FKIE_CVE-2023-25399

Vulnerability from fkie_nvd - Published: 2023-07-05 17:15 - Updated: 2026-06-17 05:41
Severity
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Summary
A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function. Note: This is disputed as a bug and not a vulnerability. SciPy is not designed to be exposed to untrusted users or data directly.
References
cve@mitre.orghttp://www.square16.org/achievement/cve-2023-25399/Third Party Advisory
cve@mitre.orghttps://github.com/scipy/scipy/issues/16235Exploit, Issue Tracking, Patch, Vendor Advisory
cve@mitre.orghttps://github.com/scipy/scipy/issues/16235#issuecomment-1625361328
cve@mitre.orghttps://github.com/scipy/scipy/pull/16397Patch
af854a3a-2127-422b-91ae-364da2661108http://www.square16.org/achievement/cve-2023-25399/Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/scipy/scipy/issues/16235Exploit, Issue Tracking, Patch, Vendor Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/scipy/scipy/issues/16235#issuecomment-1625361328
af854a3a-2127-422b-91ae-364da2661108https://github.com/scipy/scipy/pull/16397Patch
Impacted products
Vendor Product Version
scipy scipy *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    },
    {
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:scipy:scipy:-:*:*:*:*:*:*:*"
          ],
          "defaultStatus": "unknown",
          "product": "scipy",
          "vendor": "scipy",
          "versions": [
            {
              "lessThan": "1.10.0",
              "status": "affected",
              "version": "0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:scipy:scipy:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "9DF61E05-B983-4CF9-AF1E-4C498AFF89CA",
              "versionEndExcluding": "1.10.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [
    {
      "sourceIdentifier": "cve@mitre.org",
      "tags": [
        "disputed"
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function. Note: This is disputed as a bug and not a vulnerability. SciPy is not designed to be exposed to untrusted users or data directly."
    }
  ],
  "id": "CVE-2023-25399",
  "lastModified": "2026-06-17T05:41:10.900",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "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"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      },
      {
        "cvssData": {
          "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"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2023-25399",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2024-05-14T19:33:37.465319Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2023-07-05T17:15:09.320",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "http://www.square16.org/achievement/cve-2023-25399/"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Issue Tracking",
        "Patch",
        "Vendor Advisory"
      ],
      "url": "https://github.com/scipy/scipy/issues/16235"
    },
    {
      "source": "cve@mitre.org",
      "url": "https://github.com/scipy/scipy/issues/16235#issuecomment-1625361328"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/scipy/scipy/pull/16397"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "http://www.square16.org/achievement/cve-2023-25399/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Issue Tracking",
        "Patch",
        "Vendor Advisory"
      ],
      "url": "https://github.com/scipy/scipy/issues/16235"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "url": "https://github.com/scipy/scipy/issues/16235#issuecomment-1625361328"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/scipy/scipy/pull/16397"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-Other"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-401"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON

Loading timeline…




    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.