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Denial of Service via Synchronous Event Channel Blocking

High
suchitd published GHSA-wxx3-cj7g-w73j Jul 22, 2026

Package

gomod github.com/rabbitmq/amqp091-go (Go)

Affected versions

<1.13.0

Patched versions

1.13.0

Description

Summary

A structural Denial of Service (DoS) vulnerability exists in the AMQP client implementation's event dispatch architecture. The single, internal reader goroutine responsible for processing all incoming network frames dispatches event notifications to user-allocated channels synchronously.

If a client application registers an unbuffered or inadequately buffered channel for notifications (such as publisher confirmations, flow control, consumer cancellations, or connection blocks), a burst of events from the AMQP server will cause the reader goroutine to block indefinitely while waiting for the application to drain the channel. This completely halts the connection's frame-processing loop, leading to connection timeouts, missed heartbeats, and client-side deadlocks.

Vulnerability Details

The AMQP client utilizes a central reader goroutine to ingest frames from the network socket and route them to their respective handlers. However, several critical event notification paths transmit data directly to client-provided channels within this single goroutine's execution thread:

// confirms.go:64-66
for _, l := range c.listeners {
    l <- confirmation  // BLOCKS the entire reader goroutine if the channel buffer is full
}

Because the send operation l <- confirmation is synchronous and lacks a timeout or select-default fallback, the entire connection multiplexer relies on the promptness of the application-level consumer.

Affected Dispatch Paths

The vulnerability propagates across multiple event-handling subsystems:

  • Publisher Confirms: confirms.confirm() -> l <- confirmation (confirms.go:65)
  • Channel Flow Controls: channelFlow -> c <- m.Active (channel.go:370)
  • Consumer Cancellations: basicCancel -> c <- m.ConsumerTag (channel.go:380)
  • Returned Messages: basicReturn -> c <- *ret (channel.go:388)
  • Connection Block/Unblock States: connectionBlocked/Unblocked -> c <- Blocking{...} (connection.go:849, 853)

Impact

When the reader goroutine blocks, all low-level protocol operations for that network connection cease entirely. The client stops responding to server heartbeats, fails to process incoming ACKs/NACKs, and cannot read new message deliveries. Ultimately, the AMQP broker will drop the connection due to missing heartbeats, resulting in application disruption and connection instability.


Attack Vector

An attacker capable of influencing broker activity (or a malicious broker) can intentionally trigger this condition to force client disconnection or message processing stagnation:

  1. Targeting Publisher Confirms: An application registers a NotifyConfirm channel with a standard buffer size of 1.
  2. Event Burst: The server or an attacker flooding a queue causes the broker to emit a swift burst of acknowledgments (e.g., 100 ACKs).
  3. Denial of Service: The client application fails to read from the channel faster than the burst arrival rate. The internal reader goroutine blocks on the second acknowledgment, freezing the entire connection until the heartbeat interval expires and the broker forcefully tears down the socket.

Severity

High

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 Network
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 Low

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:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L

CVE ID

CVE-2026-77409

Weaknesses

No CWEs

Credits