Authenticated unspecified impact via JDBC deserialization
Published Apr 14, 2023 · Updated Sep 16, 2024
Deserialization in DataGear 4.0 through 4.7.0 and 5.0 through 5.1.0 allows remote authenticated users to cause unspecified impact. The JDBC Server Handler processes attacker-controlled serialized data, but published material does not identify the parsing method or omitted validation. A valid low-privilege session is required, and no concrete read, write, execution, or service-interruption outcome is documented.
Summary
What happened
Deserialization in DataGear 4.0 through 4.7.0 and 5.0 through 5.1.0 allows remote authenticated users to cause unspecified impact. The JDBC Server Handler processes attacker-controlled serialized data, but published material does not identify the parsing method or omitted validation. A valid low-privilege session is required, and no concrete read, write, execution, or service-interruption outcome is documented.
The record
- CVE
- CVE-2023-2042
- Published
- Apr 14, 2023
- Updated
- Sep 16, 2024
- Vendor
- datagear.tech
- Product
- DataGear
- Classifications
- CWE-502, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Apr 14, 2023CVE publishedPublication date reported by the CVE source.
- Sep 16, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=4.0
- Affected versionversion=4.1
- Affected versionversion=4.2
- Affected versionversion=4.3
- Affected versionversion=4.4
- Affected versionversion=4.5
- Affected versionversion=4.6
- Affected versionversion=4.7
- Affected versionversion=5.0
- Affected versionversion=5.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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