CVE-2024-29019
Published: 11 April 2024
Summary
CVE-2024-29019 is a high-severity CSRF (CWE-352) vulnerability. Its CVSS base score is 8.1 (High).
Operationally, ranked at the 17.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0825
Vulnerability details
ESPHome is a system to control microcontrollers remotely through Home Automation systems. API endpoints in dashboard component of ESPHome version 2023.12.9 (command line installation) are vulnerable to Cross-Site Request Forgery (CSRF) allowing remote attackers to carry out attacks against a…
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logged user of the dashboard to perform operations on configuration files (create, edit, delete). It is possible for a malicious actor to create a specifically crafted web page that triggers a cross site request against ESPHome, this allows bypassing the authentication for API calls on the platform. This vulnerability allows bypassing authentication on API calls accessing configuration file operations on the behalf of a logged user. In order to trigger the vulnerability, the victim must visit a weaponized page. In addition to this, it is possible to chain this vulnerability with GHSA-9p43-hj5j-96h5/ CVE-2024-27287 to obtain a complete takeover of the user account. Version 2024.3.0 contains a patch for this issue.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.