Vulnerability-Lookup

GHSA-H22X-HM8G-RXPG

Vulnerability from github – Published: 2022-05-17 00:29 – Updated: 2022-07-01 20:36

Summary

Improper Restriction of XML External Entity Reference in Apache OpenNLP

Details

When loading models or dictionaries that contain XML it is possible to perform an XXE attack, since Apache OpenNLP is a library, this only affects applications that load models or dictionaries from untrusted sources. The versions 1.5.0 to 1.5.3, 1.6.0, 1.7.0 to 1.7.2, 1.8.0 to 1.8.1 of Apache OpenNLP are affected.

Severity

9.8 (Critical)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Show details on source website

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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 1.8.1"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "org.apache.opennlp:opennlp-tools"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.5.0"
            },
            {
              "fixed": "1.8.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-12620"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-611"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-07-01T20:36:40Z",
    "nvd_published_at": "2017-10-03T01:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "When loading models or dictionaries that contain XML it is possible to perform an XXE attack, since Apache OpenNLP is a library, this only affects applications that load models or dictionaries from untrusted sources. The versions 1.5.0 to 1.5.3, 1.6.0, 1.7.0 to 1.7.2, 1.8.0 to 1.8.1 of Apache OpenNLP are affected.",
  "id": "GHSA-h22x-hm8g-rxpg",
  "modified": "2022-07-01T20:36:40Z",
  "published": "2022-05-17T00:29:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-12620"
    },
    {
      "type": "WEB",
      "url": "http://opennlp.apache.org/news/cve-2017-12620.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Improper Restriction of XML External Entity Reference in Apache OpenNLP"
}

CVE-2017-12620 (GCVE-0-2017-12620)

Vulnerability from cvelistv5 – Published: 2017-10-02 14:00 – Updated: 2024-09-16 19:15

Summary

Severity

No CVSS data available.

CWE

Information Disclosure

Assigner

apache CNA under the mitre root

CNA scorecard B 76/100 over 1088 records in the last 180 days details

References

1 reference

URL	Tags
http://opennlp.apache.org/news/cve-2017-12620.html	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache OpenNLP	Affected: 1.5.0 to 1.5.3 Affected: 1.6.0 Affected: 1.7.0 to 1.7.2 Affected: 1.8.0 to 1.8.1

Date Public

2017-10-02 00:00

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T18:43:56.376Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "http://opennlp.apache.org/news/cve-2017-12620.html"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Apache OpenNLP",
          "vendor": "Apache Software Foundation",
          "versions": [
            {
              "status": "affected",
              "version": "1.5.0 to 1.5.3"
            },
            {
              "status": "affected",
              "version": "1.6.0"
            },
            {
              "status": "affected",
              "version": "1.7.0 to 1.7.2"
            },
            {
              "status": "affected",
              "version": "1.8.0 to 1.8.1"
            }
          ]
        }
      ],
      "datePublic": "2017-10-02T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "When loading models or dictionaries that contain XML it is possible to perform an XXE attack, since Apache OpenNLP is a library, this only affects applications that load models or dictionaries from untrusted sources. The versions 1.5.0 to 1.5.3, 1.6.0, 1.7.0 to 1.7.2, 1.8.0 to 1.8.1 of Apache OpenNLP are affected."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "Information Disclosure",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2017-10-02T13:57:02.000Z",
        "orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
        "shortName": "apache"
      },
      "references": [
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "http://opennlp.apache.org/news/cve-2017-12620.html"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "security@apache.org",
          "DATE_PUBLIC": "2017-10-02T00:00:00",
          "ID": "CVE-2017-12620",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "Apache OpenNLP",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "1.5.0 to 1.5.3"
                          },
                          {
                            "version_value": "1.6.0"
                          },
                          {
                            "version_value": "1.7.0 to 1.7.2"
                          },
                          {
                            "version_value": "1.8.0 to 1.8.1"
                          }
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                      }
                    }
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                },
                "vendor_name": "Apache Software Foundation"
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        "description": {
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            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
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                {
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                  "value": "Information Disclosure"
                }
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        },
        "references": {
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              "refsource": "CONFIRM",
              "url": "http://opennlp.apache.org/news/cve-2017-12620.html"
            }
          ]
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    }
  },
  "cveMetadata": {
    "assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
    "assignerShortName": "apache",
    "cveId": "CVE-2017-12620",
    "datePublished": "2017-10-02T14:00:00.000Z",
    "dateReserved": "2017-08-07T00:00:00.000Z",
    "dateUpdated": "2024-09-16T19:15:51.072Z",
    "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.
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