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CVE-2024-31029 (GCVE-0-2024-31029)

Vulnerability from cvelistv5 – Published: 2024-10-22 00:00 – Updated: 2024-10-23 17:09
VLAI
Summary
An issue in the server_handle_regular function of the test_coap_server.c file within the FreeCoAP project allows remote attackers to cause a Denial of Service through specially crafted packets.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-23 16:54 UTC
CWE
Impacted products
Vendor Product Version CPE status
keithcullen freecoap Affected: 0.7
    cpe:2.3:a:keithcullen:freecoap:0.7:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

{
  "containers": {
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              "cpe:2.3:a:keithcullen:freecoap:0.7:*:*:*:*:*:*:*"
            ],
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            "vendor": "keithcullen",
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              }
            ]
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        ],
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              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 8.2,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "LOW",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
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              "userInteraction": "NONE",
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              "version": "3.1"
            }
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                "options": [
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                  },
                  {
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                  },
                  {
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                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-10-23T16:54:42.642444Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
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                "description": "CWE-125 Out-of-bounds Read",
                "lang": "en",
                "type": "CWE"
              }
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          "dateUpdated": "2024-10-23T17:09:56.700Z",
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        },
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      }
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        }
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      },
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          "url": "https://github.com/keith-cullen/FreeCoAP/issues/36"
        },
        {
          "url": "https://gist.github.com/dqp10515/41ec400b7eecfcae7578d505598ab85f"
        }
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  "cveMetadata": {
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    "assignerShortName": "mitre",
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    "datePublished": "2024-10-22T00:00:00.000Z",
    "dateReserved": "2024-03-27T00:00:00.000Z",
    "dateUpdated": "2024-10-23T17:09:56.700Z",
    "state": "PUBLISHED"
  },
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  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
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      "percentile": "0.44947"
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      "id": "CVE-2024-31029",
      "lastModified": "2024-10-23T17:35:04.327",
      "metrics": "{\"cvssMetricV31\": [{\"source\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"type\": \"Secondary\", \"cvssData\": {\"version\": \"3.1\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H\", \"baseScore\": 8.2, \"baseSeverity\": \"HIGH\", \"attackVector\": \"NETWORK\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"NONE\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"LOW\", \"integrityImpact\": \"NONE\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 3.9, \"impactScore\": 4.2}]}",
      "published": "2024-10-22T22:15:04.313",
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      "sourceIdentifier": "cve@mitre.org",
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    },
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    "redhat_vex": {
      "current_release_date": "2026-03-27T10:04:29+00:00",
      "cve": "CVE-2024-31029",
      "id": "CVE-2024-31029",
      "initial_release_date": "2024-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "CVE-2024-31029",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-31029.json",
      "version": "3"
    },
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}



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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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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.


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