PYSEC-2026-3429
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/xiaomusic/PYSEC-2026-3429.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2026-3429
- Aliases
- Published
- 2026-07-13T15:19:14.099607Z
- Modified
- 2026-07-13T16:33:27.875002678Z
- Severity
-
- 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N CVSS Calculator
- 8.7 (High) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N CVSS Calculator
- Summary
- xiaomusic contains an unauthenticated path traversal vulnerability
- Details
-
xiaomusic v0.5.7 contains an unauthenticated path traversal vulnerability in the GET /music/{filepath:path} endpoint that allows unauthenticated attackers to read arbitrary files outside the intended music directory by exploiting an incomplete path prefix check. Attackers can request files from sibling directories whose names share the musicpath prefix by crafting traversal sequences, bypassing the path restriction due to the missing trailing separator in the comparison logic to retrieve arbitrary files from the server.
- References
-
- https://nvd.nist.gov/vuln/detail/CVE-2026-10108
- https://github.com/hanxi/xiaomusic/issues/890
- https://github.com/hanxi/xiaomusic/pull/891
- https://github.com/hanxi/xiaomusic/commit/88404da7a283f2c0a796a4cd16bbb6e6aa1f4722
- https://github.com/hanxi/xiaomusic
- https://www.vulncheck.com/advisories/xiaomusic-path-traversal-via-get-music-endpoint
- https://pypi.org/project/xiaomusic
- https://github.com/advisories/GHSA-5j8p-5rrj-8wjg
Affected packages
PyPI / xiaomusic
Package
- Name
- xiaomusic
- View open source insights on deps.dev
- Purl
- pkg:pypi/xiaomusic
Affected ranges
- Type
- ECOSYSTEM
- Events
-
Introduced0Unknown introduced version / All previous versions are affectedFixed0.5.8
Affected versions
0.*
0.1.0
0.1.1
0.1.2
0.1.3
0.1.4
0.1.5
0.1.6
0.1.7
0.1.8
0.1.9
0.1.10
0.1.11
0.1.12
0.1.13
0.1.14
0.1.15
0.1.16
0.1.17
0.1.18
0.1.19
0.1.20
0.1.21
0.1.22
0.1.23
0.1.24
0.1.25
0.1.26
0.1.27
0.1.28
0.1.29
0.1.30
0.1.31
0.1.32
0.1.33
0.1.34
0.1.35
0.1.36
0.1.37
0.1.38
0.1.39
0.1.40
0.1.41
0.1.43
0.1.44
0.1.45
0.1.46
0.1.47
0.1.48
0.1.49
0.1.51
0.1.52
0.1.53
0.1.54
0.1.55
0.1.56
0.1.57
0.1.58
0.1.59
0.1.60
0.1.61
0.1.62
0.1.63
0.1.64
0.1.65
0.1.66
0.1.67
0.1.68
0.1.69
0.1.70
0.1.71
0.1.72
0.1.73
0.1.74
0.1.75
0.1.76
0.1.77
0.1.78
0.1.79
0.1.80
0.1.81
0.1.82
0.1.83
0.1.84
0.1.85
0.1.86
0.1.87
0.1.88
0.1.89
0.1.90
0.1.91
0.1.92
0.1.93
0.1.94
0.1.95
0.1.96
0.1.97
0.1.98
0.1.99
0.1.100
0.1.101
0.2.0
0.3.0
0.3.1
0.3.2
0.3.3
0.3.4
0.3.5
0.3.6
0.3.7
0.3.8
0.3.9
0.3.10
0.3.11
0.3.12
0.3.13
0.3.14
0.3.15
0.3.16
0.3.17
0.3.18
0.3.19
0.3.20
0.3.21
0.3.22
0.3.23
0.3.24
0.3.25
0.3.26
0.3.27
0.3.28
0.3.29
0.3.30
0.3.31
0.3.32
0.3.33
0.3.34
0.3.35
0.3.36
0.3.37
0.3.38
0.3.39
0.3.40
0.3.41
0.3.42
0.3.43
0.3.44
0.3.45
0.3.46
0.3.47
0.3.48
0.3.49
0.3.50
0.3.51
0.3.52
0.3.53
0.3.54
0.3.55
0.3.56
0.3.57
0.3.58
0.3.60
0.3.61
0.3.62
0.3.63
0.3.64
0.3.65
0.3.66
0.3.67
0.3.68
0.3.69
0.3.70
0.3.71
0.3.72
0.3.73
0.3.74
0.3.75
0.3.76
0.3.77
0.3.78
0.3.79
0.3.80
0.3.81
0.3.82
0.3.83
0.3.84
0.3.85
0.3.86
0.3.87
0.3.88
0.3.89
0.3.90
0.3.91
0.3.98
0.3.99
0.3.100
0.3.101
0.3.102
0.4.0
0.4.1
0.4.2
0.4.4
0.4.5
0.4.6
0.4.7
0.4.8
0.4.9
0.4.10
0.4.11
0.4.12
0.4.13
0.4.14
0.4.15
0.4.16
0.4.17
0.4.18
0.4.19
0.4.20
0.4.21
0.4.22
0.4.23
0.4.24
0.4.25
0.4.26
0.5.0
0.5.1
0.5.2
0.5.3
0.5.4
0.5.5
0.5.6
0.5.7