Vulnerability-Lookup

FKIE_CVE-2022-27426

Vulnerability from fkie_nvd - Published: 2022-04-15 20:15 - Updated: 2026-06-17 04:37

Severity

8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Summary

A Server-Side Request Forgery (SSRF) in Chamilo LMS v1.11.13 allows attackers to enumerate the internal network and execute arbitrary system commands via a crafted Phar file.

References

	URL	Tags
	cve@mitre.org	https://support.chamilo.org/projects/1/wiki/Security_issues	Patch, Vendor Advisory
	af854a3a-2127-422b-91ae-364da2661108	https://support.chamilo.org/projects/1/wiki/Security_issues	Patch, Vendor Advisory

Impacted products

	Vendor	Product	Version
	chamilo	chamilo_lms	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:chamilo:chamilo_lms:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "99B19DF3-CF09-4E80-A1E6-9A66F9424B16",
              "versionEndIncluding": "1.11.16",
              "versionStartIncluding": "1.11.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A Server-Side Request Forgery (SSRF) in Chamilo LMS v1.11.13 allows attackers to enumerate the internal network and execute arbitrary system commands via a crafted Phar file."
    },
    {
      "lang": "es",
      "value": "Una vulnerabilidad de tipo Server-Side Request Forgery (SSRF) en Chamilo LMS versi\u00f3n v1.11.13, permite a atacantes enumerar la red interna y ejecutar comandos arbitrarios del sistema por medio de un archivo Phar dise\u00f1ado"
    }
  ],
  "id": "CVE-2022-27426",
  "lastModified": "2026-06-17T04:37:01.257",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "SINGLE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 6.5,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 8.0,
        "impactScore": 6.4,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-04-15T20:15:12.233",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch",
        "Vendor Advisory"
      ],
      "url": "https://support.chamilo.org/projects/1/wiki/Security_issues"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch",
        "Vendor Advisory"
      ],
      "url": "https://support.chamilo.org/projects/1/wiki/Security_issues"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-918"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2022-27426 (GCVE-0-2022-27426)

Vulnerability from cvelistv5 – Published: 2022-04-15 19:21 – Updated: 2024-08-03 05:25

Summary

A Server-Side Request Forgery (SSRF) in Chamilo LMS v1.11.13 allows attackers to enumerate the internal network and execute arbitrary system commands via a crafted Phar file.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2319 records in the last 180 days details

References

1 reference

URL	Tags
https://support.chamilo.org/projects/1/wiki/Secur…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T05:25:32.769Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://support.chamilo.org/projects/1/wiki/Security_issues"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A Server-Side Request Forgery (SSRF) in Chamilo LMS v1.11.13 allows attackers to enumerate the internal network and execute arbitrary system commands via a crafted Phar file."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2022-04-15T19:21:21.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://support.chamilo.org/projects/1/wiki/Security_issues"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2022-27426",
          "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": "A Server-Side Request Forgery (SSRF) in Chamilo LMS v1.11.13 allows attackers to enumerate the internal network and execute arbitrary system commands via a crafted Phar file."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
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          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://support.chamilo.org/projects/1/wiki/Security_issues",
              "refsource": "MISC",
              "url": "https://support.chamilo.org/projects/1/wiki/Security_issues"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2022-27426",
    "datePublished": "2022-04-15T19:21:21.000Z",
    "dateReserved": "2022-03-21T00:00:00.000Z",
    "dateUpdated": "2024-08-03T05:25:32.769Z",
    "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

Sightings and recorded dates, grouped by day · UTC

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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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