Which versions of Applio are affected by CVE-2025-27781?

Organizations using Applio face significant risk from CVE-2025-27781, a insecure deserialization vulnerability rated CVSS 8.9.. A patch is available.

How to fix or mitigate CVE-2025-27781?

Within 7 days: Identify all affected systems and apply vendor patches promptly. Restrict deserialization to trusted data sources and implement integrity checks.

Applio CVE-2025-27781

Q: What is the CVSS score of CVE-2025-27781?

CVE-2025-27781 has a CVSS 4.0 base score of 8.9 (High). CVSS vector: 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. EPSS exploitation probability: 5.1%.

HIGH

Deserialization of Untrusted Data (CWE-502)

2025-03-19 security-advisories@github.com

RCE Deserialization Applio

8.9

CVSS 4.0 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

8.9 HIGH

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

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 18:32 vuln.today

Patch released

Mar 28, 2026 - 18:32 nvd

Patch available

CVE Published

Mar 19, 2025 - 21:15 nvd

HIGH 8.9

DescriptionGitHub Advisory

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.

AnalysisAI

Applio is a voice conversion tool. Rated high severity (CVSS 8.9), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Deserialization of Untrusted Data vulnerability could allow attackers to execute arbitrary code through malicious serialized objects.

Technical ContextAI

This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. 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. Affected products include: Applio.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.

CVE-2025-27781 vulnerability details – vuln.today

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