Ubuntu update for numpy
| Risk | Low |
| Patch available | YES |
| Number of vulnerabilities | 4 |
| CVE-ID | CVE-2021-33430 CVE-2021-34141 CVE-2021-41495 CVE-2021-41496 |
| CWE-ID | CWE-119 CWE-697 CWE-476 |
| Exploitation vector | Network |
| Public exploit | N/A |
| Vulnerable software |
Ubuntu Operating systems & Components / Operating system python3-numpy (Ubuntu package) Operating systems & Components / Operating system package or component |
| Vendor | Canonical Ltd. |
Security Bulletin
This security bulletin contains information about 4 vulnerabilities.
1) Buffer overflow
EUVDB-ID: #VU61603
Risk: Low
CVSSv4.0: 1.7 [CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Clear]
CVE-ID: CVE-2021-33430
CWE-ID:
CWE-119 - Memory corruption
Exploit availability: No
DescriptionThe vulnerability allows a remote attacker to perform a denial of service (DoS) attack.
The vulnerability exists due to a boundary error in the PyArray_NewFromDescr_int() function of ctors.c. A remote attacker can pass specially crafted data to the library and perform a denial of service (DoS) attack.
Update the affected package numpy to the latest version.
Vulnerable software versionsUbuntu: 20.04 - 22.10
python3-numpy (Ubuntu package): before 1:1.17.4-5ubuntu3.1
CPE2.3- cpe:2.3:o:canonical:ubuntu:20.04:*:*:*:*:*:*:*
- cpe:2.3:o:canonical:ubuntu:22.04:*:*:*:*:*:*:*
- cpe:2.3:o:canonical:ubuntu:22.10:*:*:*:*:*:*:*
- cpe:2.3:o:canonical:python3-numpy_ubuntu_package:*:*:*:*:*:ubuntu:*:*
https://ubuntu.com/security/notices/USN-5763-1
Q & A
Can this vulnerability be exploited remotely?
Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.
Is there known malware, which exploits this vulnerability?
No. We are not aware of malware exploiting this vulnerability.
2) Incorrect Comparison
EUVDB-ID: #VU61602
Risk: Low
CVSSv4.0: 1.7 [CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Clear]
CVE-ID: CVE-2021-34141
CWE-ID:
CWE-697 - Incorrect Comparison
Exploit availability: No
DescriptionThe vulnerability allows a remote attacker to perform a denial of service (DoS) attack.
The vulnerability exists due to incomplete string comparison in the numpy.core component in NumPy. A remote attacker can pass specific string objects to the library and perform a denial of service (DoS) attack.
Update the affected package numpy to the latest version.
Vulnerable software versionsUbuntu: 20.04 - 22.10
python3-numpy (Ubuntu package): before 1:1.17.4-5ubuntu3.1
CPE2.3 External linkshttps://ubuntu.com/security/notices/USN-5763-1
Q & A
Can this vulnerability be exploited remotely?
Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.
Is there known malware, which exploits this vulnerability?
No. We are not aware of malware exploiting this vulnerability.
3) NULL pointer dereference
EUVDB-ID: #VU61605
Risk: Low
CVSSv4.0: 1.7 [CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Clear]
CVE-ID: CVE-2021-41495
CWE-ID:
CWE-476 - NULL Pointer Dereference
Exploit availability: No
DescriptionThe vulnerability allows a remote attacker to perform a denial of service (DoS) attack.
The vulnerability exists due to a NULL pointer dereference error in numpy.sort in NumPy. A remote attacker can perform a denial of service (DoS) attack.
MitigationUpdate the affected package numpy to the latest version.
Vulnerable software versionsUbuntu: 20.04 - 22.10
python3-numpy (Ubuntu package): before 1:1.17.4-5ubuntu3.1
CPE2.3 External linkshttps://ubuntu.com/security/notices/USN-5763-1
Q & A
Can this vulnerability be exploited remotely?
Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.
Is there known malware, which exploits this vulnerability?
No. We are not aware of malware exploiting this vulnerability.
4) Buffer overflow
EUVDB-ID: #VU61601
Risk: Low
CVSSv4.0: 0.6 [CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Clear]
CVE-ID: CVE-2021-41496
CWE-ID:
CWE-119 - Memory corruption
Exploit availability: No
DescriptionThe vulnerability allows a remote user to perform a denial of service (DoS) attack.
The vulnerability exists due to a boundary error within the array_from_pyobj() function in fortranobject.c. A remote user can pass an array with negative values to the application and perform a denial of service (DoS) attack.
Update the affected package numpy to the latest version.
Vulnerable software versionsUbuntu: 20.04 - 22.10
python3-numpy (Ubuntu package): before 1:1.17.4-5ubuntu3.1
CPE2.3 External linkshttps://ubuntu.com/security/notices/USN-5763-1
Q & A
Can this vulnerability be exploited remotely?
Yes. This vulnerability can be exploited by a remote authenticated user via the Internet.
Is there known malware, which exploits this vulnerability?
No. We are not aware of malware exploiting this vulnerability.
