CVE-2025-27781 (GCVE-0-2025-27781)

Vulnerability from cvelistv5 – Published: 2025-03-19 20:22 – Updated: 2025-03-19 20:48
VLAI
Title
Applio allows unsafe deserialization in inference.py
Summary
Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-19 20:47 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 7761 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
IAHispano Applio Affected: <= 3.2.8-bugfix
guessed Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-27781",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-19T20:47:57.778472Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-03-19T20:48:03.243Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Applio",
          "vendor": "IAHispano",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c= 3.2.8-bugfix"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 8.9,
            "baseSeverity": "HIGH",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502: Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-03-19T20:22:38.448Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/"
        },
        {
          "name": "https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097"
        },
        {
          "name": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325"
        },
        {
          "name": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345"
        },
        {
          "name": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57"
        }
      ],
      "source": {
        "advisory": "GHSA-9w6h-mr42-fwvq",
        "discovery": "UNKNOWN"
      },
      "title": "Applio allows unsafe deserialization in inference.py"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2025-27781",
    "datePublished": "2025-03-19T20:22:38.448Z",
    "dateReserved": "2025-03-06T18:06:54.460Z",
    "dateUpdated": "2025-03-19T20:48:03.243Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2025-27781",
      "date": "2026-10-24",
      "epss": "0.00923",
      "percentile": "0.6006"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "product": "Applio",
                "vendor": "IAHispano",
                "versions": [
                  {
                    "status": "affected",
                    "version": "\u003c= 3.2.8-bugfix"
                  }
                ]
              }
            ],
            "source": "security-advisories@github.com"
          }
        ],
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:applio:applio:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "B27727D5-2D87-4D8E-B880-98924CFA32C5",
                    "versionEndIncluding": "3.2.8-bugfix",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository."
          },
          {
            "lang": "es",
            "value": "Applio es una herramienta de conversi\u00f3n de voz. Las versiones 3.2.8 correcci\u00f3n de errores y anteriores son vulnerables a una deserializaci\u00f3n insegura en inference.py. Tanto `model_file` en inference.py como `model_file` en tts.py toman la entrada proporcionada por el usuario (por ejemplo, la ruta a un modelo) y pasan ese valor a la funci\u00f3n `change_choices` y, posteriormente, a la funci\u00f3n `get_speakers_id`, que carga dicho modelo con `torch.load` en inference.py (l\u00ednea 326 en 3.2.8-correcci\u00f3n de errores), que es vulnerable a una deserializaci\u00f3n insegura. Este problema puede provocar la ejecuci\u00f3n remota de c\u00f3digo. Hay un parche disponible en la rama `main` del repositorio."
          }
        ],
        "id": "CVE-2025-27781",
        "lastModified": "2026-06-17T09:04:12.853",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 9.8,
                "baseSeverity": "CRITICAL",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 5.9,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ],
          "cvssMetricV40": [
            {
              "cvssData": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "LOW",
                "attackRequirements": "NONE",
                "attackVector": "NETWORK",
                "availabilityRequirement": "NOT_DEFINED",
                "baseScore": 8.9,
                "baseSeverity": "HIGH",
                "confidentialityRequirement": "NOT_DEFINED",
                "exploitMaturity": "PROOF_OF_CONCEPT",
                "integrityRequirement": "NOT_DEFINED",
                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
                "modifiedSubIntegrityImpact": "NOT_DEFINED",
                "modifiedUserInteraction": "NOT_DEFINED",
                "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
                "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
                "modifiedVulnIntegrityImpact": "NOT_DEFINED",
                "privilegesRequired": "NONE",
                "providerUrgency": "NOT_DEFINED",
                "subAvailabilityImpact": "NONE",
                "subConfidentialityImpact": "NONE",
                "subIntegrityImpact": "NONE",
                "userInteraction": "NONE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
                "version": "4.0",
                "vulnAvailabilityImpact": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "security-advisories@github.com",
              "type": "Secondary"
            }
          ],
          "ssvcV203": [
            {
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "ssvcData": {
                "id": "CVE-2025-27781",
                "options": [
                  {
                    "exploitation": "poc"
                  },
                  {
                    "automatable": "yes"
                  },
                  {
                    "technicalImpact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-19T20:47:57.778472Z",
                "version": "2.0.3"
              }
            }
          ]
        },
        "published": "2025-03-19T21:15:40.117",
        "references": [
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Product"
            ],
            "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325"
          },
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Product"
            ],
            "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345"
          },
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Product"
            ],
            "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57"
          },
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Patch"
            ],
            "url": "https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097"
          },
          {
            "source": "security-advisories@github.com",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/"
          }
        ],
        "sourceIdentifier": "security-advisories@github.com",
        "vulnStatus": "Analyzed",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-502"
              }
            ],
            "source": "security-advisories@github.com",
            "type": "Secondary"
          }
        ]
      }
    },
    "redhat_vex": {
      "current_release_date": "2025-05-28T17:37:29+00:00",
      "cve": "CVE-2025-27781",
      "id": "CVE-2025-27781",
      "initial_release_date": "2025-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Applio allows unsafe deserialization in inference.py",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-27781.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "metrics": [
              {
                "other": {
                  "content": {
                    "id": "CVE-2025-27781",
                    "options": [
                      {
                        "Exploitation": "poc"
                      },
                      {
                        "Automatable": "yes"
                      },
                      {
                        "Technical Impact": "total"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2025-03-19T20:47:57.778472Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2025-03-19T20:48:00.483Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
          }
        ],
        "cna": {
          "affected": [
            {
              "product": "Applio",
              "vendor": "IAHispano",
              "versions": [
                {
                  "status": "affected",
                  "version": "\u003c= 3.2.8-bugfix"
                }
              ]
            }
          ],
          "descriptions": [
            {
              "lang": "en",
              "value": "Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository."
            }
          ],
          "metrics": [
            {
              "cvssV4_0": {
                "attackComplexity": "LOW",
                "attackRequirements": "NONE",
                "attackVector": "NETWORK",
                "baseScore": 8.9,
                "baseSeverity": "HIGH",
                "privilegesRequired": "NONE",
                "subAvailabilityImpact": "NONE",
                "subConfidentialityImpact": "NONE",
                "subIntegrityImpact": "NONE",
                "userInteraction": "NONE",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P",
                "version": "4.0",
                "vulnAvailabilityImpact": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-502",
                  "description": "CWE-502: Deserialization of Untrusted Data",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2025-03-19T20:22:38.448Z",
            "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
            "shortName": "GitHub_M"
          },
          "references": [
            {
              "name": "https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/",
              "tags": [
                "x_refsource_CONFIRM"
              ],
              "url": "https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/"
            },
            {
              "name": "https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097"
            },
            {
              "name": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325"
            },
            {
              "name": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345"
            },
            {
              "name": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57"
            }
          ],
          "source": {
            "advisory": "GHSA-9w6h-mr42-fwvq",
            "discovery": "UNKNOWN"
          },
          "title": "Applio allows unsafe deserialization in inference.py"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2025-27781",
        "datePublished": "2025-03-19T20:22:38.448Z",
        "dateReserved": "2025-03-06T18:06:54.460Z",
        "dateUpdated": "2025-03-19T20:48:03.243Z",
        "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…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

Loading timeline…


    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.