# CVE-2023-6221: MachineSense FeverWarn Missing Authentication for Critical Function

> An attacker with internal access can view source code and secret credentials due to missing authentication on the cloud integration platform.

- **Severity:** High 7.7 (`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A: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:** 1 Feb 2024
- **Updated:** 15 May 2025
- **Also known as:** GHSA-cxwq-x5m7-2p4v

## What is CVE-2023-6221?

CVE-2023-6221 is a high-severity missing authorization vulnerability in MachineSense FeverWarn, published on 1 Feb 2024. Any signed-in user can exploit it over the network, with no action from the victim.

### Official description

The cloud provider MachineSense uses for integration and deployment for multiple MachineSense devices, such as the programmable logic controller (PLC), PumpSense, PowerAnalyzer, FeverWarn, and others is insufficiently protected against unauthorized access. An attacker with access to the internal procedures could view source code, secret credentials, and more.

Weakness: CWE-306 (Missing Authentication for Critical Functionality)

## Which versions are affected by CVE-2023-6221?

It affects 1 product.


Products: Machinesense Feverwarn Firmware.

## How do I fix CVE-2023-6221?

No fix has been published for CVE-2023-6221 yet. Limit exposure of the affected software until one is available.

## Is CVE-2023-6221 being exploited?

There is no known exploitation of CVE-2023-6221 in the wild and no public exploit code.

## Other vulnerabilities in MachineSense FeverWarn

- [CVE-2023-49617](https://insights.sbomify.com/CVE-2023-49617/): MachineSense FeverWarn Missing Authentication for Critical Function (critical 10.0)
- [CVE-2023-46706](https://insights.sbomify.com/CVE-2023-46706/): MachineSense FeverWarn Use of Hard-coded Credentials (critical 9.1)
- [CVE-2023-47867](https://insights.sbomify.com/CVE-2023-47867/): MachineSense FeverWarn Improper Access Control (high 8.8)
- [CVE-2023-49610](https://insights.sbomify.com/CVE-2023-49610/): MachineSense FeverWarn Improper Input Validation (high 8.1)
- [CVE-2023-49115](https://insights.sbomify.com/CVE-2023-49115/): MachineSense FeverWarn Missing Authentication for Critical Function (high 7.5)

## Fix prompt for AI coding agents

```text
Check this codebase for CVE-2023-6221 and fix it if it is affected.

What it is: CVE-2023-6221 is a high-severity missing authorization vulnerability in MachineSense FeverWarn, published on 1 Feb 2024. Any signed-in user can exploit it over the network, with no action from the victim.
Exploitation: There is no known exploitation of CVE-2023-6221 in the wild and no public exploit code.

Affected product: MachineSense FeverWarn. 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-2023-6221/ (Markdown: https://insights.sbomify.com/CVE-2023-6221/index.md)
```

## Sources

- CVE record: https://www.cve.org/CVERecord?id=CVE-2023-6221
- NVD: https://nvd.nist.gov/vuln/detail/CVE-2023-6221
- OSV: https://osv.dev/vulnerability/CVE-2023-6221

---
From sbomify Insights: https://insights.sbomify.com/CVE-2023-6221/
Summaries are generated and may contain mistakes; the official description above is the record.