CVE-2012-10040 (GCVE-0-2012-10040)
Vulnerability from cvelistv5 – Published: 2025-08-11 14:56 – Updated: 2026-04-07 14:02 Unsupported When Assigned
VLAI
EPSS
VEX
Title
Openfiler v2.x NetworkCard Command Execution
Summary
Openfiler v2.x contains a command injection vulnerability in the system.html page. The device parameter is used to instantiate a NetworkCard object, whose constructor in network.inc calls exec() with unsanitized input. An authenticated attacker can exploit this to execute arbitrary commands as the openfiler user. Due to misconfigured sudoers, the openfiler user can escalate privileges to root via sudo /bin/bash without a password.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-11 15:52 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://raw.githubusercontent.com/rapid7/metasplo… | exploit |
| https://www.exploit-db.com/exploits/21191 | exploit |
| https://www.openfiler.com/ | product |
| https://sourceforge.net/projects/openfiler/ | product |
| http://web.archive.org/web/20210922060411/https:/… | technical-descriptionexploit |
Impacted products
Date Public
2012-09-10 00:00
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Sightings
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.