CVE-2021-29510
Vulnerability from cvelistv5
Published
2021-05-13 18:55
Modified
2024-08-03 22:11
Severity ?
3.3 (Low) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
Summary
Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `'infinity'`, `'inf'` or `float('inf')` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.
References
security-advisories@github.comhttps://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvhMitigation, Patch, Third Party Advisory
security-advisories@github.comhttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/
security-advisories@github.comhttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/
security-advisories@github.comhttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/
af854a3a-2127-422b-91ae-364da2661108https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvhMitigation, Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/
Impacted products
Vendor Product Version
samuelcolvin pydantic Version: >= 1.8.0, < 1.8.2
Version: >= 1.7.0, < 1.7.4
Version: < 1.6.2
 Create a notification for this product.
Show details on NVD website

To clipboard 

{
   containers: {
      adp: [
         {
            providerMetadata: {
               dateUpdated: "2024-08-03T22:11:05.442Z",
               orgId: "af854a3a-2127-422b-91ae-364da2661108",
               shortName: "CVE",
            },
            references: [
               {
                  tags: [
                     "x_refsource_CONFIRM",
                     "x_transferred",
                  ],
                  url: "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh",
               },
               {
                  tags: [
                     "x_refsource_MISC",
                     "x_transferred",
                  ],
                  url: "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468",
               },
               {
                  name: "FEDORA-2021-f8bb3ba3ec",
                  tags: [
                     "vendor-advisory",
                     "x_refsource_FEDORA",
                     "x_transferred",
                  ],
                  url: "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/",
               },
               {
                  name: "FEDORA-2021-4d3de3183f",
                  tags: [
                     "vendor-advisory",
                     "x_refsource_FEDORA",
                     "x_transferred",
                  ],
                  url: "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/",
               },
               {
                  name: "FEDORA-2021-e7fabd81fb",
                  tags: [
                     "vendor-advisory",
                     "x_refsource_FEDORA",
                     "x_transferred",
                  ],
                  url: "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/",
               },
            ],
            title: "CVE Program Container",
         },
      ],
      cna: {
         affected: [
            {
               product: "pydantic",
               vendor: "samuelcolvin",
               versions: [
                  {
                     status: "affected",
                     version: ">= 1.8.0, < 1.8.2",
                  },
                  {
                     status: "affected",
                     version: ">= 1.7.0, < 1.7.4",
                  },
                  {
                     status: "affected",
                     version: "< 1.6.2",
                  },
               ],
            },
         ],
         descriptions: [
            {
               lang: "en",
               value: "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `'infinity'`, `'inf'` or `float('inf')` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.",
            },
         ],
         metrics: [
            {
               cvssV3_1: {
                  attackComplexity: "LOW",
                  attackVector: "LOCAL",
                  availabilityImpact: "LOW",
                  baseScore: 3.3,
                  baseSeverity: "LOW",
                  confidentialityImpact: "NONE",
                  integrityImpact: "NONE",
                  privilegesRequired: "NONE",
                  scope: "UNCHANGED",
                  userInteraction: "REQUIRED",
                  vectorString: "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
                  version: "3.1",
               },
            },
         ],
         problemTypes: [
            {
               descriptions: [
                  {
                     cweId: "CWE-835",
                     description: "CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop')",
                     lang: "en",
                     type: "CWE",
                  },
               ],
            },
         ],
         providerMetadata: {
            dateUpdated: "2021-05-23T02:06:14",
            orgId: "a0819718-46f1-4df5-94e2-005712e83aaa",
            shortName: "GitHub_M",
         },
         references: [
            {
               tags: [
                  "x_refsource_CONFIRM",
               ],
               url: "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh",
            },
            {
               tags: [
                  "x_refsource_MISC",
               ],
               url: "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468",
            },
            {
               name: "FEDORA-2021-f8bb3ba3ec",
               tags: [
                  "vendor-advisory",
                  "x_refsource_FEDORA",
               ],
               url: "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/",
            },
            {
               name: "FEDORA-2021-4d3de3183f",
               tags: [
                  "vendor-advisory",
                  "x_refsource_FEDORA",
               ],
               url: "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/",
            },
            {
               name: "FEDORA-2021-e7fabd81fb",
               tags: [
                  "vendor-advisory",
                  "x_refsource_FEDORA",
               ],
               url: "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/",
            },
         ],
         source: {
            advisory: "GHSA-5jqp-qgf6-3pvh",
            discovery: "UNKNOWN",
         },
         title: "Use of \"infinity\" as an input to datetime and date fields causes infinite loop in pydantic",
         x_legacyV4Record: {
            CVE_data_meta: {
               ASSIGNER: "security-advisories@github.com",
               ID: "CVE-2021-29510",
               STATE: "PUBLIC",
               TITLE: "Use of \"infinity\" as an input to datetime and date fields causes infinite loop in pydantic",
            },
            affects: {
               vendor: {
                  vendor_data: [
                     {
                        product: {
                           product_data: [
                              {
                                 product_name: "pydantic",
                                 version: {
                                    version_data: [
                                       {
                                          version_value: ">= 1.8.0, < 1.8.2",
                                       },
                                       {
                                          version_value: ">= 1.7.0, < 1.7.4",
                                       },
                                       {
                                          version_value: "< 1.6.2",
                                       },
                                    ],
                                 },
                              },
                           ],
                        },
                        vendor_name: "samuelcolvin",
                     },
                  ],
               },
            },
            data_format: "MITRE",
            data_type: "CVE",
            data_version: "4.0",
            description: {
               description_data: [
                  {
                     lang: "eng",
                     value: "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `'infinity'`, `'inf'` or `float('inf')` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.",
                  },
               ],
            },
            impact: {
               cvss: {
                  attackComplexity: "LOW",
                  attackVector: "LOCAL",
                  availabilityImpact: "LOW",
                  baseScore: 3.3,
                  baseSeverity: "LOW",
                  confidentialityImpact: "NONE",
                  integrityImpact: "NONE",
                  privilegesRequired: "NONE",
                  scope: "UNCHANGED",
                  userInteraction: "REQUIRED",
                  vectorString: "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
                  version: "3.1",
               },
            },
            problemtype: {
               problemtype_data: [
                  {
                     description: [
                        {
                           lang: "eng",
                           value: "CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop')",
                        },
                     ],
                  },
               ],
            },
            references: {
               reference_data: [
                  {
                     name: "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh",
                     refsource: "CONFIRM",
                     url: "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh",
                  },
                  {
                     name: "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468",
                     refsource: "MISC",
                     url: "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468",
                  },
                  {
                     name: "FEDORA-2021-f8bb3ba3ec",
                     refsource: "FEDORA",
                     url: "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/",
                  },
                  {
                     name: "FEDORA-2021-4d3de3183f",
                     refsource: "FEDORA",
                     url: "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/",
                  },
                  {
                     name: "FEDORA-2021-e7fabd81fb",
                     refsource: "FEDORA",
                     url: "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/",
                  },
               ],
            },
            source: {
               advisory: "GHSA-5jqp-qgf6-3pvh",
               discovery: "UNKNOWN",
            },
         },
      },
   },
   cveMetadata: {
      assignerOrgId: "a0819718-46f1-4df5-94e2-005712e83aaa",
      assignerShortName: "GitHub_M",
      cveId: "CVE-2021-29510",
      datePublished: "2021-05-13T18:55:11",
      dateReserved: "2021-03-30T00:00:00",
      dateUpdated: "2024-08-03T22:11:05.442Z",
      state: "PUBLISHED",
   },
   dataType: "CVE_RECORD",
   dataVersion: "5.1",
   "vulnerability-lookup:meta": {
      nvd: "{\"cve\":{\"id\":\"CVE-2021-29510\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2021-05-13T19:15:08.023\",\"lastModified\":\"2024-11-21T06:01:16.707\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `'infinity'`, `'inf'` or `float('inf')` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.\"},{\"lang\":\"es\",\"value\":\"Pydantic es un sistema de validación de datos y gestión de configuraciones que utiliza las sugerencias de tipo de Python. En las versiones afectadas, pasar `'infinity'`, `'inf'` o `float('inf')` (o sus negativos) a los campos `datetime` o `date` hace que la validación se ejecute eternamente con un uso del 100% de la CPU (en una CPU). Pydantic ha sido parcheado con correcciones disponibles en las siguientes versiones: v1.8.2, v1.7.4, v1.6.2. Todas estas versiones están disponibles en pypi(https://pypi.org/project/pydantic/#history), y estarán disponibles en conda-forge(https://anaconda.org/conda-forge/pydantic) pronto. Consulta el registro de cambios(https://pydantic-docs.helpmanual.io/) para más detalles. Si no puedes actualizar absolutamente, puedes evitar este riesgo usando un validador(https://pydantic-docs.helpmanual.io/usage/validators/) para capturar estos valores. Esta no es una solución ideal (en particular, necesitarás una función ligeramente diferente para las fechas), en lugar de un hack como este deberías actualizar pydantic. Si no estás usando v1.8.x, v1.7.x o v1.6.x y no puedes actualizar a una versión fija de pydantic, por favor crea un issue en https://github.com/samuelcolvin/pydantic/issues solicitando un back-port, y nos esforzaremos en liberar un parche para versiones anteriores de pydantic\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L\",\"baseScore\":3.3,\"baseSeverity\":\"LOW\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"LOW\"},\"exploitabilityScore\":1.8,\"impactScore\":1.4},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:N/AC:L/Au:N/C:N/I:N/A:P\",\"baseScore\":5.0,\"accessVector\":\"NETWORK\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":10.0,\"impactScore\":2.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-835\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:pydantic_project:pydantic:*:*:*:*:*:*:*:*\",\"versionEndExcluding\":\"1.6.2\",\"matchCriteriaId\":\"5B14C2A2-9DE3-4E17-88DF-03489F3314CE\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:pydantic_project:pydantic:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"1.7\",\"versionEndExcluding\":\"1.7.4\",\"matchCriteriaId\":\"1D04FDD9-F777-45DD-A081-A7988FB7A185\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:pydantic_project:pydantic:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"1.8\",\"versionEndExcluding\":\"1.8.2\",\"matchCriteriaId\":\"9EDF20F8-2F3F-46D6-943F-115BD3EBD260\"}]}]},{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:o:fedoraproject:fedora:33:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"E460AA51-FCDA-46B9-AE97-E6676AA5E194\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:o:fedoraproject:fedora:34:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"A930E247-0B43-43CB-98FF-6CE7B8189835\"}]}]}],\"references\":[{\"url\":\"https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Mitigation\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Mitigation\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\"},{\"url\":\"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\"},{\"url\":\"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\"}]}}",
   },
}


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.