CVE-2026-107389 (GCVE-0-2026-107389)
Vulnerability from cvelistv5 – Published: 2026-10-08 19:05 – Updated: 2026-10-09 18:32
VLAI
EPSS
VEX
Title
music-metadata: EBML parser trusts element lengths, allowing memory exhaustion or process abort
Summary
music-metadata is a metadata parser for audio and video media files. Prior to 11.16.0, the Matroska and WebM EBML parser decodes an attacker-controlled VINT element length and uses it for string-token or Uint8Array allocation before confirming that the leaf fits within its parent or available input. Crafted WebM, MKV, or MKA inputs can cause disproportionate allocations, out-of-memory denial of service, or, for a demonstrated parseFile path on Node.js 26.7.0, an uncatchable V8 fatal abort. The exact failure mode depends on the tokenizer, parser API, and runtime, but the affected leaf-length validation flaw is shared and has availability impact only. This issue is fixed in version 11.16.0.
Severity
6.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-09 18:32 UTC
CWE
- CWE-789 - Memory Allocation with Excessive Size Value
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/Borewit/music-metadata/securit… | x_refsource_CONFIRM |
| https://github.com/Borewit/music-metadata/pull/2735 | x_refsource_MISC |
| https://github.com/Borewit/music-metadata/commit/… | x_refsource_MISC |
| https://github.com/Borewit/music-metadata/commit/… | x_refsource_MISC |
| https://github.com/Borewit/music-metadata/release… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Borewit | music-metadata |
Affected:
< 11.16.0
|
guessed |
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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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