OESA-2025-2749 (CVE-2025-58187)

Vulnerability from osv_openeuler – Published: 2025-11-28 11:09 – Updated: 2026-08-06 11:09 – Source website
VLAI
Summary
golang security update
Details

.

Security Fix(es):

Due to the design of the name constraint checking algorithm, the processing time of some inputs scale non-linearly with respect to the size of the certificate. This affects programs which validate arbitrary certificate chains.(CVE-2025-58187)

The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.(CVE-2025-61723)


{
  "affected": [
    {
      "ecosystem_specific": {
        "aarch64": [
          "golang-1.17.3-44.oe2203sp3.aarch64.rpm"
        ],
        "noarch": [
          "golang-devel-1.17.3-44.oe2203sp3.noarch.rpm",
          "golang-help-1.17.3-44.oe2203sp3.noarch.rpm"
        ],
        "src": [
          "golang-1.17.3-44.oe2203sp3.src.rpm"
        ],
        "x86_64": [
          "golang-1.17.3-44.oe2203sp3.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:22.03-LTS-SP3",
        "name": "golang",
        "purl": "pkg:rpm/openEuler/golang\u0026distro=openEuler-22.03-LTS-SP3"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.17.3-44.oe2203sp3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "severity": "High"
  },
  "details": ".\r\n\r\nSecurity Fix(es):\n\nDue to the design of the name constraint checking algorithm, the processing time of some inputs scale non-linearly with respect to the size of the certificate. This affects programs which validate arbitrary certificate chains.(CVE-2025-58187)\n\nThe processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.(CVE-2025-61723)",
  "id": "OESA-2025-2749",
  "modified": "2026-08-06T11:09:52Z",
  "published": "2025-11-28T11:09:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2025-2749"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-58187"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-61723"
    }
  ],
  "schema_version": "1.7.2",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "golang security update",
  "upstream": [
    "CVE-2025-58187",
    "CVE-2025-61723"
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…