CVE-2024-45989 (GCVE-0-2024-45989)

Vulnerability from cvelistv5 – Published: 2024-09-26 00:00 – Updated: 2024-09-27 14:55
VLAI
Summary
Monica AI Assistant desktop application v2.3.0 is vulnerable to Exposure of Sensitive Information to an Unauthorized Actor. A prompt injection allows an attacker to modify chatbot answer with an unloaded image that exfiltrates the user's sensitive chat data of the current session to a malicious third-party or attacker-controlled server.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-27 14:48 UTC
CWE
  • n/a
  • CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
Impacted products
Vendor Product Version CPE status
butterflyeffectpte monica Affected: 0 , < 2.3.0 (custom)
    cpe:2.3:a:butterflyeffectpte:monica:*:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:butterflyeffectpte:monica:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "monica",
            "vendor": "butterflyeffectpte",
            "versions": [
              {
                "lessThan": "2.3.0",
                "status": "affected",
                "version": "0",
                "versionType": "custom"
              }
            ]
          }
        ],
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "LOCAL",
              "availabilityImpact": "NONE",
              "baseScore": 4,
              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "LOW",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2024-45989",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-09-27T14:48:45.704871Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-77",
                "description": "CWE-77 Improper Neutralization of Special Elements used in a Command (\u0027Command Injection\u0027)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-09-27T14:55:41.032Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Monica AI Assistant desktop application v2.3.0 is vulnerable to Exposure of Sensitive Information to an Unauthorized Actor. A prompt injection allows an attacker to modify chatbot answer with an unloaded image that exfiltrates the user\u0027s sensitive chat data of the current session to a malicious third-party or attacker-controlled server."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2024-09-26T18:12:28.972Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://monica.im/desktop"
        },
        {
          "url": "https://github.com/soursec/CVEs/tree/main/CVE-2024-45989"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2024-45989",
    "datePublished": "2024-09-26T00:00:00.000Z",
    "dateReserved": "2024-09-11T00:00:00.000Z",
    "dateUpdated": "2024-09-27T14:55:41.032Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2024-45989",
      "date": "2026-09-21",
      "epss": "0.00313",
      "percentile": "0.24337"
    },
    "fkie_nvd": {
      "descriptions": [
        {
          "lang": "en",
          "value": "Monica AI Assistant desktop application v2.3.0 is vulnerable to Exposure of Sensitive Information to an Unauthorized Actor. A prompt injection allows an attacker to modify chatbot answer with an unloaded image that exfiltrates the user\u0027s sensitive chat data of the current session to a malicious third-party or attacker-controlled server."
        },
        {
          "lang": "es",
          "value": "La aplicaci\u00f3n de escritorio Monica AI Assistant v2.3.0 es vulnerable a la exposici\u00f3n de informaci\u00f3n confidencial a un actor no autorizado. Una inyecci\u00f3n r\u00e1pida permite a un atacante modificar la respuesta del chatbot con una imagen no cargada que filtra los datos confidenciales del chat del usuario de la sesi\u00f3n actual a un servidor malicioso de terceros o controlado por el atacante."
        }
      ],
      "id": "CVE-2024-45989",
      "lastModified": "2024-09-30T12:46:20.237",
      "metrics": {
        "cvssMetricV31": [
          {
            "cvssData": {
              "attackComplexity": "LOW",
              "attackVector": "LOCAL",
              "availabilityImpact": "NONE",
              "baseScore": 4.0,
              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "LOW",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
              "version": "3.1"
            },
            "exploitabilityScore": 2.5,
            "impactScore": 1.4,
            "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
            "type": "Secondary"
          }
        ]
      },
      "published": "2024-09-26T18:15:08.667",
      "references": [
        {
          "source": "cve@mitre.org",
          "url": "https://github.com/soursec/CVEs/tree/main/CVE-2024-45989"
        },
        {
          "source": "cve@mitre.org",
          "url": "https://monica.im/desktop"
        }
      ],
      "sourceIdentifier": "cve@mitre.org",
      "vulnStatus": "Awaiting Analysis",
      "weaknesses": [
        {
          "description": [
            {
              "lang": "en",
              "value": "CWE-77"
            }
          ],
          "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "type": "Secondary"
        }
      ]
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "product": "n/a",
                "vendor": "n/a",
                "versions": [
                  {
                    "status": "affected",
                    "version": "n/a"
                  }
                ]
              }
            ],
            "source": "cve@mitre.org"
          },
          {
            "affectedData": [
              {
                "cpes": [
                  "cpe:2.3:a:butterflyeffectpte:monica:*:*:*:*:*:*:*:*"
                ],
                "defaultStatus": "unknown",
                "product": "monica",
                "vendor": "butterflyeffectpte",
                "versions": [
                  {
                    "lessThan": "2.3.0",
                    "status": "affected",
                    "version": "0",
                    "versionType": "custom"
                  }
                ]
              }
            ],
            "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Monica AI Assistant desktop application v2.3.0 is vulnerable to Exposure of Sensitive Information to an Unauthorized Actor. A prompt injection allows an attacker to modify chatbot answer with an unloaded image that exfiltrates the user\u0027s sensitive chat data of the current session to a malicious third-party or attacker-controlled server."
          },
          {
            "lang": "es",
            "value": "La aplicaci\u00f3n de escritorio Monica AI Assistant v2.3.0 es vulnerable a la exposici\u00f3n de informaci\u00f3n confidencial a un actor no autorizado. Una inyecci\u00f3n r\u00e1pida permite a un atacante modificar la respuesta del chatbot con una imagen no cargada que filtra los datos confidenciales del chat del usuario de la sesi\u00f3n actual a un servidor malicioso de terceros o controlado por el atacante."
          }
        ],
        "id": "CVE-2024-45989",
        "lastModified": "2026-06-17T07:55:06.643",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
                "availabilityImpact": "NONE",
                "baseScore": 4.0,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "LOW",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
                "version": "3.1"
              },
              "exploitabilityScore": 2.5,
              "impactScore": 1.4,
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "type": "Secondary"
            }
          ],
          "ssvcV203": [
            {
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "ssvcData": {
                "id": "CVE-2024-45989",
                "options": [
                  {
                    "exploitation": "poc"
                  },
                  {
                    "automatable": "no"
                  },
                  {
                    "technicalImpact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-09-27T14:48:45.704871Z",
                "version": "2.0.3"
              }
            }
          ]
        },
        "published": "2024-09-26T18:15:08.667",
        "references": [
          {
            "source": "cve@mitre.org",
            "url": "https://github.com/soursec/CVEs/tree/main/CVE-2024-45989"
          },
          {
            "source": "cve@mitre.org",
            "url": "https://monica.im/desktop"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Deferred",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-77"
              }
            ],
            "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
            "type": "Secondary"
          }
        ]
      }
    },
    "redhat_vex": {
      "current_release_date": "2026-03-27T09:44:27+00:00",
      "cve": "CVE-2024-45989",
      "id": "CVE-2024-45989",
      "initial_release_date": "2024-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "CVE-2024-45989",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-45989.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "affected": [
              {
                "cpes": [
                  "cpe:2.3:a:butterflyeffectpte:monica:*:*:*:*:*:*:*:*"
                ],
                "defaultStatus": "unknown",
                "product": "monica",
                "vendor": "butterflyeffectpte",
                "versions": [
                  {
                    "lessThan": "2.3.0",
                    "status": "affected",
                    "version": "0",
                    "versionType": "custom"
                  }
                ]
              }
            ],
            "metrics": [
              {
                "cvssV3_1": {
                  "attackComplexity": "LOW",
                  "attackVector": "LOCAL",
                  "availabilityImpact": "NONE",
                  "baseScore": 4,
                  "baseSeverity": "MEDIUM",
                  "confidentialityImpact": "LOW",
                  "integrityImpact": "NONE",
                  "privilegesRequired": "NONE",
                  "scope": "UNCHANGED",
                  "userInteraction": "NONE",
                  "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
                  "version": "3.1"
                }
              },
              {
                "other": {
                  "content": {
                    "id": "CVE-2024-45989",
                    "options": [
                      {
                        "Exploitation": "poc"
                      },
                      {
                        "Automatable": "no"
                      },
                      {
                        "Technical Impact": "partial"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2024-09-27T14:48:45.704871Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "problemTypes": [
              {
                "descriptions": [
                  {
                    "cweId": "CWE-77",
                    "description": "CWE-77 Improper Neutralization of Special Elements used in a Command (\u0027Command Injection\u0027)",
                    "lang": "en",
                    "type": "CWE"
                  }
                ]
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2024-09-27T14:53:39.946Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
          }
        ],
        "cna": {
          "affected": [
            {
              "product": "n/a",
              "vendor": "n/a",
              "versions": [
                {
                  "status": "affected",
                  "version": "n/a"
                }
              ]
            }
          ],
          "descriptions": [
            {
              "lang": "en",
              "value": "Monica AI Assistant desktop application v2.3.0 is vulnerable to Exposure of Sensitive Information to an Unauthorized Actor. A prompt injection allows an attacker to modify chatbot answer with an unloaded image that exfiltrates the user\u0027s sensitive chat data of the current session to a malicious third-party or attacker-controlled server."
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "description": "n/a",
                  "lang": "en",
                  "type": "text"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2024-09-26T18:12:28.972Z",
            "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
            "shortName": "mitre"
          },
          "references": [
            {
              "url": "https://monica.im/desktop"
            },
            {
              "url": "https://github.com/soursec/CVEs/tree/main/CVE-2024-45989"
            }
          ]
        }
      },
      "cveMetadata": {
        "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "assignerShortName": "mitre",
        "cveId": "CVE-2024-45989",
        "datePublished": "2024-09-26T00:00:00.000Z",
        "dateReserved": "2024-09-11T00:00:00.000Z",
        "dateUpdated": "2024-09-27T14:55:41.032Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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…

Detection rules are retrieved from Rulezet.

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…