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membrane_mp4_plugin has an unauthenticated denial-of-service via BEAM atom table exhaustion

Moderate severity GitHub Reviewed Published Jun 11, 2026 in membraneframework/membrane_mp4_plugin • Updated Aug 18, 2026

Package

erlang membrane_mp4_plugin (Erlang)

Affected versions

< 0.36.7

Patched versions

0.36.7

Description

Summary

membrane_mp4_plugin interns every 4-byte MP4 box name as a BEAM atom while parsing container headers, with no validation against an allow-list. Any code path that calls Membrane.MP4.Container.parse/1 (or the bang variant) on attacker-controlled MP4 bytes can be made to exhaust the BEAM atom table, which is uncapped at the source but bounded by the runtime ceiling (around 1,048,576 atoms) and never garbage-collected. Once the ceiling is hit, the entire BEAM node aborts.

Details

The MP4 container parser walks the input stream box-by-box. For each box, Membrane.MP4.Container.Header.parse/1 in lib/membrane_mp4/container/header.ex extracts the 4-byte name field and delegates to the private helper parse_box_name/1, which trims trailing spaces and passes the bytes through String.to_atom/1. Because String.to_atom/1 creates a new atom unconditionally, every distinct attacker-chosen 4-byte sequence becomes a permanent allocation in the global atom table. Atoms are not subject to garbage collection, so unique names accumulate for the lifetime of the node.

The fix replaces the unsafe interning with String.to_existing_atom/1 and treats unknown names as the :unknown atom downstream (with related plumbing in parse_helper.ex, serialize_helper.ex, and the ISOM/CMAF demuxer engines so the new error variant flows through cleanly).

PoC

  1. Generate an MP4-shaped payload of roughly 1.1 million minimal box headers, each 8 bytes long (4-byte size of 8, followed by a unique 4-byte ASCII name produced by enumerating combinations in the printable range).
  2. Concatenate them into a single binary (~8 MB total).
  3. Call Membrane.MP4.Container.parse!/1 on the binary inside any process running under the target BEAM node.
  4. The node aborts once the atom table ceiling is reached.

Impact

An attacker who can get a single crafted MP4 file in front of any system that demuxes user-supplied media with membrane_mp4_plugin can crash the entire BEAM node hosting that pipeline, taking down every Erlang/Elixir application sharing the runtime. No authentication, network position, or user interaction is required beyond delivering the file to whatever processing path eventually calls the parser.

References

References

Published by the National Vulnerability Database Jun 11, 2026
Published to the GitHub Advisory Database Aug 18, 2026
Reviewed Aug 18, 2026
Last updated Aug 18, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Local
Attack Complexity Low
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(3rd percentile)

Weaknesses

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

CVE-2026-53423

GHSA ID

GHSA-43hj-fxwj-49qw

Credits

Dependabot alerts are not supported on some or all of the ecosystems on this advisory.

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