CVE-2026-49127 (GCVE-0-2026-49127)
Vulnerability from cvelistv5 – Published: 2026-05-28 18:59 – Updated: 2026-07-28 01:49 X_Open Source
VLAI
EPSS
VEX
Title
Music Player Daemon < 0.24.11 Stack Buffer Overflow via pcm_unpack_24be
Summary
Music Player Daemon (MPD) before version 0.24.11 contains a stack buffer overflow vulnerability in the pcm_unpack_24be function in src/pcm/Pack.cxx that allows unauthenticated attackers to corrupt stack memory by triggering an off-by-one write in the PCM decoder plugin. Attackers can issue two MPD commands referencing a malicious HTTP audio source to cause the unpack loop to write 1366 entries into a 1365-entry buffer, overwriting four bytes past the array boundary with three attacker-controlled bytes from an HTTP response body, resulting in daemon termination or potential code execution.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-29 19:14 UTC
CWE
- CWE-193 - Off-by-one Error
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://mstreet97.github.io/security-research/ope… | technical-descriptionexploit |
| https://www.musicpd.org/news/2026/05/mpd-0-24-11-… | release-notespatch |
| https://raw.githubusercontent.com/MusicPlayerDaem… | release-notes |
| https://github.com/MusicPlayerDaemon/MPD/releases… | release-notes |
| https://github.com/MusicPlayerDaemon/MPD/issues/2485 | issue-tracking |
| https://github.com/MusicPlayerDaemon/MPD/commit/5… | patch |
| https://www.vulncheck.com/advisories/music-player… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MusicPlayerDaemon | MPD |
Affected:
0 , < 0.24.11
(semver)
cpe:2.3:a:musicpd:music_player_daemon:*:*:*:*:*:*:*:* |
Date Public
2026-05-15 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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