CVE-2026-61547
9.8 CRITICALpublic exploit availablePublished 2026-11-10 · Updated 2026-11-10
AI risk analysis
- Summary
- A heap buffer overflow in rabbitmq-c prior to v0.17.0 occurs when amqp_send_frame() processes oversized AMQP_FRAME_BODY payloads due to missing length validation in amqp_frame_to_bytes(), enabling out-of-bounds writes that cause crashes or memory corruption.
- Exploitability
- Exploitation requires an attacker-controlled application to pass a maliciously oversized body fragment to the public amqp_send_frame() API, which is unlikely unless the application itself is compromised or misconfigured to accept untrusted frame payloads.
- Blast radius
- Successful exploitation could lead to remote code execution or denial of service for services using rabbitmq-c, potentially affecting any system relying on this library for RabbitMQ communication.
- Detection
- No reliable host or network indicator is derivable from the published description.
- Prioritized remediation
- Upgrade to rabbitmq-c version 0.17.0 or later, which contains the patch that validates body fragment size before copying into the outbound buffer.
Analysis generated locally by garnet-coder (no data left the box). AI-assisted — verify against primary sources before acting.
NVD description
rabbitmq-c is a C-language AMQP client library for RabbitMQ. Prior to version 0.17.0, a heap buffer overflow exists in rabbitmq-c when the public amqp_send_frame() API is used to serialize an oversized AMQP_FRAME_BODY. The issue occurs because amqp_frame_to_bytes() copies frame.payload.body_fragment.len bytes into the connection outbound buffer without validating that the body fragment fits within the allocated frame buffer. An application that passes an oversized body frame to amqp_send_frame() can trigger a heap out-of-bounds write, resulting in process crash and memory corruption. This issue has been patched in version 0.17.0.
CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weaknesses
CWE-787
Public exploit & PoC references
All references
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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