Vulnerability-Lookup

GHSA-G752-V9RV-66CG

Vulnerability from github – Published: 2022-05-24 16:48 – Updated: 2023-02-27 18:32

Details

Out-of-bounds accesses in the functions pi_next_lrcp, pi_next_rlcp, pi_next_rpcl, pi_next_pcrl, pi_next_rpcl, and pi_next_cprl in openmj2/pi.c in OpenJPEG through 2.3.0 allow remote attackers to cause a denial of service (application crash).

Severity

6.5 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2018-20846"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-06-26T18:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Out-of-bounds accesses in the functions pi_next_lrcp, pi_next_rlcp, pi_next_rpcl, pi_next_pcrl, pi_next_rpcl, and pi_next_cprl in openmj2/pi.c in OpenJPEG through 2.3.0 allow remote attackers to cause a denial of service (application crash).",
  "id": "GHSA-g752-v9rv-66cg",
  "modified": "2023-02-27T18:32:03Z",
  "published": "2022-05-24T16:48:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-20846"
    },
    {
      "type": "WEB",
      "url": "https://github.com/uclouvain/openjpeg/pull/1168/commits/c277159986c80142180fbe5efb256bbf3bdf3edc"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/108921"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2018-20846 (GCVE-0-2018-20846)

Vulnerability from cvelistv5 – Published: 2019-06-26 17:07 – Updated: 2024-08-05 12:12

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2331 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/uclouvain/openjpeg/pull/1168/c…	x_refsource_MISC
http://www.securityfocus.com/bid/108921	vdb-entryx_refsource_BID

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JSON

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T12:12:28.554Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/uclouvain/openjpeg/pull/1168/commits/c277159986c80142180fbe5efb256bbf3bdf3edc"
          },
          {
            "name": "108921",
            "tags": [
              "vdb-entry",
              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/108921"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Out-of-bounds accesses in the functions pi_next_lrcp, pi_next_rlcp, pi_next_rpcl, pi_next_pcrl, pi_next_rpcl, and pi_next_cprl in openmj2/pi.c in OpenJPEG through 2.3.0 allow remote attackers to cause a denial of service (application crash)."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2019-06-28T14:06:05.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/uclouvain/openjpeg/pull/1168/commits/c277159986c80142180fbe5efb256bbf3bdf3edc"
        },
        {
          "name": "108921",
          "tags": [
            "vdb-entry",
            "x_refsource_BID"
          ],
          "url": "http://www.securityfocus.com/bid/108921"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2018-20846",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "Out-of-bounds accesses in the functions pi_next_lrcp, pi_next_rlcp, pi_next_rpcl, pi_next_pcrl, pi_next_rpcl, and pi_next_cprl in openmj2/pi.c in OpenJPEG through 2.3.0 allow remote attackers to cause a denial of service (application crash)."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/uclouvain/openjpeg/pull/1168/commits/c277159986c80142180fbe5efb256bbf3bdf3edc",
              "refsource": "MISC",
              "url": "https://github.com/uclouvain/openjpeg/pull/1168/commits/c277159986c80142180fbe5efb256bbf3bdf3edc"
            },
            {
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              "refsource": "BID",
              "url": "http://www.securityfocus.com/bid/108921"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2018-20846",
    "datePublished": "2019-06-26T17:07:35.000Z",
    "dateReserved": "2019-06-26T00:00:00.000Z",
    "dateUpdated": "2024-08-05T12:12:28.554Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.

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