CVE-2026-55854 (GCVE-0-2026-55854)
Vulnerability from cvelistv5 – Published: 2026-08-28 22:03 – Updated: 2026-08-31 18:53
VLAI
EPSS
VEX
Title
MariaDB Connector/Node.js: Cleartext Transmission of Sensitive Information and Insufficiently Protected Credentials in mariadb
Summary
MariaDB Connector/Node.js is used to connect applications developed on Node.js to MariaDB and MySQL databases. Prior to 3.2.4, 3.3.3, 3.4.6, and 3.5.3, MariaDB Connector/Node.js can disclose an account password when PAM dialog authentication is negotiated over an insecure transport. In lib/cmd/handshake/auth/pam-password-auth.js and lib/cmd/handshake/authentication.js, the SendPamAuthPacketFactory behavior for the server-side plugin dialog lacked the secure-transport gate applied to mysql_clear_password. With the default sslMode=DISABLE and restrictedAuth=null settings, a hostile or on-path server can send an Authentication Switch Request for dialog over plain TCP, causing the connector to return the account password in cleartext. Properly verified TLS and a local Unix socket prevent this path, while fingerprint-only server identity validation is not sufficient. This issue is fixed in versions 3.2.4, 3.3.3, 3.4.6, and 3.5.3.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-31 15:21 UTC
CWE
Assigner
References
10 references
| URL | Tags |
|---|---|
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_CONFIRM |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://github.com/mariadb-corporation/mariadb-co… | x_refsource_MISC |
| https://jira.mariadb.org/browse/CONJS-353 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| mariadb-corporation | mariadb-connector-nodejs |
Affected:
< 3.2.4
Affected: >= 3.3.0, < 3.3.3 Affected: >= 3.4.0, < 3.4.6 Affected: >= 3.5.0, < 3.5.3 |
guessed |
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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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