# CVE-2025-27784: Applio allows arbitrary file read in train.py export_pth function

> Attackers can read arbitrary files on the Applio server and potentially internal network servers via the export_pth function.

- **Severity:** High 7.7 (`CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:P`)
- **Exploited in the wild:** Not known
- **Login needed:** Not needed
- **Attackable:** Over the internet
- **Victim action needed:** Not needed
- **Fix available:** No
- **Published:** 19 Mar 2025
- **Updated:** 20 Mar 2025

## What is CVE-2025-27784?

CVE-2025-27784 is a high-severity path traversal vulnerability in IAHispano Applio, published on 19 Mar 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.

### Official description

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to arbitrary file read in train.py's `export_pth` function. This issue may lead to reading arbitrary files on the Applio server. It can also be used in conjunction with blind server-side request forgery to read files from servers on the internal network that the Applio server has access to. As of time of publication, no known patches are available.

Weakness: CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor)

## Which versions are affected by CVE-2025-27784?

It affects 1 product.


Products: Applio Applio.

## How do I fix CVE-2025-27784?

No fix has been published for CVE-2025-27784 yet. Limit exposure of the affected software until one is available.

## Is CVE-2025-27784 being exploited?

There is no known exploitation of CVE-2025-27784 in the wild and no public exploit code.

## Other vulnerabilities in IAHispano Applio

- [CVE-2025-27778](https://insights.sbomify.com/CVE-2025-27778/): Applio allows unsafe deserialization in infer.py (high 8.9)
- [CVE-2025-27779](https://insights.sbomify.com/CVE-2025-27779/): Applio allows unsafe deserialization in model_blender.py (high 8.9)
- [CVE-2025-27780](https://insights.sbomify.com/CVE-2025-27780/): Applio allows unsafe deserialization in model_information.py (high 8.9)
- [CVE-2025-27781](https://insights.sbomify.com/CVE-2025-27781/): Applio allows unsafe deserialization in inference.py (high 8.9)
- [CVE-2025-27774](https://insights.sbomify.com/CVE-2025-27774/): Applio allows SSRF and file write in model_download.py (high 8.8)

## Fix prompt for AI coding agents

```text
Check this codebase for CVE-2025-27784 and fix it if it is affected.

What it is: CVE-2025-27784 is a high-severity path traversal vulnerability in IAHispano Applio, published on 19 Mar 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.
Exploitation: There is no known exploitation of CVE-2025-27784 in the wild and no public exploit code.

Affected product: IAHispano Applio. No package-level version data is available, so check the vendor advisory linked from the reference page.

Task:
1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.
2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.
3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.
4. Run the tests and summarise what changed and why.
5. If nothing in the project is affected, say so and change nothing.

Reference: https://insights.sbomify.com/CVE-2025-27784/ (Markdown: https://insights.sbomify.com/CVE-2025-27784/index.md)
```

## Sources

- CVE record: https://www.cve.org/CVERecord?id=CVE-2025-27784
- NVD: https://nvd.nist.gov/vuln/detail/CVE-2025-27784
- OSV: https://osv.dev/vulnerability/CVE-2025-27784

---
From sbomify Insights: https://insights.sbomify.com/CVE-2025-27784/
Summaries are generated and may contain mistakes; the official description above is the record.