Vulnerability-Lookup

RHSA-2022:0987

Vulnerability from csaf_redhat - Published: 2022-03-24 10:59 - Updated: 2026-01-08 13:46
Summary
Red Hat Security Advisory: Red Hat OpenStack Platform 16.1 (numpy) security update
Notes
Topic
An update for numpy is now available for Red Hat OpenStack Platform 16.1 (Train). Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details
A fast multidimensional array facility for Python Security Fix(es): * buffer overflow in the PyArray_NewFromDescr_int() in ctors.c (CVE-2021-33430) * buffer overflow in the array_from_pyobj() in fortranobject.c (CVE-2021-41496) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page listed in the References section.
This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
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          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2022:0987"
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 5.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "products": [
            "8Base-RHOS-16.1:numpy-1:1.17.0-8.el8ost.src",
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          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "title": "numpy: buffer overflow in the array_from_pyobj() in fortranobject.c"
    }
  ]
}
CVE-2021-41496 (GCVE-0-2021-41496)

Vulnerability from cvelistv5 – Published: 2021-12-17 19:56 – Updated: 2024-08-04 03:15 Disputed
Summary
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 created by an already privileged user (or internally)
Severity ?
No CVSS data available.
CWE
Assigner
mitre
References
URL
CVE-2021-33430 (GCVE-0-2021-33430)

Vulnerability from cvelistv5 – Published: 2021-12-17 18:36 – Updated: 2024-08-03 23:50 Disputed
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
Severity ?
No CVSS data available.
CWE
Assigner
mitre
References
URL
Sightings

Author	Source	Type	Date
Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Detection rules are retrieved from Rulezet.
Action not permitted

RHSA-2022:0987

CVE-2021-41496 (GCVE-0-2021-41496)

CVE-2021-33430 (GCVE-0-2021-33430)

Tags

Sightings

Nomenclature
