CVE-2026-33216 (GCVE-0-2026-33216)
Vulnerability from cvelistv5 – Published: 2026-03-25 19:41 – Updated: 2026-09-09 12:04
VLAI
EPSS
VEX
Title
NATS has MQTT plaintext password disclosure
Summary
NATS-Server is a High-Performance server for NATS.io, a cloud and edge native messaging system. Prior to versions 2.11.15 and 2.12.6, for MQTT deployments using usercodes/passwords: MQTT passwords are incorrectly classified as a non-authenticating identity statement (JWT) and exposed via monitoring endpoints. Versions 2.11.14 and 2.12.6 contain a fix. As a workaround, ensure monitoring end-points are adequately secured. Best practice remains to not expose the monitoring endpoint to the Internet or other untrusted network users.
Severity
8.6 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-28 01:37 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/nats-io/nats-server/security/a… | x_refsource_CONFIRM |
| https://github.com/nats-io/nats-server/commit/b5b… | x_refsource_MISC |
| https://advisories.nats.io/CVE/secnote-2026-05.txt | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-33216 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2451448 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:22347 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:23345 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:21769 | vendor-advisoryx_refsource_REDHAT |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| nats-io | nats-server |
Affected:
< 2.11.15
Affected: >= 2.12.0-RC.1, < 2.12.6 |
guessed | |
| Red Hat | Multicluster Global Hub 1.4.5 |
Unaffected:
1779579439 , < *
(rpm)
cpe:/a:redhat:multicluster_globalhub:1.4::el9 |
||
| Red Hat | Multicluster Global Hub 1.6.5 |
Unaffected:
1780167118 , < *
(rpm)
cpe:/a:redhat:multicluster_globalhub:1.6::el9 |
||
| Red Hat | Red Hat multicluster global hub 1.5.3 |
Unaffected:
1778867753 , < *
(rpm)
cpe:/a:redhat:multicluster_globalhub:1.5::el9 |
||
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4
|
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"dataType": "CVE_RECORD",
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}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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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
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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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