CVE-2026-57220: CWE-770: Allocation of Resources Without Limits or Throttling in rabbitmq rabbitmq-server
RabbitMQ is a messaging and streaming broker. Prior to 4.2.6, the RabbitMQ stream listener does not enforce the configured stream frame-size limit while assembling frames during authentication and before Tune negotiation, allowing an unauthenticated remote client to declare oversized frame lengths and consume broker memory in rabbit_stream_core. This issue is fixed in version 4.2.6.
AI Analysis
Technical Summary
CVE-2026-57220 is a resource allocation vulnerability (CWE-770) in rabbitmq-server before version 4.2.6. The RabbitMQ stream listener does not enforce the configured stream frame-size limit while assembling frames during the authentication phase and before Tune negotiation. This allows an unauthenticated remote attacker to send frames with oversized lengths, causing excessive memory consumption in the broker's stream core component (rabbit_stream_core). This can lead to denial of service due to resource exhaustion. The vulnerability is resolved in version 4.2.6.
Potential Impact
An unauthenticated remote attacker can exploit this vulnerability to cause excessive memory consumption on the RabbitMQ broker, potentially leading to denial of service conditions. There is no impact on confidentiality or integrity according to the CVSS vector, but availability is rated high impact.
Mitigation Recommendations
Upgrade RabbitMQ server to version 4.2.6 or later, where this vulnerability is fixed. No other mitigation or workaround is indicated. Patch status is confirmed by the vendor stating the issue is fixed in 4.2.6.
CVE-2026-57220: CWE-770: Allocation of Resources Without Limits or Throttling in rabbitmq rabbitmq-server
Description
RabbitMQ is a messaging and streaming broker. Prior to 4.2.6, the RabbitMQ stream listener does not enforce the configured stream frame-size limit while assembling frames during authentication and before Tune negotiation, allowing an unauthenticated remote client to declare oversized frame lengths and consume broker memory in rabbit_stream_core. This issue is fixed in version 4.2.6.
CVSS v3.1
Score 7.5high
Affected software
pkg:github/rabbitmq/rabbitmq-serverRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-57220 is a resource allocation vulnerability (CWE-770) in rabbitmq-server before version 4.2.6. The RabbitMQ stream listener does not enforce the configured stream frame-size limit while assembling frames during the authentication phase and before Tune negotiation. This allows an unauthenticated remote attacker to send frames with oversized lengths, causing excessive memory consumption in the broker's stream core component (rabbit_stream_core). This can lead to denial of service due to resource exhaustion. The vulnerability is resolved in version 4.2.6.
Potential Impact
An unauthenticated remote attacker can exploit this vulnerability to cause excessive memory consumption on the RabbitMQ broker, potentially leading to denial of service conditions. There is no impact on confidentiality or integrity according to the CVSS vector, but availability is rated high impact.
Mitigation Recommendations
Upgrade RabbitMQ server to version 4.2.6 or later, where this vulnerability is fixed. No other mitigation or workaround is indicated. Patch status is confirmed by the vendor stating the issue is fixed in 4.2.6.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-06-24T02:21:33.810Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a515a8d68715ace432d835b
Added to database: 07/10/2026, 20:48:13 UTC
Last enriched: 07/18/2026, 15:37:20 UTC
Last updated: 08/24/2026, 01:47:27 UTC
Views: 114
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.