CVE-2023-22497
Published: 14 January 2023
Summary
CVE-2023-22497 is a medium-severity Improper Authentication (CWE-287) vulnerability in Netdata Netdata. Its CVSS base score is 6.5 (Medium).
Operationally, ranked at the 30.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Machine Learning Libraries.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-26638
Vulnerability details
Netdata is an open source option for real-time infrastructure monitoring and troubleshooting. Each Netdata Agent has an automatically generated MACHINE GUID. It is generated when the agent first starts and it is saved to disk, so that it will persist…
more
across restarts and reboots. Anyone who has access to a Netdata Agent has access to its MACHINE_GUID. Streaming is a feature that allows a Netdata Agent to act as parent for other Netdata Agents (children), offloading children from various functions (increased data retention, ML, health monitoring, etc) that can now be handled by the parent Agent. Configuration is done via `stream.conf`. On the parent side, users configure in `stream.conf` an API key (any random UUID can do) to provide common configuration for all children using this API key and per MACHINE GUID configuration to customize the configuration for each child. The way this was implemented, allowed an attacker to use a valid MACHINE_GUID as an API key. This affects all users who expose their Netdata Agents (children) to non-trusted users and they also expose to the same users Netdata Agent parents that aggregate data from all these children. The problem has been fixed in: Netdata agent v1.37 (stable) and Netdata agent v1.36.0-409 (nightly). As a workaround, do not enable streaming by default. If you have previously enabled this, it can be disabled. Limiting access to the port on the recipient Agent to trusted child connections may mitigate the impact of this vulnerability.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Machine Learning Libraries
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ml
Related Threats
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Controls whether organization resources are exposed to external system spheres by permitting or prohibiting their use.
The control ensures information is not released into a security sphere where the recipient lacks matching access authorizations.
The control ensures information resources are not exposed to the incorrect (public) sphere through review and authorization.
Protects against data mining that would expose resources to unauthorized spheres by enforcing detection and controls.
Restricts information flows to ensure resources are not exposed to incorrect or unauthorized spheres.
Detects unauthorized successful logons resulting from improper authentication implementations.
Documented procedures ensure personnel are trained on authentication mechanisms, tangibly lowering the risk of improper authentication being exploited.
Security awareness training instructs users on secure authentication practices and avoiding credential compromise.