CVE-2021-3672 (GCVE-0-2021-3672)

Vulnerability from cvelistv5 – Published: 2021-11-23 00:00 – Updated: 2024-10-15 17:14
VLAI
Summary
A flaw was found in c-ares library, where a missing input validation check of host names returned by DNS (Domain Name Servers) can lead to output of wrong hostnames which might potentially lead to Domain Hijacking. The highest threat from this vulnerability is to confidentiality and integrity as well as system availability.
Severity
No CVSS data available.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-15 17:09 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version
n/a c-ares Affected: c-ares 1.17.2
Show details on NVD website
To clipboard 

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      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-3672.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "providerMetadata": {
              "dateUpdated": "2024-08-03T17:01:07.975Z",
              "orgId": "af854a3a-2127-422b-91ae-364da2661108",
              "shortName": "CVE"
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                "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1988342"
              },
              {
                "tags": [
                  "x_transferred"
                ],
                "url": "https://c-ares.haxx.se/adv_20210810.html"
              },
              {
                "tags": [
                  "x_transferred"
                ],
                "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-389290.pdf"
              },
              {
                "tags": [
                  "x_transferred"
                ],
                "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
              },
              {
                "name": "GLSA-202401-02",
                "tags": [
                  "vendor-advisory",
                  "x_transferred"
                ],
                "url": "https://security.gentoo.org/glsa/202401-02"
              }
            ],
            "title": "CVE Program Container"
          },
          {
            "metrics": [
              {
                "other": {
                  "content": {
                    "id": "CVE-2021-3672",
                    "options": [
                      {
                        "Exploitation": "none"
                      },
                      {
                        "Automatable": "no"
                      },
                      {
                        "Technical Impact": "partial"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2024-10-15T17:09:33.511285Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2024-10-15T17:11:07.533Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
          }
        ],
        "cna": {
          "affected": [
            {
              "product": "c-ares",
              "vendor": "n/a",
              "versions": [
                {
                  "status": "affected",
                  "version": "c-ares 1.17.2"
                }
              ]
            }
          ],
          "descriptions": [
            {
              "lang": "en",
              "value": "A flaw was found in c-ares library, where a missing input validation check of host names returned by DNS (Domain Name Servers) can lead to output of wrong hostnames which might potentially lead to Domain Hijacking. The highest threat from this vulnerability is to confidentiality and integrity as well as system availability."
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-79",
                  "description": "CWE-79",
                  "lang": "en",
                  "type": "CWE"
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              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2024-01-05T10:06:20.709Z",
            "orgId": "53f830b8-0a3f-465b-8143-3b8a9948e749",
            "shortName": "redhat"
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            },
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            },
            {
              "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-389290.pdf"
            },
            {
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            },
            {
              "name": "GLSA-202401-02",
              "tags": [
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      "cveMetadata": {
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        "assignerShortName": "redhat",
        "cveId": "CVE-2021-3672",
        "datePublished": "2021-11-23T00:00:00.000Z",
        "dateReserved": "2021-07-30T00:00:00.000Z",
        "dateUpdated": "2024-10-15T17:14:27.220Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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.



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.