CVE-2023-40583 in go-libp2p
Summary
by MITRE • 08/26/2023
libp2p is a networking stack and library modularized out of The IPFS Project, and bundled separately for other tools to use. In go-libp2p, by using signed peer records a malicious actor can store an arbitrary amount of data in a remote node’s memory. This memory does not get garbage collected and so the victim can run out of memory and crash. If users of go-libp2p in production are not monitoring memory consumption over time, it could be a silent attack i.e. the attacker could bring down nodes over a period of time (how long depends on the node resources i.e. a go-libp2p node on a virtual server with 4 gb of memory takes about 90 sec to bring down; on a larger server, it might take a bit longer.) This issue was patched in version 0.27.4.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 08/26/2023
The vulnerability described in CVE-2023-40583 affects the go-libp2p networking library, which serves as a foundational component for distributed systems and peer-to-peer networks. This issue arises from the improper handling of signed peer records within the libp2p protocol stack, which is modularized from the IPFS Project and widely adopted by various decentralized applications. The flaw exists in how the system processes and stores peer information, creating a memory exhaustion attack vector that can be exploited by remote malicious actors without requiring authentication or privileged access. The vulnerability specifically targets the memory management mechanisms within go-libp2p's peer record handling functionality, where legitimate signed records can be manipulated to store excessive amounts of data in memory.
The technical implementation of this vulnerability stems from inadequate bounds checking and memory allocation controls when processing peer records. Attackers can craft malicious signed records that contain oversized data payloads, which get stored in the victim node's memory without proper size limitations. This creates a memory leak scenario where allocated memory blocks are not properly released or garbage collected, leading to progressive memory consumption over time. The flaw aligns with CWE-129, which addresses issues related to improper validation of input data length, and CWE-400, which covers resource exhaustion vulnerabilities. The vulnerability demonstrates characteristics of a denial of service attack that can be executed remotely, potentially causing system instability and service disruption.
The operational impact of this vulnerability extends beyond immediate system crashes to include potential long-term service degradation and resource exhaustion attacks. Production systems utilizing go-libp2p are particularly vulnerable when they lack proper memory monitoring and resource management controls, making this attack vector particularly dangerous in environments where nodes operate continuously without oversight. The attack can be conducted silently over extended periods, with the memory consumption gradually increasing until system resources are exhausted. The time required to achieve a complete system crash varies significantly based on available resources, with a 4GB virtual server potentially becoming unresponsive within approximately 90 seconds. This timeline demonstrates the severity of the vulnerability, as it allows for sustained attacks that can go undetected for extended periods, aligning with ATT&CK technique T1499.004 for resource exhaustion attacks.
Mitigation strategies for this vulnerability require immediate patching to version 0.27.4, which addresses the memory handling issues in peer record processing. Organizations should implement comprehensive memory monitoring and alerting systems to detect unusual memory consumption patterns that could indicate exploitation attempts. Additionally, network segmentation and access controls should be implemented to limit potential attack surfaces, while regular security assessments should verify that no other components are vulnerable to similar memory exhaustion attacks. The fix addresses the core memory management issue by implementing proper bounds checking and ensuring that allocated memory is properly released, preventing the accumulation of unbounded data in node memory. Security teams should also consider implementing rate limiting and peer record validation mechanisms to further reduce the risk of exploitation and ensure robust system resilience against similar vulnerabilities.