CVE-2013-5708 (GCVE-0-2013-5708)

Vulnerability from cvelistv5 – Published: 2013-09-06 10:00 – Updated: 2024-09-16 18:24
VLAI
Summary
Coursemill Learning Management System (LMS) 6.8 constructs secret tokens based on time values, which makes it easier for remote attackers to conduct cross-site request forgery (CSRF) attacks via vectors related to cookies, a different vulnerability than CVE-2013-3605.
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://www.kb.cert.org/vuls/id/960908 third-party-advisoryx_refsource_CERT-VN
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-06T17:22:30.083Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "name": "VU#960908",
            "tags": [
              "third-party-advisory",
              "x_refsource_CERT-VN",
              "x_transferred"
            ],
            "url": "http://www.kb.cert.org/vuls/id/960908"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Coursemill Learning Management System (LMS) 6.8 constructs secret tokens based on time values, which makes it easier for remote attackers to conduct cross-site request forgery (CSRF) attacks via vectors related to cookies, a different vulnerability than CVE-2013-3605."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2013-09-06T10:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "name": "VU#960908",
          "tags": [
            "third-party-advisory",
            "x_refsource_CERT-VN"
          ],
          "url": "http://www.kb.cert.org/vuls/id/960908"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2013-5708",
          "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": "Coursemill Learning Management System (LMS) 6.8 constructs secret tokens based on time values, which makes it easier for remote attackers to conduct cross-site request forgery (CSRF) attacks via vectors related to cookies, a different vulnerability than CVE-2013-3605."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "VU#960908",
              "refsource": "CERT-VN",
              "url": "http://www.kb.cert.org/vuls/id/960908"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2013-5708",
    "datePublished": "2013-09-06T10:00:00.000Z",
    "dateReserved": "2013-09-06T00:00:00.000Z",
    "dateUpdated": "2024-09-16T18:24:02.612Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2013-5708",
      "date": "2026-10-08",
      "epss": "0.00698",
      "percentile": "0.51635"
    },
    "nvd": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:trivantis:coursemill_learning_management_system:6.8:*:*:*:*:*:*:*",
                    "matchCriteriaId": "D70EA88F-28EF-4A9E-8FFB-474C9875A2F7",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Coursemill Learning Management System (LMS) 6.8 constructs secret tokens based on time values, which makes it easier for remote attackers to conduct cross-site request forgery (CSRF) attacks via vectors related to cookies, a different vulnerability than CVE-2013-3605."
          },
          {
            "lang": "es",
            "value": "Coursemill Learning Management System (LMS) v6.8 crea tokens secretos basados en valores de tiempo, lo cual facilita a atacantes remotos llevar a cabo ataques de falsificaci\u00f3n de petici\u00f3n en sitios cruzados (CSRF) a trav\u00e9s de vectores relacionados con cookies. Vulnerabilidad diferente de CVE-2013-3605."
          }
        ],
        "id": "CVE-2013-5708",
        "lastModified": "2026-04-29T01:13:23.040",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
                "accessComplexity": "MEDIUM",
                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "PARTIAL",
                "baseScore": 6.8,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "PARTIAL",
                "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
                "version": "2.0"
              },
              "exploitabilityScore": 8.6,
              "impactScore": 6.4,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ]
        },
        "published": "2013-09-06T11:15:40.537",
        "references": [
          {
            "source": "cve@mitre.org",
            "tags": [
              "US Government Resource"
            ],
            "url": "http://www.kb.cert.org/vuls/id/960908"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "US Government Resource"
            ],
            "url": "http://www.kb.cert.org/vuls/id/960908"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-352"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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

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.

Loading…

Loading…

Loading…

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.


Loading…