CVE-2026-72579 in HyperCP
Summary
by MITRE • 08/10/2026
An OS command injection vulnerability in NASA HyperCP (main branch) allows a network-adjacent attacker who can intercept or spoof responses from oceandata.sci.gsfc.nasa.gov to execute arbitrary system commands on the researcher's workstation. The Source/OBPGSession.py handler parses server response headers without sanitization and passes attacker-controlled field values to subprocess calls, enabling arbitrary command execution when a user performs a data download operation against a tampered server.
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Analysis
by VulDB Data Team • 08/10/2026
This vulnerability represents a critical operating system command injection flaw within NASA's HyperCP software ecosystem, specifically targeting the OBPGSession.py component that handles ocean data processing workflows. The vulnerability arises from insufficient input validation and sanitization mechanisms within the network communication parsing layer, where attacker-controlled header values are directly passed to subprocess execution calls without proper sanitization or parameter escaping. The attack vector requires an adversary to be positioned within the network adjacency of a researcher's workstation, capable of intercepting or spoofing responses from the legitimate oceandata.sci.gsfc.nasa.gov server, which serves as the authoritative data source for ocean color remote sensing data processing.
The technical exploitation occurs through the Source/OBPGSession.py handler module, which processes HTTP response headers from the ocean data server and extracts field values that are subsequently used in system command construction. When a user initiates a data download operation against a compromised server, the malicious server responds with specially crafted header values containing embedded shell commands that bypass normal input validation checks. These commands are then passed directly to subprocess calls within the Python application, creating an execution path where arbitrary operating system commands can be executed with the privileges of the researcher's workstation user. The vulnerability demonstrates a classic command injection pattern where untrusted data flows from network responses into system execution contexts without proper sanitization.
The operational impact of this vulnerability extends beyond simple privilege escalation to encompass complete compromise of the researcher's workstation environment, potentially enabling attackers to access sensitive research data, exfiltrate proprietary methodologies, or establish persistent backdoors within the scientific computing infrastructure. Given that ocean data processing workstations often handle classified or proprietary research datasets, the compromise could result in significant intellectual property theft or national security implications. The vulnerability affects users who regularly download data from NASA's ocean color data system, which is critical for climate research, marine biology studies, and environmental monitoring applications. The attack requires minimal privileges on the network side since it exploits a client-side application rather than server-side infrastructure.
Mitigation strategies should focus on implementing comprehensive input sanitization and parameter validation at all points where external data enters the application processing pipeline. The recommended approach involves applying strict whitelisting mechanisms for header field values, implementing proper shell command escaping when subprocess calls are necessary, and deploying network-level controls to prevent man-in-the-middle attacks against the legitimate data servers. Organizations should consider implementing certificate pinning or other cryptographic measures to ensure integrity of communications with oceandata.sci.gsfc.nasa.gov, while also establishing network segmentation and monitoring protocols to detect suspicious traffic patterns. This vulnerability aligns with CWE-78 operating system command injection and maps to ATT&CK technique T1059.003 for command and scripting interpreter, specifically shell scripting execution within the execution phase of the attack lifecycle.
The broader implications highlight the need for enhanced security practices in scientific computing environments where applications process sensitive data from external sources without adequate input validation controls. The vulnerability demonstrates how seemingly benign parsing operations can create critical security gaps when proper sanitization procedures are not implemented, particularly in research environments that may have less stringent security oversight compared to commercial or government systems. Organizations should implement comprehensive application security testing including dynamic analysis and penetration testing focused on network communication parsing components to identify similar injection vulnerabilities across their scientific software portfolios.