CVE-2024-27569 in T300-T390
Summary
by MITRE • 03/01/2024
LBT T300-T390 v2.2.1.8 were discovered to contain a stack overflow via the ApCliSsid parameter in the init_nvram function. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted POST request.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 08/19/2024
The vulnerability identified as CVE-2024-27569 affects LBT T300-T390 devices running firmware version 2.2.1.8, representing a critical stack overflow condition that stems from improper input validation within the init_nvram function. This flaw specifically targets the ApCliSsid parameter, which serves as a critical configuration element for wireless access point client connections. The vulnerability exists due to inadequate bounds checking and memory management practices during parameter processing, creating an exploitable condition where malicious input can overwrite adjacent memory locations on the stack. The affected device operates within enterprise and industrial networking environments where reliable network connectivity is paramount, making this vulnerability particularly dangerous as it can be leveraged to disrupt critical operations.
The technical exploitation of this vulnerability occurs through a crafted POST request that deliberately overflows the stack buffer allocated for the ApCliSsid parameter. When the device processes this malformed request, the excessive input causes the stack pointer to overwrite adjacent memory regions including return addresses and local variables. This stack overflow condition results in unpredictable program behavior and ultimately leads to a device crash or complete system hang. The vulnerability manifests as a denial of service condition that can be triggered remotely without requiring authentication, making it particularly dangerous for networked environments where these devices are exposed to external traffic. The flaw directly maps to CWE-121 Stack-based Buffer Overflow, which is classified under the broader category of memory safety issues that have been consistently identified as high-risk vulnerabilities in network infrastructure devices.
From an operational perspective, this vulnerability poses significant risks to organizations relying on LBT T300-T390 devices for their networking infrastructure, particularly in industrial control systems, smart grid deployments, and enterprise environments where continuous network availability is critical. The remote exploit capability means that attackers can trigger the denial of service condition from anywhere on the network, potentially causing widespread disruption to connected services. The impact extends beyond simple service interruption as these devices often serve as critical communication bridges in IoT deployments, industrial automation systems, and network edge devices where availability is mission-critical. Organizations may experience cascading failures if dependent systems rely on the affected devices for connectivity, particularly in scenarios where network segmentation and redundancy mechanisms fail to prevent exploitation.
Security mitigations for this vulnerability should focus on immediate firmware updates provided by the vendor, which typically include input validation fixes and stack buffer protections. Network administrators should implement strict access controls and firewall rules to limit exposure to untrusted networks, particularly blocking external access to the device management interfaces. The vulnerability aligns with ATT&CK technique T1499.004 for Network Denial of Service, which emphasizes the importance of protecting network infrastructure from remote exploitation. Additional defensive measures include implementing intrusion detection systems to monitor for suspicious POST request patterns and establishing network segmentation to limit the blast radius of potential exploitation. Organizations should also conduct comprehensive vulnerability assessments of their entire network infrastructure to identify similar vulnerable devices that may be susceptible to analogous stack overflow conditions, as this represents a common class of vulnerability in embedded networking devices that often lack proper memory safety mechanisms.