# CVE-2025-15236: Quanta Computer｜QOCA aim AI Medical Cloud Platform - Path Traversal

> Authenticated attackers can read folder names via path traversal in Quanta Computer's QOCA aim AI Medical Cloud Platform.

- **Severity:** Medium 5.3 (`CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N`)
- **Exploited in the wild:** Not known
- **Login needed:** Any signed-in user
- **Attackable:** Over the internet
- **Victim action needed:** Not needed
- **Fix available:** No
- **Published:** 5 Jan 2026
- **Updated:** 5 Jan 2026
- **Also known as:** GHSA-mxr6-vw74-c6qj

## What is CVE-2025-15236?

CVE-2025-15236 is a medium-severity path traversal vulnerability in Quanta Computer QOCA aim AI Medical Cloud Platform, published on 5 Jan 2026. Any signed-in user can exploit it over the network, with no action from the victim.

### Official description

QOCA aim AI Medical Cloud Platform developed by Quanta Computer has a Path Traversal vulnerability, allowing authenticated remote attackers to read folder names under the specified path by exploiting an Absolute Path Traversal vulnerability.

Weakness: CWE-36 (Absolute Path Traversal)

## Which versions are affected by CVE-2025-15236?

It affects 1 product.


Products: Quantatw Qoca Aim.

## How do I fix CVE-2025-15236?

No fix has been published for CVE-2025-15236 yet. Limit exposure of the affected software until one is available.

## Is CVE-2025-15236 being exploited?

There is no known exploitation of CVE-2025-15236 in the wild and no public exploit code.

## Other vulnerabilities in Quanta Computer QOCA aim AI Medical Cloud Platform

- [CVE-2025-15240](https://insights.sbomify.com/CVE-2025-15240/): Quanta Computer｜QOCA aim AI Medical Cloud Platform - Arbitrary File Upload (high 8.7)
- [CVE-2025-15235](https://insights.sbomify.com/CVE-2025-15235/): Quanta Computer｜QOCA aim AI Medical Cloud Platform - Missing Authorization (high 7.1)
- [CVE-2025-15238](https://insights.sbomify.com/CVE-2025-15238/): Quanta Computer｜QOCA aim AI Medical Cloud Platform - SQL Injection (high 7.1)
- [CVE-2025-15239](https://insights.sbomify.com/CVE-2025-15239/): Quanta Computer｜QOCA aim AI Medical Cloud Platform - SQL Injection (high 7.1)
- [CVE-2025-15237](https://insights.sbomify.com/CVE-2025-15237/): Quanta Computer｜QOCA aim AI Medical Cloud Platform - Path Traversal (medium 5.3)

## Fix prompt for AI coding agents

```text
Check this codebase for CVE-2025-15236 and fix it if it is affected.

What it is: CVE-2025-15236 is a medium-severity path traversal vulnerability in Quanta Computer QOCA aim AI Medical Cloud Platform, published on 5 Jan 2026. Any signed-in user can exploit it over the network, with no action from the victim.
Exploitation: There is no known exploitation of CVE-2025-15236 in the wild and no public exploit code.

Affected product: Quanta Computer QOCA aim AI Medical Cloud Platform. 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-2025-15236/ (Markdown: https://insights.sbomify.com/CVE-2025-15236/index.md)
```

## Sources

- CVE record: https://www.cve.org/CVERecord?id=CVE-2025-15236
- NVD: https://nvd.nist.gov/vuln/detail/CVE-2025-15236
- OSV: https://osv.dev/vulnerability/CVE-2025-15236

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From sbomify Insights: https://insights.sbomify.com/CVE-2025-15236/
Summaries are generated and may contain mistakes; the official description above is the record.