zenml: Improper Access Control
CVE-2024-25723 is a high-severity improper access control vulnerability in zenml from Zenmlio, with a CVSS 3.1 base score of 8.8 out of 10. It can be exploited remotely over the network by an attacker with a low-privileged account, without any action from a user. The record lists version 0.46.7 as the first without the flaw, so updating zenml to that release or later removes the exposure. There is no confirmed exploitation so far. EPSS estimates a 70.8% chance of exploitation within 30 days, which is in the top 0.59% of all scored CVEs.
Exploitation in the next 30 days is more likely than not, according to EPSS.
What to do
- Update zenml to 0.46.7 or a later version.
- Read the advisory on zenml.io for workarounds and exact fixed builds.
Affected products and versions
Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.
How the severity score breaks down
- Attack vector
- NetworkCan be exploited remotely over a network, including the internet.
- Attack complexity
- LowNo special conditions are needed; the attack works reliably.
- Privileges required
- LowA basic user account is enough.
- User interaction
- NoneNo action by a victim is required.
- Scope
- UnchangedImpact stays within the vulnerable component.
- Confidentiality
- HighAll data handled by the component can be read.
- Integrity
- HighData or code can be modified at will.
- Availability
- HighThe component can be taken down completely.
Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. Scored by CISA (ADP).
Official description
ZenML Server in the ZenML machine learning package before 0.46.7 for Python allows remote privilege escalation because the /api/v1/users/{user_name_or_id}/activate REST API endpoint allows access on the basis of a valid username along with a new password in the request body. These are also patched versions: 0.44.4, 0.43.1, and 0.42.2.
Source: the CVE record as published by its numbering authority, via NVD and CVE.org.
The underlying weakness: Improper Access Control
The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.
How developers prevent this class of flaw
- Very carefully manage the setting, management, and handling of privileges. Explicitly manage trust zones in the software.
- Compartmentalize the system to have safe areas where trust boundaries can be unambiguously drawn. Do not allow sensitive data to go outside of the trust boundary and always be careful when interfacing with a compartment outside of the safe area. Ensure that appropriate compartmentalization is built into the system design, and the compartmentalization allows for and reinforces privilege separation functionality. Architects and designers should rely on the principle of least privilege to decide the appropriate time to use privileges and the time to drop privileges.
Timeline
- CVE record published.
- CISA published its SSVC assessment (exploitation: poc, automatable: no, technical impact: total).
- Record last changed materially (score, affected products, status or references).
References
Other references
Other vulnerabilities in zenml
- 8.8 High severity
- 9.9 Critical severity
Recent Improper Access Control vulnerabilities
- 7.1 High severity
- 7.1 High severity
- 9.8 Critical severity
- 8.6 High severity
- 8.8 High severity
- 8.8 High severity
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