cvelistv5 - cve-2024-49375

CVE-2024-49375 (GCVE-0-2024-49375)

Vulnerability from cvelistv5

Published

2025-01-14 18:59

Modified

2025-01-15 15:17

Severity ?

9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

CWE

CWE-94 - Improper Control of Generation of Code ('Code Injection')
CWE-502 - Deserialization of Untrusted Data

Summary

Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.

References

▼	URL	Tags
	security-advisories@github.com	https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v

Impacted products

	Vendor	Product	Version
	RasaHQ	rasa-pro-security-advisories	Version: < 3.6.21

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-49375",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-01-15T15:17:08.931252Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-01-15T15:17:13.557Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "rasa-pro-security-advisories",
          "vendor": "RasaHQ",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 3.6.21"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.1,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-94",
              "description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502: Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-01-14T18:59:53.181Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v"
        }
      ],
      "source": {
        "advisory": "GHSA-cpv4-ggrr-7j9v",
        "discovery": "UNKNOWN"
      },
      "title": "Remote Code Execution via Remote Model Loading in Rasa"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2024-49375",
    "datePublished": "2025-01-14T18:59:53.181Z",
    "dateReserved": "2024-10-14T13:56:34.812Z",
    "dateUpdated": "2025-01-15T15:17:13.557Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "nvd": "{\"cve\":{\"id\":\"CVE-2024-49375\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2025-01-14T19:15:31.813\",\"lastModified\":\"2025-01-14T19:15:31.813\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H\",\"baseScore\":9.0,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"CHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.2,\"impactScore\":6.0}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-94\"},{\"lang\":\"en\",\"value\":\"CWE-502\"}]}],\"references\":[{\"url\":\"https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v\",\"source\":\"security-advisories@github.com\"}]}}",
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2024-49375\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-01-15T15:17:08.931252Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-01-15T15:16:58.116Z\"}}], \"cna\": {\"title\": \"Remote Code Execution via Remote Model Loading in Rasa\", \"source\": {\"advisory\": \"GHSA-cpv4-ggrr-7j9v\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV3_1\": {\"scope\": \"CHANGED\", \"version\": \"3.1\", \"baseScore\": 9.1, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"CRITICAL\", \"vectorString\": \"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H\", \"integrityImpact\": \"HIGH\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"HIGH\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}}], \"affected\": [{\"vendor\": \"RasaHQ\", \"product\": \"rasa-pro-security-advisories\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003c 3.6.21\"}]}], \"references\": [{\"url\": \"https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v\", \"name\": \"https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v\", \"tags\": [\"x_refsource_CONFIRM\"]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-94\", \"description\": \"CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)\"}]}, {\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-502\", \"description\": \"CWE-502: Deserialization of Untrusted Data\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2025-01-14T18:59:53.181Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2024-49375\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-01-15T15:17:13.557Z\", \"dateReserved\": \"2024-10-14T13:56:34.812Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2025-01-14T18:59:53.181Z\", \"assignerShortName\": \"GitHub_M\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}

ghsa-cpv4-ggrr-7j9v

Vulnerability from github

Published

2025-01-14 16:00

Modified

2025-01-14 21:59

Severity ?

9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

Summary

Rasa Allows Remote Code Execution via Remote Model Loading

Details

Vulnerability

A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution.

The prerequisites for this are: - The HTTP API must be enabled on the Rasa instance eg with --enable-api. This is not the default configuration. - For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. - For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API.

Fix

We encourage you to upgrade to a version of Rasa that includes a fix. These are:

Rasa Pro 3.8.18, 3.9.16, 3.10.12
Rasa Open Source 3.6.21

Once you have upgraded your Rasa Pro or Open Source installation, you will need to retrain your model using the fixed version of Rasa Pro or Open Source. If you have a custom component that inherits from one of the components listed below and modified the persist or load method, make sure to update your code. Please contact us in case you encounter any problems.

Affected components:

CountVectorFeaturizer
LexicalSyntacticFeaturizer
LogisticRegressionClassifier
SklearnIntentClassifier
DIETClassifier
CRFEntityExtractor
TrackerFeaturizer
TEDPolicy
UnexpectedIntentTEDPolicy

If you are unable to upgrade immediately, please follow our mitigation advice below.

Mitigation Advice

The unauthenticated RCE can be mitigated by ensuring that you enable authentication for the Rasa HTTP API if this is enabled. This means that in addition to passing --enable-api to Rasa, you should also pass an authentication configuration as described in our documentation here.
The authenticated RCE can be mitigated by:
- Ensuring that you only load models from trusted sources such as your own CI pipelines. You can check file hashes for model archives to confirm that a model has not been tampered with between training and use.
- Confirming that you have sufficient access controls and utilize the principle of least privilege to control who in your organization has the ability to interact with the Rasa API even with authentication enabled.

Future Releases

As an additional security step, a future release of Rasa Pro will remove the ability to enable the API without any authentication method enabled.

Credit

Rasa would like to thank Julian Scheid from Deutsche Telekom Security GmbH for responsible disclosure of this vulnerability.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "rasa-pro"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.10.0"
            },
            {
              "fixed": "3.10.12"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "rasa-pro"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.9.0"
            },
            {
              "fixed": "3.9.16"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "rasa-pro"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.8.18"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "rasa"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.6.21"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-49375"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502",
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-01-14T16:00:21Z",
    "nvd_published_at": "2025-01-14T19:15:31Z",
    "severity": "CRITICAL"
  },
  "details": "## Vulnerability\nA vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution.\n\nThe prerequisites for this are:\n- The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration.\n- For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation.\n- For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API.\n\n## Fix\nWe encourage you to upgrade to a version of Rasa that includes a fix. These are:\n\n- Rasa Pro 3.8.18, 3.9.16, 3.10.12\n- Rasa Open Source 3.6.21\n\nOnce you have upgraded your Rasa Pro or Open Source installation, you will need to retrain your model using the fixed version of Rasa Pro or Open Source. If you have a custom component that inherits from one of the components listed below and modified the persist or load method, make sure to update your code. Please contact us in case you encounter any problems.\n\nAffected components:\n\n- `CountVectorFeaturizer`\n- `LexicalSyntacticFeaturizer`\n- `LogisticRegressionClassifier`\n- `SklearnIntentClassifier`\n- `DIETClassifier`\n- `CRFEntityExtractor`\n- `TrackerFeaturizer`\n- `TEDPolicy`\n- `UnexpectedIntentTEDPolicy`\n\nIf you are unable to upgrade immediately, please follow our mitigation advice below.\n\n## Mitigation Advice\n\n- The unauthenticated RCE can be mitigated by ensuring that you enable authentication for the Rasa HTTP API if this is enabled. This means that in addition to passing `--enable-api` to Rasa, you should also pass an authentication configuration as described in our documentation [here](https://rasa.com/docs/rasa-pro/production/rest-api/#enabling-the-rest-api). \n\n- The authenticated RCE can be mitigated by:\n    - Ensuring that you only load models from trusted sources such as your own CI pipelines. You can check file hashes for model archives to confirm that a model has not been tampered with between training and use.\n    - Confirming that you have sufficient access controls and utilize the principle of least privilege to control who in your organization has the ability to interact with the Rasa API even with authentication enabled.\n\n## Future Releases\nAs an additional security step, a future release of Rasa Pro will remove the ability to enable the API without any authentication method enabled.\n\n## Credit\nRasa would like to thank Julian Scheid from Deutsche Telekom Security GmbH for responsible disclosure of this vulnerability.",
  "id": "GHSA-cpv4-ggrr-7j9v",
  "modified": "2025-01-14T21:59:24Z",
  "published": "2025-01-14T16:00:21Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-49375"
    },
    {
      "type": "WEB",
      "url": "https://github.com/RasaHQ/rasa/commit/2bb1d779d4f4acaf70b6dfa35dd1899dccbb1ae6"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/rasahq/rasa"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Rasa Allows Remote Code Execution via Remote Model Loading"
}

fkie_cve-2024-49375

Vulnerability from fkie_nvd

Published

2025-01-14 19:15

Modified

2025-01-14 19:15

Severity ?

9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

Summary

References

▼	URL	Tags
	security-advisories@github.com	https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v

Impacted products

	Vendor	Product	Version

JSON

To clipboard

{
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access."
    },
    {
      "lang": "es",
      "value": "Framework de aprendizaje autom\u00e1tico de c\u00f3digo abierto. Se ha identificado una vulnerabilidad en Rasa que permite a un atacante que tiene la capacidad de cargar un modelo manipulado malintencionado de forma remota en una instancia de Rasa lograr la ejecuci\u00f3n remota de c\u00f3digo. Los requisitos previos para esto son: 1. La API HTTP debe estar habilitada en la instancia de Rasa, por ejemplo, con `--enable-api`. Esta no es la configuraci\u00f3n predeterminada. 2. Para que se pueda explotar una RCE no autenticada, el usuario no debe haber configurado ninguna autenticaci\u00f3n u otros controles de seguridad recomendados en nuestra documentaci\u00f3n. 3. Para una RCE autenticada, el atacante debe poseer un token de autenticaci\u00f3n v\u00e1lido o JWT para interactuar con la API de Rasa. Este problema se ha solucionado en la versi\u00f3n 3.6.21 de rasa y se recomienda a todos los usuarios que actualicen. Los usuarios que no puedan actualizar deben asegurarse de requerir autenticaci\u00f3n y de que solo los usuarios de confianza tengan acceso."
    }
  ],
  "id": "CVE-2024-49375",
  "lastModified": "2025-01-14T19:15:31.813",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.0,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 6.0,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2025-01-14T19:15:31.813",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Awaiting Analysis",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        },
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Primary"
    }
  ]
}

Sightings

Author	Source	Type	Date

Nomenclature

Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
Confirmed: The vulnerability is confirmed from an analyst perspective.
Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
Patched: This vulnerability was successfully patched by the user reporting the sighting.
Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
Not confirmed: The user expresses doubt about the veracity of the vulnerability.
Not patched: This vulnerability was not successfully patched by the user reporting the sighting.

Action not permitted

CVE-2024-49375 (GCVE-0-2024-49375)

Vulnerability from cvelistv5

ghsa-cpv4-ggrr-7j9v

Vulnerability from github

Vulnerability

Fix

Mitigation Advice

Future Releases

Credit

fkie_cve-2024-49375

Vulnerability from fkie_nvd

Tags

Sightings

Nomenclature