CVE-2025-53544
Aug. 5, 2025, 2:34 p.m.
7.5
High
Description
Trilium Notes is an open-source, cross-platform hierarchical note taking application with focus on building large personal knowledge bases. In versions below 0.97.0, a brute-force protection bypass in the initial sync seed retrieval endpoint allows unauthenticated attackers to guess the login password without triggering rate limiting. Trilium is a single-user app without a username requirement, and brute-force protection bypass makes exploitation much more feasible. Multiple features provided by Trilium (e.g. MFA, share notes, custom request handler) indicate that Trilium can be exposed to the internet. This is fixed in version 0.97.0.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Trilium |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-307
Improper Restriction of Excessive Authentication Attempts
The product does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it more susceptible to brute force attacks.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | trilium | trilium_notes | <0.97.0 | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: Aug. 5, 2025, 1:15 a.m.
Last Modified: Aug. 5, 2025, 2:34 p.m.
Last Modified: Aug. 5, 2025, 2:34 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.