CVE-2015-2312 in Cap'n Proto
Summary
by MITRE
Sandstorm Cap'n Proto before 0.4.1.1 and 0.5.x before 0.5.1.1 allows remote peers to cause a denial of service (CPU and possibly general resource consumption) via a list with a large number of elements.
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Analysis
by VulDB Data Team • 12/15/2022
The vulnerability identified as CVE-2015-2312 affects Sandstorm Cap'n Proto, a high-performance serialization framework designed for efficient data exchange in distributed systems. This issue manifests as a denial of service condition that can be triggered remotely by malicious peers, potentially consuming excessive CPU resources and general system memory. The flaw specifically targets versions prior to 0.4.1.1 and 0.5.1.1, indicating that the developers had not yet implemented proper bounds checking or resource limiting mechanisms for handling large data structures. The vulnerability stems from inadequate validation of list elements during deserialization processes, allowing attackers to craft specially malformed data that causes the system to consume disproportionate computational resources when processing these structures.
The technical root cause of this vulnerability aligns with CWE-400, which addresses unchecked resource consumption in software systems. When the Cap'n Proto library processes a list containing an excessive number of elements, it fails to implement proper bounds checking or resource allocation limits. This allows an attacker to send a malicious payload containing a list with thousands or millions of elements, causing the receiving system to allocate memory and consume CPU cycles in an unbounded manner. The attack vector operates through the standard deserialization process where remote peers can transmit crafted data structures that trigger the resource exhaustion condition. The vulnerability demonstrates poor input validation practices that are common in systems handling untrusted data streams, particularly in distributed computing environments where data integrity and resource management are critical concerns.
From an operational impact perspective, this vulnerability presents significant risks to systems relying on Sandstorm Cap'n Proto for communication between distributed components. The denial of service condition can affect not only the immediate target application but potentially cascade to impact entire service availability, especially in systems where multiple services depend on the same communication framework. The resource consumption pattern suggests that attackers can cause sustained performance degradation rather than simple system crashes, making the attack more difficult to detect and mitigate. In production environments, this vulnerability could be exploited to disrupt service availability, cause system instability, or even enable more sophisticated attacks by exhausting system resources and preventing legitimate operations from completing successfully.
The mitigation strategy for CVE-2015-2312 primarily involves upgrading to patched versions of Sandstorm Cap'n Proto, specifically versions 0.4.1.1 or 0.5.1.1 and later. Organizations should implement comprehensive patch management procedures to ensure all systems using this framework receive the necessary updates promptly. Additionally, network-level controls can be implemented to limit the size of data packets or connections that can be processed, providing an additional layer of protection against malformed data. The vulnerability also highlights the importance of implementing proper input validation and resource limits in all serialization frameworks, aligning with ATT&CK technique T1499.001 for resource exhaustion attacks. System administrators should consider implementing monitoring and alerting mechanisms to detect unusual CPU or memory consumption patterns that might indicate exploitation attempts. Organizations using Cap'n Proto should also review their security practices to ensure that all data processing components include proper bounds checking and that resource allocation is appropriately limited to prevent similar vulnerabilities from occurring in other parts of their distributed systems architecture.