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CVE Record

CVE-2026-32836: mackron / dr_libs dr_flac.h Excessive Memory Allocation in PICTURE Metadata Parsing

dr_libs dr_flac.h version 0.13.3 and earlier (fixed in commits fefced4, 4f5a4cd, and 663239a) contain an uncontrolled memory allocation vulnerability in drflac__read_and_decode_metadata() that allows attackers to trigger excessive memory allocation by supplying crafted PICTURE metadata blocks. Attackers can exploit attacker-controlled mimeLength and descriptionLength fields to cause denial of service through memory exhaustion when processing FLAC streams with metadata callbacks.

MediumCVSS 6.9Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

A flaw in dr_libs dr_flac.h can make software consume excessive memory while reading crafted FLAC picture metadata. The expected business impact is denial of service, not data theft or code execution, based on the provided sources.

Executive priority

Treat as a targeted availability risk. Patch in normal vulnerability cycles, faster for internet-facing or automated media-processing systems that accept untrusted FLAC content.

Technical view

dr_flac.h 0.13.3 and earlier allocate memory from attacker-controlled PICTURE metadata mimeLength and descriptionLength values in drflac__read_and_decode_metadata(). Systems are exposed when applications process crafted FLAC streams with metadata callbacks enabled.

Likely exposure

Exposure is most likely in applications that vendor dr_libs dr_flac.h and process user-supplied FLAC files or streams, especially media ingestion, audio tooling, and server-side metadata processing.

Exploitation context

The source bundle does not show CISA KEV listing or cited active exploitation. The described outcome is memory exhaustion denial of service through malformed FLAC PICTURE metadata, requiring the vulnerable parser to process attacker-controlled input.

Researcher notes

Evidence supports CWE-789 uncontrolled memory allocation in PICTURE metadata parsing. The provided version data is limited to 0.13.3 and earlier plus three fixing commits; no broader product impact is established.

Mitigation direction

  • Update dr_flac.h beyond 0.13.3 using the listed upstream patch commits.
  • Replace vendored copies of dr_flac.h in downstream products and builds.
  • Prioritize systems processing untrusted FLAC files, uploads, or streams.
  • Review vendor guidance before local backports or behavioral workarounds.

Validation and detection

  • Inventory products and repositories containing dr_libs dr_flac.h.
  • Confirm whether the embedded header is 0.13.3 or earlier.
  • Check whether FLAC metadata callbacks are used on untrusted input.
  • Verify patched builds include commits fefced4, 4f5a4cd, and 663239a.
  • Run regression tests for normal FLAC metadata handling after updating.
Prepared
Confidence
high
Sources
7

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

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ATT&CK lookup starting points

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cwe · low confidence lookup

CWE-789: Exact CWE lookup

Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

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cve · low confidence lookup

CVE-2026-32836 mapping review

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Vulnerability profileCVE Program record
Severity
Medium
CVSS
6.9 (4.0)
Known Exploited
No
Published

Vector: CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

2CVSS vectors
3Timeline events
1ADP providers
6Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: noTechnical Impact: partial

CVSS vector scores

2 official scores

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
6.9CVSS 4.0MediumCVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:NVulnCheck
6.2CVSS 3.1MediumCVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H2.53.6VulnCheck

Vulnerability scoring details

Base CVSS 4.0 score

6.9Medium
CVSS 4.0 vector shape for CVE-2026-32836Attack VectorAttack ComplexityAttack RequirementsPrivileges RequiredUser InteractionVS ConfidentialityVS IntegrityVS AvailabilitySS ConfidentialitySS IntegritySS Availability

Vector: CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Attack Requirements
NonePresent
Privileges Required
NoneLowHigh
User Interaction
NonePassiveActive
VS Confidentiality
HighLowNone
VS Integrity
HighLowNone
VS Availability
HighLowNone
SS Confidentiality
HighLowNone
SS Integrity
HighLowNone
SS Availability
HighLowNone

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  2. CVE publishedCVE Program

    The CVE record was published.

  3. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
other:ssvc
Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
mackrondr_libs dr_flac.h0, fefced4a64adfb1a68a2d31d882366e56096dee8, 4f5a4cd3b57564d969443c580c75857e039f100a, 663239a3d0460c33bd5b6e5166edcb404e3df676unknown
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-789 · source CWE mapping

Memory Allocation with Excessive Size Value

Memory Allocation with Excessive Size Value represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.