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RabbitMQ amqp091-go: Plaintext Credential Exposure via Exported PLAIN Authentication Struct Fields

High severity GitHub Reviewed Published Jul 22, 2026 in rabbitmq/amqp091-go • Updated Sep 17, 2026

Package

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

Affected versions

< 1.13.0

Patched versions

1.13.0

Description

Summary

An information disclosure vulnerability exists in the AMQP client implementation's authentication handling configuration. Following a successful connection handshake, the Connection.Config.SASL field stores the Authentication implementation state used to establish the session.

For standard PLAIN authentication, this state utilizes the PlainAuth struct, which defines both Username and Password as publicly exported, plaintext string fields. Because this sensitive data is retained permanently in-memory within an exported field structure, any peripheral code, internal package, reflective logger, dependency, or automated debugging utility with access to the core *Connection object can read and expose the raw credentials.


Vulnerability Details

Mechanism

The vulnerability stems from the structural design of the configuration storage used during and after the AMQP handshake:

// auth.go:21-23
type PlainAuth struct {
    Username string
    Password string  // exported plaintext
}

When an application initializes a connection, the PlainAuth object is deeply nested inside the configuration structure (Connection.Config). Even after the handshake concludes and authentication is complete, this structure persists natively in-memory for the duration of the network connection's lifecycle.

Because Password is an exported string field, standard automated inspection mechanisms can read its value without restriction.

Affected Code Paths & Integrations

Any sub-component or library that traverses or reads the *Connection object will inadvertently read the plaintext password, including:

  • Reflective Loggers: Structured logging frameworks that serialize nested configuration structs into JSON/Log formats.
  • APM & Performance Agents: Automated telemetry or Application Performance Monitoring tools that capture state snapshots.
  • Debugging & Panic Handlers: Mid-tier software or dump libraries designed to capture goroutine state or print deep struct hierarchies upon program errors or signals.

Impact

The credential remains vulnerable to leak paths into logging pipelines, log aggregators, security information and event management (SIEM) systems, or standard output. Once transmitted to external log infrastructure, these credentials become accessible to unprivileged operators or any actor with access to log archives.


Attack Vector

An attacker does not necessarily need direct remote code execution to exploit this flaw; instead, the vulnerability acts as a credential harvesting vector inside multi-tenant environments or via secondary log exposure:

  1. Configuration Dump: An operator configures a standard reflective logger or third-party APM package to capture system state parameters, including the active AMQP *Connection object.
  2. Reflective Access: The inspection engine uses Go's reflect package to walk the structural hierarchy, pulling the string value from Connection.Config.SASL.(*PlainAuth).Password.
  3. Exfiltration: The plaintext password is written to standard system logs, which are then scraped into shared logging aggregators, exposing production infrastructure credentials to a wider audience.

References

@suchitd suchitd published to rabbitmq/amqp091-go Jul 22, 2026
Published by the National Vulnerability Database Sep 16, 2026
Published to the GitHub Advisory Database Sep 17, 2026
Reviewed Sep 17, 2026
Last updated Sep 17, 2026

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 Local
Attack Complexity Low
Attack Requirements Present
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality High
Integrity Low
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:L/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:H/SI:L/SA:L

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.
(2nd percentile)

Weaknesses

Cleartext Storage of Sensitive Information in Memory

The product stores sensitive information in cleartext in memory. Learn more on MITRE.

CVE ID

CVE-2026-77407

GHSA ID

GHSA-27gv-rfvv-22mv

Source code

Credits

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