CVE-2024-4311 is a medium-severity (CVSS 5.4) CWE-770 vulnerability in zenml. A fix is available for zenml — see the affected versions and patch details below.
Lack of login attempt rate-limiting in zenml-io/zenml
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for CVE-2024-4311.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
Where this sits among everything scored
Real-World Exposure
zenmlReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
zenml-io/zenml version 0.56.4 is vulnerable to an account takeover due to the lack of rate-limiting in the password change function. An attacker can brute-force the current password in the 'Update Password' function, allowing them to take over the user's account. This vulnerability is due to the absence of rate-limiting on the '/api/v1/current-user' endpoint, which does not restrict the number of attempts an attacker can make to guess the current password. Successful exploitation results in the attacker being able to change the password and take control of the account.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | zenml | all versions | 0.57.0rc2pip install --upgrade 'zenml==0.57.0rc2' |
Affected Products
zenmlzenmlDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for zenml, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update zenml to 0.57.0rc2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2024-4311 is resolved across your whole dependency graph.
Workarounds
Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.
Frequently Asked Questions
Is CVE-2024-4311 in your dependencies?
Find it across PyPI, including transitive dependencies.