RabbitMQ amqp091-go up to 1.12.x Authentication connection.go Connection.openComplete PlainAuth missing encryption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 2.4 | $0-$5k | 0.45+ |
Summary
A vulnerability classified as problematic has been found in RabbitMQ amqp091-go up to 1.12.x. Impacted is the function Connection.openComplete of the file connection.go of the component Authentication. The manipulation of the argument PlainAuth leads to missing encryption.
This vulnerability is documented as CVE-2026-77407. The attack needs to be performed locally. There is not any exploit available.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in RabbitMQ amqp091-go up to 1.12.x. It has been rated as problematic. This issue affects the function Connection.openComplete of the file connection.go of the component Authentication. The manipulation of the argument PlainAuth with an unknown input leads to a missing encryption vulnerability. Using CWE to declare the problem leads to CWE-311. The product does not encrypt sensitive or critical information before storage or transmission. Impacted is confidentiality. The summary by CVE is:
RabbitMQ amqp091-go is a Go AMQP 0.9.1 client. Prior to 1.13.0, PlainAuth values defined in auth.go retain passwords as exported plaintext fields in Connection.Config.SASL after a successful PLAIN authentication handshake. The Connection.openComplete method in connection.go does not clear those values. Code with access to the Connection object, including reflective loggers, application performance monitoring agents, debugging utilities, and panic handlers, can traverse the configuration and expose the credentials to logs or state captures. The credential remains available for the lifetime of the connection instead of being cleared after authentication. This issue is fixed in version 1.13.0.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-77407 since 08/20/2026. The exploitation is known to be difficult. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1600 according to MITRE ATT&CK.
Upgrading to version 1.13.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 2.5VulDB Meta Temp Score: 2.4
VulDB Base Score: 2.5
VulDB Temp Score: 2.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Missing encryptionCWE: CWE-311 / CWE-310
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: No
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: amqp091-go 1.13.0
Timeline
08/20/2026 CVE reserved09/16/2026 Advisory disclosed
09/16/2026 VulDB entry created
09/16/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-77407 (🔒)
GCVE (CVE): GCVE-0-2026-77407
GCVE (VulDB): GCVE-100-405971
Entry
Created: 09/16/2026 16:58Changes: 09/16/2026 16:58 (70)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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