Security Bulletin
This security bulletin contains information about 2 vulnerabilities.
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.
Install updates from vendor's website.
Vulnerable software versionsNumpy: 1.0 b1 - 1.21.5
CPE2.3https://github.com/numpy/numpy/issues/18993
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.
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.
Install updates from vendor's website.
Vulnerable software versionsNumpy: 1.0 b1 - 1.21.5
CPE2.3https://github.com/numpy/numpy/issues/19000
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.