CVE-2017-17833 in OpenSLP
Summary
by MITRE
OpenSLP releases in the 1.0.2 and 1.1.0 code streams have a heap-related memory corruption issue which may manifest itself as a denial-of-service or a remote code-execution vulnerability.
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Analysis
by VulDB Data Team • 03/03/2023
The vulnerability identified as CVE-2017-17833 affects OpenSLP versions 1.0.2 and 1.1.0, representing a critical heap-based memory corruption flaw that poses significant security risks to affected systems. This issue stems from improper memory management within the Service Location Protocol implementation, specifically within the SLP daemon component that handles service discovery and registration functions. The vulnerability manifests as a heap overflow condition that can occur when processing malformed SLP messages or service advertisements, creating opportunities for adversaries to exploit the memory corruption for malicious purposes.
The technical flaw in CVE-2017-17833 operates through a classic heap buffer overflow mechanism where the SLP daemon fails to properly validate input data lengths before copying data into fixed-size heap buffers. This vulnerability falls under CWE-121, heap-based buffer overflow, and represents a fundamental memory safety issue that can be exploited through crafted SLP packets sent to vulnerable services. The flaw is particularly dangerous because it can be triggered during normal service discovery operations, making it difficult to distinguish between legitimate traffic and malicious payloads. When exploited, the heap corruption can lead to arbitrary code execution or system crashes, depending on the specific memory corruption patterns and the target operating system's memory management characteristics.
The operational impact of this vulnerability extends beyond simple denial-of-service scenarios to encompass full system compromise potential, as demonstrated by the remote code execution capabilities that can be achieved through careful exploitation of the heap corruption. Systems running OpenSLP versions 1.0.2 and 1.1.0 that are exposed to untrusted network traffic become vulnerable to attacks targeting the SLP daemon, which is commonly used in enterprise environments for service location and network discovery. The vulnerability affects both Windows and Unix-like systems where OpenSLP is deployed, creating widespread exposure across different platform environments. Network-based attacks can be particularly effective as they require minimal privileges and can be executed against services that are typically exposed to external networks.
Mitigation strategies for CVE-2017-17833 should prioritize immediate patching of affected OpenSLP installations to versions that address the heap buffer overflow conditions. Organizations should implement network segmentation to limit exposure of SLP services to untrusted networks and consider disabling SLP functionality where it is not essential to business operations. The remediation process should include thorough network scanning to identify all affected systems and implementation of intrusion detection rules that can identify potential exploitation attempts targeting the SLP daemon. Additionally, system hardening measures such as disabling unnecessary SLP services, implementing proper access controls, and monitoring for unusual SLP traffic patterns can help reduce the attack surface and detection capabilities for potential exploitation attempts.
This vulnerability aligns with ATT&CK technique T1071.004 for application layer protocol usage and demonstrates how service location protocols can be leveraged for privilege escalation and lateral movement within networks. The vulnerability also represents a common pattern in network service implementations where insufficient input validation leads to memory corruption issues, making it a prime example of how fundamental security practices such as input sanitization and memory bounds checking can prevent such critical flaws from being exploited in production environments.