CVE-2026-55858 (GCVE-0-2026-55858)
Vulnerability from cvelistv5 – Published: 2026-08-28 22:46 – Updated: 2026-09-01 02:06
VLAI
EPSS
VEX
Title
MariaDB Connector/J: Inappropriate Encoding for Output Context in org.mariadb.jdbc:mariadb-java-client
Summary
MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. Prior to 2.7.14, 3.3.5, 3.4.3, and 3.5.9, the connector encodes and decodes protocol text and performs client-side escaping under the assumption that the connection character set is UTF-8. The server can report a mid-session change to character_set_client through OK-packet session-state tracking, including a change caused by SET NAMES, a stored routine or trigger, server configuration, or a hostile server. If character_set_client changes to a non-UTF-8 value, the driver continues to read and write UTF-8 while the server interprets the same bytes under another encoding, causing silent data corruption and a client/server charset-confusion mismatch that can defeat byte-wise quoting or escaping. The fix accepts only utf8, utf8mb3, or utf8mb4 after initialization; any other value causes SQLException with SQLState 08000 and closes the connection. This issue is fixed in versions 2.7.14, 3.3.5, 3.4.3, and 3.5.9.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-01 02:05 UTC
CWE
- CWE-838 - Inappropriate Encoding for Output Context
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/CONJ-1317 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| mariadb-corporation | mariadb-connector-j |
Affected:
< 2.7.14
Affected: >= 3.0.0-alpha, < 3.3.5 Affected: >= 3.4.0, < 3.4.3 Affected: >= 3.5.0, < 3.5.9 |
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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