pysec - pysec-2017-1

pysec-2017-1

Vulnerability from pysec

Published

2017-08-15 16:29

Modified

2021-06-29 22:52

Details

The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.

Impacted products

Name	purl
numpy	pkg:pypi/numpy

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "numpy",
        "purl": "pkg:pypi/numpy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.13.3"
            }
          ],
          "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",
        "1.2.0",
        "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-2017-12852",
    "GHSA-frgw-fgh6-9g52"
  ],
  "details": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.",
  "id": "PYSEC-2017-1",
  "modified": "2021-06-29T22:52:17.919949Z",
  "published": "2017-08-15T16:29:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292"
    },
    {
      "type": "WEB",
      "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-frgw-fgh6-9g52"
    }
  ]
}

ghsa-frgw-fgh6-9g52

Vulnerability from github

Published

2022-05-13 01:42

Modified

2022-06-17 21:05

Severity ?

7.5 (High) - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Summary

Numpy missing input validation

Details

The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "numpy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.13.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-12852"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-835"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-06-17T21:05:33Z",
    "nvd_published_at": "2017-08-15T16:29:00Z",
    "severity": "HIGH"
  },
  "details": "The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.",
  "id": "GHSA-frgw-fgh6-9g52",
  "modified": "2022-06-17T21:05:33Z",
  "published": "2022-05-13T01:42:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-12852"
    },
    {
      "type": "WEB",
      "url": "https://github.com/numpy/numpy/issues/9560#issuecomment-322395292"
    },
    {
      "type": "WEB",
      "url": "https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-frgw-fgh6-9g52"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/numpy/numpy"
    },
    {
      "type": "WEB",
      "url": "https://github.com/numpy/numpy/releases/tag/v1.13.3"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2017-1.yaml"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Numpy missing input validation"
}

CVE-2017-12852 (GCVE-0-2017-12852)

Vulnerability from cvelistv5

Published

2017-08-15 16:00

Modified

2024-08-05 18:51

Severity ?

CWE

Summary

The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.

References

►

URL

Tags

	https://github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852	x_refsource_MISC
	https://github.com/numpy/numpy/issues/9560#issuecomment-322395292	x_refsource_CONFIRM

Impacted products

	Vendor	Product	Version
	n/a	n/a	Version: n/a

Show details on NVD website

JSON

To clipboard

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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-2017-1

Vulnerability from pysec

ghsa-frgw-fgh6-9g52

Vulnerability from github

CVE-2017-12852 (GCVE-0-2017-12852)

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature