pysec - pysec-2021-857

pysec-2021-857

Vulnerability from pysec

Published

2021-12-17 20:15

Modified

2021-12-27 21:27

Details

Aliases

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "numpy",
        "purl": "pkg:pypi/numpy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.19.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.9.6",
        "0.9.8",
        "1.0",
        "1.0.3",
        "1.0.4",
        "1.0b1",
        "1.0b4",
        "1.0b5",
        "1.0rc1",
        "1.0rc2",
        "1.0rc3",
        "1.1.1",
        "1.10.0",
        "1.10.1",
        "1.10.2",
        "1.10.3",
        "1.10.4",
        "1.11.0",
        "1.11.1",
        "1.11.2",
        "1.11.3",
        "1.12.0",
        "1.12.1",
        "1.13.0",
        "1.13.0rc1",
        "1.13.0rc2",
        "1.13.1",
        "1.13.3",
        "1.14.0",
        "1.14.0rc1",
        "1.14.1",
        "1.14.2",
        "1.14.3",
        "1.14.4",
        "1.14.5",
        "1.14.6",
        "1.15.0",
        "1.15.0rc1",
        "1.15.0rc2",
        "1.15.1",
        "1.15.2",
        "1.15.3",
        "1.15.4",
        "1.16.0",
        "1.16.0rc1",
        "1.16.0rc2",
        "1.16.1",
        "1.16.2",
        "1.16.3",
        "1.16.4",
        "1.16.5",
        "1.16.6",
        "1.17.0",
        "1.17.0rc1",
        "1.17.0rc2",
        "1.17.1",
        "1.17.2",
        "1.17.3",
        "1.17.4",
        "1.17.5",
        "1.18.0",
        "1.18.0rc1",
        "1.18.1",
        "1.18.2",
        "1.18.3",
        "1.18.4",
        "1.18.5",
        "1.19.0rc1",
        "1.19.0rc2",
        "1.2.0",
        "1.2.1",
        "1.3.0",
        "1.4.0",
        "1.4.1",
        "1.5.0",
        "1.5.1",
        "1.6.0",
        "1.6.1",
        "1.6.2",
        "1.7.0",
        "1.7.1",
        "1.7.2",
        "1.8.0",
        "1.8.1",
        "1.8.2",
        "1.9.0",
        "1.9.1",
        "1.9.2",
        "1.9.3"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41496",
    "GHSA-f7c7-j99h-c22f"
  ],
  "details": "Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values.",
  "id": "PYSEC-2021-857",
  "modified": "2021-12-27T21:27:46.586839Z",
  "published": "2021-12-17T20:15:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://github.com/numpy/numpy/issues/19000"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-f7c7-j99h-c22f"
    }
  ]
}

ghsa-f7c7-j99h-c22f

Vulnerability from github

Published

2022-02-08 00:00

Modified

2022-06-21 20:09

Severity ?

5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Summary

Buffer Copy without Checking Size of Input in NumPy

Details

Show details on source website

JSON

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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 1.18.5"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "numpy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.19"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41496"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-120"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-06-21T20:09:56Z",
    "nvd_published_at": "2021-12-17T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy \u003c 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values.",
  "id": "GHSA-f7c7-j99h-c22f",
  "modified": "2022-06-21T20:09:56Z",
  "published": "2022-02-08T00:00:56Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41496"
    },
    {
      "type": "WEB",
      "url": "https://github.com/numpy/numpy/issues/19000"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/numpy/numpy"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Buffer Copy without Checking Size of Input in NumPy"
}

cve-2021-41496

Vulnerability from cvelistv5

Published

2021-12-17 19:56

Modified

2024-08-04 03:15

Severity ?

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

▼	URL	Tags
	https://github.com/numpy/numpy/issues/19000	x_refsource_MISC
	https://www.oracle.com/security-alerts/cpujul2022.html

Impacted products

Vendor

Product

Version

▼

n/a

Version: n/a

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-04T03:15:28.678Z",
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          "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 \u003c 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": [
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            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2022-02-07T18:10:33",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
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          ],
          "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": [
                    {
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  "cveMetadata": {
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    "datePublished": "2021-12-17T19:56:35",
    "dateReserved": "2021-09-20T00:00:00",
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  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

Action not permitted

pysec-2021-857

Vulnerability from pysec

ghsa-f7c7-j99h-c22f

Vulnerability from github

cve-2021-41496

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature