Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-67840 is a high-severity OS Command Injection (CWE-78) vulnerability in Cohesity Tranzman. Its CVSS base score is 7.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 11% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-67840 describes multiple authenticated OS command injection vulnerabilities (CWE-78) in the Cohesity (formerly Stone Ram) TranZman 4.0 web application, affecting API endpoints including the Scheduler and Actions pages from Build 14614 through the patch TZM_1757588060_SEP2025_FULL.depot. The appliance directly concatenates user-controlled parameters into system commands without sufficient sanitization. Published on 2026-03-03, it carries a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H).
An authenticated administrator can exploit these vulnerabilities by intercepting legitimate requests, such as those during job creation or execution, using a proxy to modify parameters and inject shell metacharacters. This enables execution of arbitrary OS commands with root privileges, resulting in remote code execution on the appliance. The flaws completely bypass the CLISH restricted shell confinement, leading to full system compromise.
Advisory details and proof-of-concept exploits are documented by researcher Greg Durys in a GitHub repository at https://github.com/GregDurys/Cohesity-TranZman-CVEs and a related gist at https://gist.github.com/GregDurys/ef7fc6a36646df927374bba8e7279270. The Cohesity website at https://cohesity.com serves as an additional reference, though the vulnerabilities persist in Release 4.0 Build 14614 including the latest tested patch TZM_1757588060_SEP2025_FULL.depot.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208246
Vulnerability Data
Multiple authenticated OS command injection vulnerabilities exist in the Cohesity (formerly Stone Ram) TranZman 4.0 Build 14614 through TZM_1757588060_SEP2025_FULL.depot web application API endpoints (including Scheduler and Actions pages). The appliance directly concatenates user-controlled parameters into system commands without sufficient sanitisation,…
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allowing an authenticated admin user to inject and execute arbitrary OS commands with root privileges. An attacker can intercept legitimate requests (e.g. during job creation or execution) using a proxy and modify parameters to include shell metacharacters, achieving remote code execution on the appliance. This completely bypasses the intended CLISH restricted shell confinement and results in full system compromise. The vulnerabilities persist in Release 4.0 Build 14614 including the latest patch (as of the time of testing) TZM_1757588060_SEP2025_FULL.depot.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.5V1.2.8V15.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect command sanitization during development.
Input validation directly neutralizes or rejects special characters that would otherwise alter OS command structure.
Least privilege reduces the permissions available to any process that could be subverted by injected commands.
Least functionality restricts available OS commands and interpreters, limiting the blast radius of injection.
Secure engineering principles require proper neutralization of untrusted input before command construction.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-06's SDLC practices directly require secure coding and input handling that blocks command-injection defects, yet the single broad outcome leaves many specific neutralization vectors and verification gaps unaddressed.
Routine patching/maintenance can remediate known command-injection CVEs in dependencies (partial forward) but does nothing to stop developers from introducing improper neutralization in custom code (none reverse).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing and code review target insecure use of operating-system command interfaces, catching command-injection flaws introduced during development.