# CVE-2022-2034: Sensei LMS < 4.5.0 - Unauthenticated Private Messages Disclosure via Rest API

> Unauthenticated attackers can access private messages sent to teachers via a REST API endpoint lacking proper permission checks.

- **Severity:** Medium 5.3 (`CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N`)
- **Exploited in the wild:** Not known
- **Login needed:** Not needed
- **Attackable:** Over the internet
- **Victim action needed:** Not needed
- **Fix available:** No
- **Published:** 29 Aug 2022
- **Updated:** 3 Aug 2024
- **Also known as:** GHSA-h8qw-944w-6vhw

## What is CVE-2022-2034?

CVE-2022-2034 is a medium-severity missing authorization vulnerability in Unknown Sensei LMS, published on 29 Aug 2022. An attacker can exploit it over the internet without logging in, with no action from the victim.

### Official description

The Sensei LMS WordPress plugin before 4.5.0 does not have proper permissions set in one of its REST endpoint, allowing unauthenticated users to access private messages sent to teachers

Weakness: CWE-639 (Authorization Bypass Through User-Controlled Key)

## Which versions are affected by CVE-2022-2034?

It affects 1 product.


Products: Automattic Sensei Lms.

## How do I fix CVE-2022-2034?

No fix has been published for CVE-2022-2034 yet. Limit exposure of the affected software until one is available.

## Is CVE-2022-2034 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-2034 exists.

Public exploit code:

- WordPress Sensei LMS <4.5.0 - Information Disclosure (nuclei): http/cves/2022/CVE-2022-2034.yaml

## Other vulnerabilities in Unknown Sensei LMS

- [CVE-2024-7786](https://insights.sbomify.com/CVE-2024-7786/): Sensei LMS < 4.24.2 - Unauthenticated Email Template Leak (high 7.5)
- [CVE-2023-50875](https://insights.sbomify.com/CVE-2023-50875/): WordPress Sensei LMS Plugin <= 4.17.0 is vulnerable to Cross Site Scripting (XSS) (medium 6.5)
- [CVE-2025-0466](https://insights.sbomify.com/CVE-2025-0466/): Sensei LMS < 4.24.4 - Unauthenticated sensei_email/sensei_message Disclosure (medium 5.3)
- [CVE-2024-8009](https://insights.sbomify.com/CVE-2024-8009/): Sensei LMS < 4.20.0 - Teacher+ Users Email Address Disclosure (medium 4.3)
- [CVE-2022-2080](https://insights.sbomify.com/CVE-2022-2080/): Sensei LMS < 4.5.2 - Arbitrary Private Message Sending via IDOR (medium 4.3)

## Fix prompt for AI coding agents

```text
Check this codebase for CVE-2022-2034 and fix it if it is affected.

What it is: CVE-2022-2034 is a medium-severity missing authorization vulnerability in Unknown Sensei LMS, published on 29 Aug 2022. An attacker can exploit it over the internet without logging in, with no action from the victim.
Exploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-2034 exists.

Affected product: Unknown Sensei LMS. 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-2022-2034/ (Markdown: https://insights.sbomify.com/CVE-2022-2034/index.md)
```

## Sources

- CVE record: https://www.cve.org/CVERecord?id=CVE-2022-2034
- NVD: https://nvd.nist.gov/vuln/detail/CVE-2022-2034
- OSV: https://osv.dev/vulnerability/CVE-2022-2034

---
From sbomify Insights: https://insights.sbomify.com/CVE-2022-2034/
Summaries are generated and may contain mistakes; the official description above is the record.