CVE-2026-45534 (GCVE-0-2026-45534)
Vulnerability from cvelistv5 – Published: 2026-07-15 19:19 – Updated: 2026-07-16 12:55
VLAI
EPSS
VEX
Title
DataEase: RCE Vulnerability
Summary
DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase Redshift datasource connections can load attacker-controlled rsjdbc.ini configuration from System.getProperty("java.io.tmpdir"), setting socketFactory=org.springframework.context.support.FileSystemXmlApplicationContext so com.amazon.redshift.Driver#connect, com.amazon.redshift.Driver#getJdbcIniFile, and com.amazon.redshift.util.ObjectFactory#instantiate execute a reflection-based remote code execution chain during a normal JDBC connection through io.dataease.datasource.type.Redshift. This issue is fixed in version 2.10.23.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-16 12:55 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/dataease/dataease/security/adv… | x_refsource_CONFIRM |
| https://github.com/dataease/dataease/commit/3e581… | x_refsource_MISC |
| https://github.com/dataease/dataease/releases/tag… | x_refsource_MISC |
Impacted products
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"version": "2.0.3"
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"url": "https://github.com/dataease/dataease/security/advisories/GHSA-cv4c-8rpv-2x97"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
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{
"product": "dataease",
"vendor": "dataease",
"versions": [
{
"status": "affected",
"version": "\u003c 2.10.23"
}
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}
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}
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"vectorString": "CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
"version": "4.0",
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"descriptions": [
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"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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"epss": "0.00639",
"percentile": "0.49951"
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"nvd": {
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}
],
"id": "CVE-2026-45534",
"lastModified": "2026-07-16T14:16:52.293",
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
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"availabilityRequirement": "NOT_DEFINED",
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"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
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"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
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"subConfidentialityImpact": "HIGH",
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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.
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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