", "1.2.1", "1.5.0", "1.6.1", "1.7.2", "1.0.3", "1.0rc1", "1.0rc2", "1.1.1", "1.13.0", "1.14.2", "1.15.0rc1", "1.15.2", "1.16.0rc2", "1.2.0", "1.6.2", "1.8.2", "1.9.0"]
Secure versions: [1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.0rc1, 1.24.0rc2, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.0rc1, 1.25.1, 1.25.2, 1.26.0, 1.26.0b1, 1.26.0rc1, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.0b1, 2.0.0rc1, 2.0.0rc2, 2.0.1, 2.0.2, 2.1.0, 2.1.0rc1, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.0rc1, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.0rc1, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.0rc1, 2.4.1, 2.4.2, 2.4.3, 2.4.4]
Recommendation: Update to version 2.4.4.

Buffer Copy without Checking Size of Input in NumPy

Published date: 2022-02-08T00:00:56Z
CVE: CVE-2021-41496
Links:

Buffer overflow in the arrayfrompyobj 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.

Affected versions: ["1.10.0", "1.13.0rc1", "1.14.0", "1.14.0rc1", "1.16.0", "1.16.6", "1.17.2", "1.18.3", "1.3.0", "1.4.1", "0.9.8", "1.0", "1.10.1", "1.11.2", "1.12.0", "1.16.2", "1.16.3", "1.17.4", "1.18.0", "1.18.5", "1.0.4", "1.10.3", "1.11.0", "1.11.3", "1.14.3", "1.14.6", "1.15.0rc2", "1.16.0rc1", "1.16.5", "1.17.0rc2", "1.18.2", "1.5.1", "1.6.0", "1.0b4", "1.10.2", "1.12.1", "1.13.3", "1.14.1", "1.15.1", "1.17.3", "1.8.0", "1.9.3", "0.9.6", "1.0b5", "1.0rc3", "1.10.4", "1.13.0rc2", "1.14.5", "1.15.0", "1.15.3", "1.15.4", "1.17.1", "1.18.0rc1", "1.18.4", "1.4.0", "1.11.1", "1.17.0rc1", "1.7.0", "1.7.1", "1.8.1", "1.9.1", "1.9.2", "1.0b1", "1.13.1", "1.14.4", "1.16.1", "1.16.4", "1.17.0", "1.2.1", "1.5.0", "1.6.1", "1.7.2", "1.0.3", "1.0rc1", "1.0rc2", "1.1.1", "1.13.0", "1.14.2", "1.15.0rc1", "1.15.2", "1.16.0rc2", "1.17.5", "1.18.1", "1.2.0", "1.6.2", "1.8.2", "1.9.0"]
Secure versions: [1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.0rc1, 1.24.0rc2, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.0rc1, 1.25.1, 1.25.2, 1.26.0, 1.26.0b1, 1.26.0rc1, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.0b1, 2.0.0rc1, 2.0.0rc2, 2.0.1, 2.0.2, 2.1.0, 2.1.0rc1, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.0rc1, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.0rc1, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.0rc1, 2.4.1, 2.4.2, 2.4.3, 2.4.4]
Recommendation: Update to version 2.4.4.

Incorrect Comparison in NumPy

Published date: 2021-12-18T00:00:41Z
CVE: CVE-2021-34141
Links:

Incomplete string comparison in the numpy.core component in NumPy1.9.x, which allows attackers to fail the APIs via constructing specific string objects.

Affected versions: ["1.10.0", "1.13.0rc1", "1.14.0", "1.14.0rc1", "1.16.0", "1.16.6", "1.17.2", "1.18.3", "1.3.0", "1.4.1", "0.9.8", "1.0", "1.10.1", "1.11.2", "1.12.0", "1.16.2", "1.16.3", "1.17.4", "1.18.0", "1.18.5", "1.19.0rc1", "1.20.1", "1.0.4", "1.10.3", "1.11.0", "1.11.3", "1.14.3", "1.14.6", "1.15.0rc2", "1.16.0rc1", "1.16.5", "1.17.0rc2", "1.18.2", "1.19.0rc2", "1.19.1", "1.5.1", "1.6.0", "1.0b4", "1.10.2", "1.12.1", "1.13.3", "1.14.1", "1.15.1", "1.17.3", "1.19.4", "1.8.0", "1.9.3", "0.9.6", "1.0b5", "1.0rc3", "1.10.4", "1.13.0rc2", "1.14.5", "1.15.0", "1.15.3", "1.15.4", "1.17.1", "1.18.0rc1", "1.18.4", "1.4.0", "1.11.1", "1.17.0rc1", "1.19.0", "1.7.0", "1.7.1", "1.8.1", "1.9.1", "1.9.2", "1.0b1", "1.13.1", "1.14.4", "1.16.1", "1.16.4", "1.17.0", "1.19.2", "1.19.3", "1.2.1", "1.20.2", "1.5.0", "1.6.1", "1.7.2", "1.0.3", "1.0rc1", "1.0rc2", "1.1.1", "1.13.0", "1.14.2", "1.15.0rc1", "1.15.2", "1.16.0rc2", "1.17.5", "1.18.1", "1.19.5", "1.2.0", "1.20.0", "1.20.0rc1", "1.20.0rc2", "1.6.2", "1.8.2", "1.9.0", "1.20.3", "1.21.0rc1", "1.21.0rc2", "1.21.0", "1.21.1", "1.21.2", "1.21.3", "1.21.4", "1.22.0rc1", "1.22.0rc2", "1.21.5", "1.22.0rc3", "1.21.6"]
Secure versions: [1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.0rc1, 1.24.0rc2, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.0rc1, 1.25.1, 1.25.2, 1.26.0, 1.26.0b1, 1.26.0rc1, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.0b1, 2.0.0rc1, 2.0.0rc2, 2.0.1, 2.0.2, 2.1.0, 2.1.0rc1, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.0rc1, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.0rc1, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.0rc1, 2.4.1, 2.4.2, 2.4.3, 2.4.4]
Recommendation: Update to version 2.4.4.

Numpy missing input validation

Published date: 2022-05-13T01:42:46Z
CVE: CVE-2017-12852
Links:

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.

Affected versions: ["1.10.0", "1.13.0rc1", "1.3.0", "1.4.1", "0.9.8", "1.0", "1.10.1", "1.11.2", "1.12.0", "1.0.4", "1.10.3", "1.11.0", "1.11.3", "1.5.1", "1.6.0", "1.0b4", "1.10.2", "1.12.1", "1.8.0", "1.9.3", "0.9.6", "1.0b5", "1.0rc3", "1.10.4", "1.13.0rc2", "1.4.0", "1.11.1", "1.7.0", "1.7.1", "1.8.1", "1.9.1", "1.9.2", "1.0b1", "1.13.1", "1.2.1", "1.5.0", "1.6.1", "1.7.2", "1.0.3", "1.0rc1", "1.0rc2", "1.1.1", "1.13.0", "1.2.0", "1.6.2", "1.8.2", "1.9.0"]
Secure versions: [1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.0rc1, 1.24.0rc2, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.0rc1, 1.25.1, 1.25.2, 1.26.0, 1.26.0b1, 1.26.0rc1, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.0b1, 2.0.0rc1, 2.0.0rc2, 2.0.1, 2.0.2, 2.1.0, 2.1.0rc1, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.0rc1, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.0rc1, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.0rc1, 2.4.1, 2.4.2, 2.4.3, 2.4.4]
Recommendation: Update to version 2.4.4.

177 Other Versions

Version License Security Released
2.4.4 UNKNOWN
2.4.3 UNKNOWN
2.4.2 UNKNOWN
2.4.1 UNKNOWN
2.4.0 UNKNOWN
2.4.0rc1 UNKNOWN
2.3.5 BSD
2.3.4 BSD
2.3.3 BSD
2.3.2 BSD
2.3.1 BSD
2.3.0 BSD
2.3.0rc1 BSD
2.2.6 BSD
2.2.5 BSD 1970-01-01 - 00:00 over 56 years
2.2.4 BSD 1970-01-01 - 00:00 over 56 years
2.2.3 BSD 1970-01-01 - 00:00 over 56 years
2.2.2 BSD 1970-01-01 - 00:00 over 56 years
2.2.1 BSD 1970-01-01 - 00:00 over 56 years
2.2.0 BSD 1970-01-01 - 00:00 over 56 years
2.2.0rc1 BSD 1970-01-01 - 00:00 over 56 years
2.1.3 BSD 1970-01-01 - 00:00 over 56 years
2.1.2 BSD 1970-01-01 - 00:00 over 56 years
2.1.1 BSD 1970-01-01 - 00:00 over 56 years
2.1.0 BSD 1970-01-01 - 00:00 over 56 years
2.1.0rc1 BSD 1970-01-01 - 00:00 over 56 years
2.0.2 BSD 1970-01-01 - 00:00 over 56 years
2.0.1 BSD 1970-01-01 - 00:00 over 56 years
2.0.0 BSD 1970-01-01 - 00:00 over 56 years
2.0.0rc2 BSD 1970-01-01 - 00:00 over 56 years
2.0.0rc1 BSD 1970-01-01 - 00:00 over 56 years
2.0.0b1 BSD 1970-01-01 - 00:00 over 56 years
1.26.4 BSD 1970-01-01 - 00:00 over 56 years
1.26.3 BSD 1970-01-01 - 00:00 over 56 years
1.26.2 BSD 1970-01-01 - 00:00 over 56 years
1.26.1 BSD 1970-01-01 - 00:00 over 56 years
1.26.0 BSD 1970-01-01 - 00:00 over 56 years
1.26.0rc1 BSD 1970-01-01 - 00:00 over 56 years
1.26.0b1 BSD 1970-01-01 - 00:00 over 56 years
1.25.2 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.25.1 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.25.0 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.25.0rc1 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.4 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.3 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.2 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.1 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.0 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.0rc2 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years
1.24.0rc1 BSD-3-Clause AND BSD 1970-01-01 - 00:00 over 56 years