CVE-2026-44193 (GCVE-0-2026-44193)

Vulnerability from cvelistv5 – Published: 2026-05-13 21:52 – Updated: 2026-05-16 03:56
VLAI
Title
OPNsense: RCE via XMLRPC endpoint using `opnsense.restore_config_section` method
Summary
OPNsense is a FreeBSD based firewall and routing platform. Prior to 26.1.7, the XMLRPC method opnsense.restore_config_section fails to sanitize user supplied input leading to Remote Code Execution. This vulnerability is fixed in 26.1.7.
Severity
9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-15 00:00 UTC
CWE
  • CWE-88 - Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
Assigner
References
Impacted products
Vendor Product Version CPE status
opnsense core Affected: < 26.1.7
guessed Create a notification for this product.
Show details on NVD website
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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.