cve-2021-41496
Vulnerability from cvelistv5
Published
2021-12-17 19:56
Modified
2024-08-04 03:15
Severity ?
EPSS score ?
0.03% (0.04577)
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)
References
cve@mitre.orghttps://github.com/numpy/numpy/issues/19000Exploit, Issue Tracking, Patch, Third Party Advisory
cve@mitre.orghttps://www.oracle.com/security-alerts/cpujul2022.htmlThird Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/numpy/numpy/issues/19000Exploit, Issue Tracking, Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://www.oracle.com/security-alerts/cpujul2022.htmlThird Party Advisory
Impacted products
Vendor Product Version
n/a n/a Version: n/a
Show details on NVD website

To clipboard 

{
   containers: {
      adp: [
         {
            providerMetadata: {
               dateUpdated: "2024-08-04T03:15:28.678Z",
               orgId: "af854a3a-2127-422b-91ae-364da2661108",
               shortName: "CVE",
            },
            references: [
               {
                  tags: [
                     "x_refsource_MISC",
                     "x_transferred",
                  ],
                  url: "https://github.com/numpy/numpy/issues/19000",
               },
               {
                  tags: [
                     "x_transferred",
                  ],
                  url: "https://www.oracle.com/security-alerts/cpujul2022.html",
               },
            ],
            title: "CVE Program Container",
         },
      ],
      cna: {
         affected: [
            {
               product: "n/a",
               vendor: "n/a",
               versions: [
                  {
                     status: "affected",
                     version: "n/a",
                  },
               ],
            },
         ],
         descriptions: [
            {
               lang: "en",
               value: "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)",
            },
         ],
         problemTypes: [
            {
               descriptions: [
                  {
                     description: "n/a",
                     lang: "en",
                     type: "text",
                  },
               ],
            },
         ],
         providerMetadata: {
            dateUpdated: "2022-02-07T18:10:33",
            orgId: "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
            shortName: "mitre",
         },
         references: [
            {
               tags: [
                  "x_refsource_MISC",
               ],
               url: "https://github.com/numpy/numpy/issues/19000",
            },
            {
               url: "https://www.oracle.com/security-alerts/cpujul2022.html",
            },
         ],
         tags: [
            "disputed",
         ],
         x_legacyV4Record: {
            CVE_data_meta: {
               ASSIGNER: "cve@mitre.org",
               ID: "CVE-2021-41496",
               STATE: "PUBLIC",
            },
            affects: {
               vendor: {
                  vendor_data: [
                     {
                        product: {
                           product_data: [
                              {
                                 product_name: "n/a",
                                 version: {
                                    version_data: [
                                       {
                                          version_value: "n/a",
                                       },
                                    ],
                                 },
                              },
                           ],
                        },
                        vendor_name: "n/a",
                     },
                  ],
               },
            },
            data_format: "MITRE",
            data_type: "CVE",
            data_version: "4.0",
            description: {
               description_data: [
                  {
                     lang: "eng",
                     value: "** DISPUTED ** 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).",
                  },
               ],
            },
            problemtype: {
               problemtype_data: [
                  {
                     description: [
                        {
                           lang: "eng",
                           value: "n/a",
                        },
                     ],
                  },
               ],
            },
            references: {
               reference_data: [
                  {
                     name: "https://github.com/numpy/numpy/issues/19000",
                     refsource: "MISC",
                     url: "https://github.com/numpy/numpy/issues/19000",
                  },
                  {
                     url: "https://www.oracle.com/security-alerts/cpujul2022.html",
                  },
               ],
            },
         },
      },
   },
   cveMetadata: {
      assignerOrgId: "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
      assignerShortName: "mitre",
      cveId: "CVE-2021-41496",
      datePublished: "2021-12-17T19:56:35",
      dateReserved: "2021-09-20T00:00:00",
      dateUpdated: "2024-08-04T03:15:28.678Z",
      state: "PUBLISHED",
   },
   dataType: "CVE_RECORD",
   dataVersion: "5.1",
   "vulnerability-lookup:meta": {
      nvd: "{\"cve\":{\"id\":\"CVE-2021-41496\",\"sourceIdentifier\":\"cve@mitre.org\",\"published\":\"2021-12-17T20:15:08.517\",\"lastModified\":\"2024-11-21T06:26:19.130\",\"vulnStatus\":\"Modified\",\"cveTags\":[{\"sourceIdentifier\":\"cve@mitre.org\",\"tags\":[\"disputed\"]}],\"descriptions\":[{\"lang\":\"en\",\"value\":\"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)\"},{\"lang\":\"es\",\"value\":\"** EN DISPUTA ** Un desbordamiento de búfer en la función array_from_pyobj del archivo fortranobject.c en NumPy versiones anteriores a 1.19, que permite a atacantes realizar un ataque de denegación de servicio al construir cuidadosamente un array con valores negativos. NOTA: El proveedor no está de acuerdo en que esto sea una vulnerabilidad; las dimensiones negativas sólo pueden ser creadas por un usuario ya privilegiado (o internamente)\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":5.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":3.6}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:L/AC:L/Au:N/C:N/I:N/A:P\",\"baseScore\":2.1,\"accessVector\":\"LOCAL\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"LOW\",\"exploitabilityScore\":3.9,\"impactScore\":2.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-120\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:*\",\"versionEndExcluding\":\"1.19.0\",\"matchCriteriaId\":\"341472C4-4DBC-4F3D-B672-5F1C58D5A2C3\"}]}]}],\"references\":[{\"url\":\"https://github.com/numpy/numpy/issues/19000\",\"source\":\"cve@mitre.org\",\"tags\":[\"Exploit\",\"Issue Tracking\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://www.oracle.com/security-alerts/cpujul2022.html\",\"source\":\"cve@mitre.org\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://github.com/numpy/numpy/issues/19000\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Issue Tracking\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://www.oracle.com/security-alerts/cpujul2022.html\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]}]}}",
   },
}


Log in or create an account to share your comment.

Security Advisory comment format.

This schema specifies the format of a comment related to a security advisory.

UUIDv4 of the comment
UUIDv4 of the Vulnerability-Lookup instance
When the comment was created originally
When the comment was last updated
Title of the comment
Description of the comment
The identifier of the vulnerability (CVE ID, GHSA-ID, PYSEC ID, etc.).



Tags
Taxonomy of the tags.




Sightings

Author Source Type Date

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
  • Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
  • Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
  • Not patched: This vulnerability was not successfully patched by the user reporting the sighting.