CVE-2026-44522
NoneCVSS
—
EPSS
0.7%
Published
May 14, 2026
CISA due date
—
The record
Note Mark is an open-source note-taking application. From 0.13.0 to before 0.19.4, the Note Mark application allows authenticated users to upload assets to notes via POST /api/notes/{noteID}/assets, where the asset filename is provided through the X-Name HTTP request header. This value is stored directly in the database without any sanitization or validation - no path separator filtering, no directory traversal sequence rejection, and no use of filepath.Base() to strip directory components. The unsanitized name is persisted as-is in the note_assets table (Name column, varchar(80)). When an administrator subsequently runs the data export CLI commands (note-mark migrate export-v1 or note-mark migrate export), the stored asset name is passed directly into filepath.Join() and path.Join() calls as part of the output file path argument to os.Create(). Since Go's filepath.Join() resolves ../ sequences during path normalization, an attacker-controlled asset name containing directory traversal sequences causes the export process to write files to arbitrary locations on the filesystem, completely outside the intended export directory. This vulnerability is fixed in 0.19.4.
Affected packages
| Ecosystem | Package | Introduced | Fixed |
|---|
Related vulnerabilities
- CVE-2026-113786 pypdf is a free and open-source pure-python PDF library. CWE-20
- CVE-2026-112081 A vulnerability was determined in hankcs HanLP up to 2.1.0-beta.64. CWE-20
- CVE-2026-111869 A vulnerability was identified in makeplane plane up to 1.4.2. CWE-20
- CVE-2026-100347 kin-openapi is a Go project for handling OpenAPI files. CWE-20
- CVE-2026-99999 In the Linux kernel, the following vulnerability has been resolved: ipv4: validate… CWE-20
- CVE-2026-107726 Hazelcast is a unified real-time data platform combining stream processing with a fast… CWE-20
- CVE-2026-105757 vLLM is an inference and serving engine for large language models. CWE-20
- CVE-2026-105756 vLLM is an inference and serving engine for large language models. CWE-20