CVE-2026-32011 in OpenClaw
Summary
by MITRE • 03/20/2026
OpenClaw versions prior to 2026.3.2 contain a denial of service vulnerability in webhook handlers for BlueBubbles and Google Chat that parse request bodies before performing authentication and signature validation. Unauthenticated attackers can exploit this by sending slow or oversized request bodies to exhaust parser resources and degrade service availability.
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Analysis
by VulDB Data Team • 03/25/2026
This vulnerability resides in the OpenClaw software ecosystem, specifically affecting versions prior to 2026.3.2, where the webhook processing handlers for BlueBubbles and Google Chat implementations exhibit a critical design flaw in their request handling sequence. The core technical issue manifests as a violation of proper security protocol ordering where the system parses incoming request bodies before executing authentication and signature validation checks. This architectural weakness creates an exploitable condition that directly contradicts fundamental security principles outlined in the Open Web Application Security Project (OWASP) Top Ten and the CWE-400 vulnerability category, which specifically addresses unchecked resource consumption. The vulnerability represents a classic case of improper input validation and resource management where the parser operates without first establishing the legitimacy of the request source.
The operational impact of this vulnerability extends beyond simple service disruption to encompass a comprehensive denial of service scenario that can be executed by unauthenticated attackers with minimal technical expertise. Attackers can exploit this weakness by crafting malicious requests containing either slow data streams or oversized payload content that forces the webhook handlers to consume excessive computational resources during the parsing phase. This resource exhaustion occurs because the system allocates memory and processing cycles to parse potentially malicious content before verifying the request's authenticity, creating a window where system resources become unavailable for legitimate operations. The vulnerability directly maps to the ATT&CK technique T1499.004, which describes network denial of service attacks that target resource exhaustion, and represents a significant threat to availability as defined by the CIA triad.
The exploitation mechanism leverages the fundamental principle that request body parsing should occur only after successful authentication and validation, a practice that prevents resource waste on potentially malicious inputs. When attackers send requests with slow data streams, they can maintain connections for extended periods while consuming memory buffers, while oversized payloads can trigger memory allocation failures or cause the system to crash due to exceeding available resources. This vulnerability affects both BlueBubbles and Google Chat webhook implementations within OpenClaw, suggesting a systemic issue in how these integrations handle incoming requests rather than isolated component failures. Organizations utilizing affected versions face significant risk of service degradation or complete unavailability, particularly in environments where webhook traffic represents critical operational pathways.
Mitigation strategies should focus on implementing proper request ordering protocols where authentication and signature validation occur before any body parsing activities. The recommended solution involves updating to OpenClaw version 2026.3.2 or later, which contains the necessary fixes to reorder the request processing sequence. Additionally, organizations should implement rate limiting and request size restrictions at the network level to prevent abuse of the vulnerability, while also considering implementing circuit breaker patterns to protect against prolonged resource exhaustion scenarios. The fix should align with security best practices established in NIST SP 800-42 and ISO/IEC 27001 frameworks, ensuring that the system maintains proper resource allocation and authentication flow. Security teams should also monitor for potential exploitation attempts through network traffic analysis and implement intrusion detection systems to identify suspicious patterns of slowloris-style attacks targeting the affected webhook endpoints.