CVE-2026-73791 in Hpjmeter
Summary
by MITRE • 10/14/2026
A security vulnerability in HPE NonStop Hpjmeter can cause stack and heap buffer overflow.
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Analysis
by VulDB Data Team • 10/15/2026
The HPE NonStop operating system includes a component known as hpjmeter, which serves as a performance monitoring tool designed to collect and report metrics regarding system resource utilization and application behavior. This utility is integral for administrators seeking to maintain optimal performance and identify bottlenecks within the complex environment of an HPE NonStop server. The vulnerability identified in this specific component stems from improper validation of input data lengths relative to allocated memory buffers, leading directly to stack and heap buffer overflow conditions. These types of flaws occur when a program writes more data to a fixed-length block of memory than it can hold, causing the excess data to overwrite adjacent memory locations. In the context of hpjmeter, this flaw is triggered during the processing of specific performance metrics or configuration inputs that exceed expected boundaries without adequate bounds checking by the application logic.
From a technical perspective, stack buffer overflows typically corrupt local variables and return addresses on the call stack, potentially allowing an attacker to hijack control flow and execute arbitrary code with the privileges of the compromised process. Heap buffer overflows, conversely, affect dynamically allocated memory regions and can lead to corruption of heap metadata or adjacent objects, which may also be exploited for remote code execution depending on the allocator's behavior and available exploitation techniques. The presence of both stack and heap overflow vectors within hpjmeter significantly expands the attack surface, as different input paths might trigger either type of vulnerability. This dual nature suggests that the flaw is not isolated to a single function but represents a systemic issue in how user-supplied or externally sourced data is handled throughout various modules of the performance monitoring utility.
The operational impact of this vulnerability is severe, particularly given the privileged nature of system administration tools on HPE NonStop platforms. An authenticated attacker with access to hpjmeter could exploit these buffer overflows to achieve arbitrary code execution within the context of the service running the tool. This effectively grants full control over the underlying operating system instance, enabling data exfiltration, modification of critical system files, or use as a pivot point for further lateral movement across the network. Since performance monitoring tools often run with elevated privileges to access low-level kernel metrics, successful exploitation compromises not only the integrity and confidentiality of the host but also potentially undermines the security posture of dependent applications running on that infrastructure.
This vulnerability aligns closely with Common Weakness Enumeration (CWE) identifiers such as CWE-120 Buffer Copy without Checking Size of Input Classic Buffer Overflow for stack-based issues, and CWE-122 Heap-Based Buffer Overflow for memory corruption in dynamically allocated regions. Furthermore, from a tactical standpoint related to the MITRE ATT&CK framework, exploitation would likely fall under techniques associated with Initial Execution or Privilege Escalation, specifically leveraging local application vulnerabilities to gain foothold or elevate privileges within the environment. The lack of proper input validation represents a fundamental design flaw that violates secure coding principles regarding boundary checks and memory safety.
Mitigation strategies must prioritize immediate patching through official HPE NonStop updates if available, as these typically include code fixes implementing rigorous bounds checking for all buffer operations involving external inputs. In environments where patches cannot be applied immediately, administrators should restrict access to hpjmeter strictly to trusted personnel with minimal necessary privileges, thereby reducing the likelihood of exploitation by unauthorized actors. Additionally, deploying runtime application self-protection mechanisms or memory corruption mitigations such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) can help mitigate the impact of successful buffer overflow attempts by making code execution significantly more difficult for attackers to achieve reliably. Continuous monitoring of system logs for unusual process behavior related to hpjmeter is also recommended to detect potential exploitation attempts in real time.