CVE-2026-57220
RabbitMQ: Stream listener does not enforce configured frame-size limit during authentication, permitting unauth'd mem-exhaust DoS
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.
No summary for this CVE yet.
CVSS Vector Breakdown
Exploitability
AV:NAttack VectorNetwork
AC:LAttack ComplexityLow
PR:NPrivileges RequiredNone
UI:NUser InteractionNone
Scope
S:UScopeUnchanged
Impact
C:NConfidentialityNone
I:NIntegrityNone
A:HAvailabilityHigh
Weaknesses
Affected Products
rabbitmq
oss-project·GBaka rabbitmq-server
broadcom
commercial·USaka broadcom inc
rabbitmq serverOn-prem
Cloud & SaaSExploitability
Official Patch Available
Attack Graph
Products CVE Techniques Tactics
Click technique nodes for MITRE ATT&CK details · drag to pan · Ctrl/⌘ + scroll to zoom, or go fullscreen.
MITRE ATT&CK
1 technique Impact
References
https://github.com/rabbitmq/rabbitmq-server/security/advisories/GHSA-f364-87q5-j35q
github.com
https://github.com/rabbitmq/rabbitmq-server/pull/16171
github.com
https://github.com/rabbitmq/rabbitmq-server/pull/16173
github.com
and 3 more references View all →
Unlock Complete Vulnerability Intelligence
Get the full picture for CVE-2026-57220 and every CVE in our database. Create a free account — no credit card required.
Create Free AccountPlain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows
