CVE-2024-30381
Published: 12 April 2024
Summary
CVE-2024-30381 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Juniper Paragon Active Assurance Control Center. Its CVSS base score is 8.4 (High).
Operationally, ranked at the 30.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-28302
Vulnerability details
An Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Juniper Networks Paragon Active Assurance Control Center allows a network-adjacent attacker with root access to a Test Agent Appliance the ability to access sensitive information about downstream devices. The…
more
"netrounds-probe-login" daemon (also called probe_serviced) exposes functions where the Test Agent (TA) Appliance pushes interface state/config, unregister itself, etc. The remote service accidentally exposes an internal database object that can be used for direct database access on the Paragon Active Assurance Control Center. This issue affects Paragon Active Assurance: 4.1.0, 4.2.0.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.