GSD-2024-21645

Vulnerability from gsd - Updated: 2023-12-29 06:02
Details
pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker’s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.
Aliases
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{
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2024-21645"
      ],
      "details": "pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker\u2019s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.\n",
      "id": "GSD-2024-21645",
      "modified": "2023-12-29T06:02:04.950814Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2024-21645",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "pyload",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "=",
                          "version_value": "\u003c 0.5.0b3.dev77"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "pyload"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker\u2019s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.\n"
          }
        ]
      },
      "impact": {
        "cvss": [
          {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
            "version": "3.1"
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "cweId": "CWE-74",
                "lang": "eng",
                "value": "CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component (\u0027Injection\u0027)"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr",
            "refsource": "MISC",
            "url": "https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr"
          },
          {
            "name": "https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d",
            "refsource": "MISC",
            "url": "https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-ghmw-rwh8-6qmr",
        "discovery": "UNKNOWN"
      }
    },
    "nvd.nist.gov": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:pyload:pyload:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "71C7D7BA-743B-4C43-B77C-E6C1A6ACFE7E",
                    "versionEndIncluding": "0.4.9",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:pyload:pyload:0.5.0:beta1:*:*:*:*:*:*",
                    "matchCriteriaId": "3040B5C9-171B-40D9-83CB-CD529DC046ED",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:pyload:pyload:0.5.0:beta2:*:*:*:*:*:*",
                    "matchCriteriaId": "78FA70FC-0CFE-4E89-9274-1670E1204B61",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "descriptions": [
          {
            "lang": "en",
            "value": "pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker\u2019s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.\n"
          },
          {
            "lang": "es",
            "value": "pyLoad es el administrador de descargas gratuito y de c\u00f3digo abierto escrito en Python puro. Se identific\u00f3 una vulnerabilidad de inyecci\u00f3n de registros en \"pyload\" que permite a cualquier actor no autenticado inyectar mensajes arbitrarios en los registros recopilados por \"pyload\". Los archivos de registro corruptos, falsificados o no, se pueden utilizar para cubrir las huellas de un atacante o incluso para implicar a otra parte en la comisi\u00f3n de un acto malicioso. Esta vulnerabilidad ha sido parcheada en la versi\u00f3n 0.5.0b3.dev77."
          }
        ],
        "id": "CVE-2024-21645",
        "lastModified": "2024-01-11T17:32:30.503",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 5.3,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "LOW",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 1.4,
              "source": "nvd@nist.gov",
              "type": "Primary"
            },
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 5.3,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "LOW",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 1.4,
              "source": "security-advisories@github.com",
              "type": "Secondary"
            }
          ]
        },
        "published": "2024-01-08T14:15:47.420",
        "references": [
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Patch"
            ],
            "url": "https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d"
          },
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Exploit",
              "Vendor Advisory"
            ],
            "url": "https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr"
          }
        ],
        "sourceIdentifier": "security-advisories@github.com",
        "vulnStatus": "Analyzed",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-74"
              }
            ],
            "source": "security-advisories@github.com",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



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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

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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.


Detection rules are retrieved from Rulezet.


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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.