CVE-2026-16161 in DataPower Gateway
Summary
by MITRE • 10/08/2026
IBM DataPower Gateway 10.5.0.0 through 10.5.0.22, 10.6.1 through 10.6.6, 10.6.0.0 through 10.6.0.10, and 11.0.0.0 through 11.0.0.2 could allow a remote attacker to cause a denial of service due to an out-of-bounds read.
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Analysis
by VulDB Data Team • 10/08/2026
The vulnerability identified in IBM DataPower Gateway versions ranging from 10.5.0.0 through 10.5.0.22, 10.6.1 through 10.6.6, 10.6.0.0 through 10.6.0.10, and 11.0.0.0 through 11.0.0.2 represents a critical security flaw classified as an out-of-bounds read. This type of vulnerability falls under the Common Weakness Enumeration category CWE-125, which describes situations where software reads data past the end or before the beginning of the intended buffer. In the context of IBM DataPower Gateway, this architectural weakness allows for unauthorized memory access that can destabilize the application's execution environment without necessarily granting direct code execution capabilities to an attacker immediately.
IBM DataPower Gateway serves as a high-performance appliance designed for service virtualization and security in enterprise environments. It handles complex integration tasks including API management, web services gateway functions, and message routing across hybrid cloud infrastructures. Because it sits at the perimeter of many corporate networks processing sensitive transactional data, any instability caused by malformed input can have severe operational consequences. The specific flaw involves improper validation or boundary checking when parsing incoming requests or messages. When a remote attacker crafts a malicious payload that triggers this out-of-bounds read condition, the application attempts to access memory locations outside its allocated buffer space.
The primary impact of this vulnerability is a denial of service against the IBM DataPower Gateway instance. Depending on how the underlying operating system and runtime environment handle illegal memory accesses, an out-of-bounds read can lead to immediate process termination, core dumps, or indefinite hanging of the application thread. For organizations relying on continuous availability for their digital services, such disruptions result in significant downtime, loss of connectivity for downstream systems, and potential revenue impact due to interrupted business processes. While some implementations might leak sensitive information from adjacent memory regions via side-channel effects, the primary reported risk remains service disruption rather than data exfiltration or privilege escalation.
From a threat actor perspective, this vulnerability aligns with ATT&CK technique T1498 Network Denial of Service, specifically sub-techniques involving resource exhaustion through application layer attacks. An attacker could automate the generation and transmission of crafted packets to repeatedly trigger the flaw, effectively creating a persistent denial-of-service condition that is difficult to mitigate without patching or specific traffic filtering rules. The remote nature of this exploit means it can be leveraged over standard network protocols such as HTTP, HTTPS, SOAP, or other message formats supported by DataPower, requiring no prior authentication in many configuration scenarios where public-facing endpoints are exposed.
Mitigation strategies must prioritize the immediate application of vendor-supplied patches to bring all affected instances up to a version that resolves this memory safety issue. Organizations should verify their inventory against the specified vulnerable ranges and schedule maintenance windows for updates during periods of low traffic if possible. In environments where patching is not immediately feasible, network-level controls such as Web Application Firewalls or intrusion prevention systems can be configured to detect and block anomalous request patterns associated with buffer overflow attempts. Additionally, enabling strict input validation policies within the gateway configuration itself may help reduce the attack surface by rejecting malformed messages before they reach the vulnerable code paths.
Long-term remediation involves adopting secure coding practices that enforce rigorous bounds checking in all memory access operations. Developers should utilize static analysis tools and fuzzing techniques during the software development lifecycle to identify similar weaknesses before deployment. For existing deployments, continuous monitoring of system logs for signs of process crashes or abnormal resource consumption can provide early detection indicators. It is also advisable to segment critical gateway instances from less secure network zones using micro-segmentation strategies to limit lateral movement potential if other vulnerabilities are discovered in the future. Regular security assessments and penetration testing should be conducted to ensure that such memory safety issues do not persist across the organization's infrastructure portfolio.