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ApplioApplication

CVE-2025-27783

CRITICAL · 9.8 CVSS v3.1 Published 2025-03-19
Fix available
A fix is available. Upgrade to after 3.2.8-bugfix or later.
See remediation →
100/100
Remediation priority · Urgent
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to arbitrary file write in train.py. This issue may lead to writing arbitrary files on the Applio server. It can also be used in conjunction with an unsafe deserialization to achieve remote code execution. As of time of publication, no known patches are available.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

Applio versions 3.2.8-bugfix and prior contain an arbitrary file write vulnerability in train.py that allows attackers to write files to arbitrary locations on the server. This can be chained with unsafe deserialization present in the same component to achieve remote code execution.

MitigationSince no official patch exists, implement strict input validation on file write operations, restrict the allowed write paths to a safe directory, remove or secure any unsafe deserialization code, and consider network-level access controls to limit exposure until an official fix is released.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
ApplioApplication
Affected:<= 3.2.8-bugfix

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify Applio installation and version
    Locate the Applio application directory and check for version identifiers in metadata files, such as version.py, __init__.py, or a changelog/VERSION file. Common locations include /opt/applio, /var/www/applio, or within the user's home directory if self-hosted.
    Affected if The installed version is 3.2.8-bugfix or any version number lower than 3.2.8-bugfix.
  2. Locate the train.py component
    Search for train.py within the Applio installation directory. This is the component containing the vulnerability. Use commands like 'find /path/to/applio -name train.py' or inspect the main source directory structure.
    Affected if train.py exists in the Applio installation and is accessible to the web application or API endpoints.
  3. Inspect train.py for unsafe file write operations
    Examine the train.py source code for functions that handle file paths without proper sanitization. Look for calls involving file creation, writing, or path concatenation where user-controlled input may be used without validation (for example, direct use of user input in open(), write(), or path.join() without sanitization checks).
    Affected if Code in train.py accepts file paths or filenames from external input without validating or sanitizing the path to prevent directory traversal.
  4. Inspect train.py for unsafe deserialization patterns
    Review train.py for deserialization operations that use unsafe methods. Search for uses of pickle.loads(), yaml.load() withunsafe loader, jsonpickle.decode(), or similar deserialization functions that do not specify safe loaders.
    Affected if train.py contains deserialization code that uses unsafe methods or allows execution of arbitrary serialized content.
  5. Verify network exposure of Applio services
    Check if the Applio web interface or API is exposed to untrusted networks. Review firewall rules, reverse proxy configurations, and service binding addresses (listen on 0.0.0.0 vs 127.0.0.1).
    Affected if Applio is reachable from untrusted network segments or the public internet without authentication or additional access controls.

A user is affected if Applio version 3.2.8-bugfix or prior is installed, train.py with unsafe file write and deserialization is exposed, and the service is reachable by potential attackers.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to a release after 3.2.8-bugfix
Interim mitigation

Since no official patch exists, implement strict input validation on file write operations, restrict the allowed write paths to a safe directory, remove or secure any unsafe deserialization code, and consider network-level access controls to limit exposure until an official fix is released.

Recommended fix High confidence
  1. No patch is currently available for this vulnerability according to the official description.
  2. Monitor the official Applio repository (github.com) for future security updates addressing CVE-2025-27783.
  3. Implement network-level restrictions to limit exposure to untrusted users until a fix is released.
  4. If applicable, restrict access to the train.py functionality to trusted users only.

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Applio Scoped from the published advisory
  • Consultation4.0 h
  • Implementation8.0 h
  • Testing4.0 h
  • Review / QA3.0 h
19.0 hours of engineering $3,380
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-27783 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data