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DataEase EUVDEUVD-2026-42096

| CVE-2026-55635 HIGH
SQL Injection (CWE-89)
2026-07-07 GitHub_M
8.7
CVSS 4.0 · Vendor: GitHub_M
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Authenticate to DataEase with chart-edit rights
  2. Delivery
    Craft quota/Y-axis filter with SQL payload
  3. Exploit
    Submit chart definition or data request
  4. Execution
    getYWheres() embeds value unescaped
  5. Persist
    Injected SQL runs on datasource
  6. Impact
    Exfiltrate or tamper with database records

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Persistence

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Requires an authenticated DataEase account (PR:L) with the ability to create or modify chart definitions, or to submit chart data requests that include quota (aggregation) filters or Y-axis filters - that specific capability IS the precondition. The payload must be delivered through the quota/Y-axis filter value processed by Quota2SQLObj.getYWheres(); other filter paths are not affected because they apply proper escaping. Exploitation is further gated by the version (any release before 2.10.24) and by a datasource being configured so the generated SQL actually executes. No user interaction and no special network configuration are needed beyond reachability of the DataEase application. The limiting factor is authentication plus chart-authoring/data-request privilege - instances that expose no such accounts to untrusted users are not remotely exploitable by anonymous attackers.

Impact

The CVSS 4.0 score of 8.7 (High) reflects a network-reachable (AV:N), low-complexity (AC:L), no-user-interaction (UI:N) attack requiring only low privileges (PR:L), with high confidentiality and integrity impact (VC:H/VI:H) and low availability impact (VA:L) confined to the vulnerable system (SC:N/SI:N/SA:N). Because DataEase executes generated SQL against configured datasources, successful injection can read and alter arbitrary data in those back-end databases, which justifies the H/H impact rating. The mitigating factor is PR:L: an attacker must already hold an account able to create/modify chart definitions or submit chart data requests, so this is not an unauthenticated internet-wide risk. No EPSS score, KEV listing, or POC was provided, so real-world exploitation probability is currently unquantified; the disclosed fixing commit does, however, hand any analyst a clear map of the vulnerable code, raising the practical likelihood of an exploit being derived. Net: a genuine high-priority patch item for any exposed DataEase instance with untrusted or low-trust users, but not an emergency drop-everything unauthenticated RCE.

Exploit ScenarioDerived

A low-privileged DataEase user with rights to build or edit charts crafts a quota or Y-axis filter whose value contains SQL syntax; when DataEase renders the chart it embeds that value unescaped into the generated query, and the injected SQL executes against the configured datasource. The attacker uses this to read data from tables outside their intended scope or to tamper with records. No public exploit is identified at time of analysis, but the fixing commit publicly reveals the exact injectable parameter.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.3% exploitation probability (EPSS)

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AnalysisAIv1 – Jul 07, 2026

SQL injection in DataEase before 2.10.24 lets an authenticated user inject arbitrary SQL into queries run against configured datasources by supplying malicious quota (chart aggregation) or Y-axis filter values. The flaw sits in Quota2SQLObj.getYWheres(), which embeds attacker-controlled filter values directly into generated SQL while skipping the literal validation and escaping that other filter paths enforce. No public exploit identified at time of analysis, but the fixing commit and GitHub Security Advisory publicly disclose the exact vulnerable code path.

RemediationAI

Vendor-released patch: 2.10.24 - upgrade all DataEase instances to 2.10.24 or later, which applies the missing SQL literal validation/escaping to the quota and Y-axis filter path (see advisory GHSA-p758-rx6v-hc8g and commit 4463e21cb73d3d4bb8af89a0cb71ee403e4b808a). If an immediate upgrade is not possible, reduce exposure by tightening who can create or modify chart definitions and submit chart-data requests carrying quota filters (restrict to trusted operators only), and by giving the datasource connection accounts the least privilege necessary (read-only, scoped schemas) so an injection cannot modify data or pivot - noting the trade-off that read-only accounts still allow data exfiltration and that restricting chart authoring limits legitimate self-service analytics. Placing the DataEase UI behind network access controls / VPN further limits the pool of potential authenticated attackers. These are compensating controls only; upgrading to 2.10.24 is the definitive fix.

Affected VersionsENISA

dataease < 2.10.24

Affected Packages

euvd dataease fix: 2.10.24

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

DataEase is an open-source (Java/Spring-based) business intelligence and data visualization platform that builds charts by translating user-defined filters and aggregations into SQL executed against back-end datasources (MySQL, PostgreSQL, and other JDBC targets). The root cause is CWE-89 (SQL Injection): the getYWheres() method in the Quota2SQLObj class concatenates raw quota/Y-axis filter values into the WHERE clause of generated SQL without routing them through the shared SQL literal validation and escaping routine that DataEase applies to its other filter builders. This inconsistency - one filter path hardened, another not - is a classic incomplete-mitigation pattern. The single affected CPE is cpe:2.3:a:dataease:dataease:*:*:*:*:*:*:*:*, i.e. all DataEase versions prior to 2.10.24.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

Vendor (GitHub_M) PRIMARY 8.7 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N
vuln.today AI 8.3 HIGH

Network-reachable SQLi needing an authenticated chart-authoring account (PR:L), no user interaction, high confidentiality/integrity impact on back-end data with limited availability effect.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (GitHub_M).

CVSS VectorVendor: GitHub_M

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
Vulnerable system: Confidentiality
High
Vulnerable system: Integrity
High
Vulnerable system: Availability
Low
Subsequent system: Confidentiality
None
Subsequent system: Integrity
None
Subsequent system: Availability
None

Lifecycle Timeline

1
Patch available
Jul 07, 2026 - 22:01 EUVD

DescriptionCVE.org

DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, chart quota and Y-axis filters embed attacker-controlled filter values directly into generated SQL in Quota2SQLObj.getYWheres() without applying the SQL literal validation and escaping used by other filter paths, allowing an authenticated user who can create or modify chart definitions or submit chart data requests containing quota filters to inject SQL into queries executed against configured datasources. This issue is fixed in version 2.10.24.

Executive ViewAI

Why It Matters

DataEase versions before 2.10.24 contain a SQL injection vulnerability allowing authenticated users to execute arbitrary database queries against configured datasources, creating significant insider threat and data breach risks for organizations relying on DataEase for analytics and reporting.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations: (1) restrict user accounts to minimum necessary personnel with business justification and enforce principle of least privilege on datasource access, (2) enable detailed query logging and real-time alerting for SQL patterns indicative of injection attempts, (3) implement network segmentation to limit DataEase access to trusted networks only, (4) disable quota (chart aggregation) and Y-axis filtering features if operationally dispensable, (5) conduct immediate privilege audit and revoke unnecessary datasource access permissions.

Threat Intelligence Overview

EPSS Score
0.3%
Top 82% exploitable
Prevalence
Medium
popular open-source BI/visualization tool, moderate but not universal deployment
Social Media
1
Sightings
Data Quality
7 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment CIRCL GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.3%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
No
Human Impact
High
Technical Impact
Partial

Priority Score

44
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +44
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.

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