Vulnerability-Lookup

GHSA-FPFF-384J-VXQ7

Vulnerability from github – Published: 2019-12-02 18:05 – Updated: 2021-08-19 15:10

Summary

Data leakage via SQL Injection in Pimcore

Details

pimcore/pimcore before 6.3.0 is vulnerable to SQL Injection. An attacker with limited privileges (classes permission) can achieve a SQL injection that can lead in data leakage. The vulnerability can be exploited via 'id', 'storeId', 'pageSize' and 'tables' parameters, using a payload for trigger a time based or error based sql injection.

Severity

6.5 (Medium)


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

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "pimcore/pimcore"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "6.3.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2019-10763"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2019-11-27T02:55:07Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "pimcore/pimcore before 6.3.0 is vulnerable to SQL Injection. An attacker with limited privileges (classes permission) can achieve a SQL injection that can lead in data leakage. The vulnerability can be exploited via \u0027id\u0027, \u0027storeId\u0027, \u0027pageSize\u0027 and \u0027tables\u0027 parameters, using a payload for trigger a time based or error based sql injection.",
  "id": "GHSA-fpff-384j-vxq7",
  "modified": "2021-08-19T15:10:08Z",
  "published": "2019-12-02T18:05:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10763"
    },
    {
      "type": "WEB",
      "url": "https://blog.certimetergroup.com/it/articolo/security/sql_injection_in_pimcore_6.2.3"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-PHP-PIMCOREPIMCORE-480391"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Data leakage via SQL Injection in Pimcore"
}

CVE-2019-10763 (GCVE-0-2019-10763)

Vulnerability from cvelistv5 – Published: 2019-11-18 19:55 – Updated: 2024-08-04 22:32

Summary

Severity

No CVSS data available.

CWE

SQL Injection

Assigner

snyk CNA under the mitre root

CNA scorecard C 60/100 over 17 records in the last 180 days details

References

2 references

URL	Tags
https://snyk.io/vuln/SNYK-PHP-PIMCOREPIMCORE-480391	x_refsource_MISC
https://blog.certimetergroup.com/it/articolo/secu…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	pimcore/pimcore	Affected: All versions prior to version 3.6.0

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{
  "containers": {
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T22:32:01.595Z",
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        "references": [
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            "tags": [
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              "x_transferred"
            ],
            "url": "https://snyk.io/vuln/SNYK-PHP-PIMCOREPIMCORE-480391"
          },
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            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://blog.certimetergroup.com/it/articolo/security/sql_injection_in_pimcore_6.2.3"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "pimcore/pimcore",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "All versions prior to version 3.6.0"
            }
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      ],
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          "lang": "en",
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        }
      ],
      "problemTypes": [
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              "type": "text"
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        "orgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
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      },
      "references": [
        {
          "tags": [
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          "url": "https://snyk.io/vuln/SNYK-PHP-PIMCOREPIMCORE-480391"
        },
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          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://blog.certimetergroup.com/it/articolo/security/sql_injection_in_pimcore_6.2.3"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "report@snyk.io",
          "ID": "CVE-2019-10763",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
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                      "product_name": "pimcore/pimcore",
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            }
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        "problemtype": {
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            },
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  "cveMetadata": {
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    "assignerShortName": "snyk",
    "cveId": "CVE-2019-10763",
    "datePublished": "2019-11-18T19:55:07.000Z",
    "dateReserved": "2019-04-03T00:00:00.000Z",
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}

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.

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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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