Dataease
CVE-2025-58045
HIGH
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Credential Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Impact | CVSS score of 7.1 (HIGH). Attack characteristics: network attack vector, low complexity, low privileges required, no user interaction not required. Public proof-of-concept exploit code is available. EPSS exploitation probability: 1.12%. |
| Exploit ScenarioDerived | A remote attacker could make the server perform requests to unintended internal or external resources by sending crafted requests to the affected application. |
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Alert meAnalysisAIv1 – Mar 28, 2026
Dataease is an open source data analytics and visualization platform. Rated high severity (CVSS 7.1), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Validate and allowlist destination URLs, block requests to internal networks, use network segmentation.
Affects your stack
Find out whether the stacks and servers you run are on an affected version.
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified as Server-Side Request Forgery (SSRF) (CWE-918), which allows attackers to make the server perform requests to unintended internal or external resources. Dataease is an open source data analytics and visualization platform. In Dataease versions up to 2.10.12, the patch introduced to mitigate DB2 JDBC deserialization remote code execution attacks only blacklisted the rmi parameter. The ldap parameter in the DB2 JDBC connection string was not filtered, allowing attackers to exploit the DB2 JDBC connection string to trigger server-side request forgery (SSRF). In higher versions of Java, ldap deserialization (autoDeserialize) is disabled by default, preventing remote code execution, but SSRF remains exploitable. Versions up to 2.10.12 are affected. The issue is fixed in version 2.10.13. Updating to 2.10.13 or later is recommended. No known workarounds are documented aside from upgrading. Affected products include: Dataease. Version information: up to 2.10.12.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N
Primary rating from Vendor (github) · only source for this CVE.
CVSS VectorVendor: github
Lifecycle Timeline
3DescriptionCVE.org
Dataease is an open source data analytics and visualization platform. In Dataease versions up to 2.10.12, the patch introduced to mitigate DB2 JDBC deserialization remote code execution attacks only blacklisted the rmi parameter. The ldap parameter in the DB2 JDBC connection string was not filtered, allowing attackers to exploit the DB2 JDBC connection string to trigger server-side request forgery (SSRF). In higher versions of Java, ldap deserialization (autoDeserialize) is disabled by default, preventing remote code execution, but SSRF remains exploitable. Versions up to 2.10.12 are affected. The issue is fixed in version 2.10.13. Updating to 2.10.13 or later is recommended. No known workarounds are documented aside from upgrading.
Executive ViewAI
Organizations using Dataease face moderate risk from CVE-2025-58045, a server-side request forgery vulnerability rated CVSS 7.1. Attackers could trick authenticated users into performing unintended actions, potentially modifying critical settings or data. Proof-of-concept code is publicly available, increasing the risk of exploitation. A patch is available and should be applied as part of regular vulnerability management.
Apply vendor patch. If immediate patching is not feasible: (1) Implement strict egress filtering; (2) Use allowlists for outbound connections; (3) Block access to cloud metadata endpoints.
Threat Intelligence Overview
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.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.
Insecure deserialization occurs when an application converts serialized data (a stream of bytes representing an object's state) back into a living object without proper validation.
Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.
Affected Products (CPE)CVE.org
DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.11, a threat actor m
Auth bypass in DataEase via CVE-2025-49001 patch evasion. PoC available.
Auth bypass in DataEase BI tool before 2.10.10.
A remote code execution vulnerability in DataEase (CVSS 9.8). Risk factors: public PoC available.
A remote code execution vulnerability in DataEase (CVSS 9.8). Risk factors: public PoC available.
A remote code execution vulnerability in DataEase (CVSS 9.8). Risk factors: public PoC available.
DataEase data visualization tool prior to 2.10.19 uses MD5-hashed passwords without salting, allowing attackers to crack
DataEase is an open source data visualization analysis tool. Rated critical severity (CVSS 9.8), this vulnerability is r
DataEase is an open source data visualization analysis tool. Rated critical severity (CVSS 9.8), this vulnerability is r
DataEase is an open source data visualization and analysis tool. Rated critical severity (CVSS 9.8), this vulnerability
Dataease is an open source data visualization and analysis tool. Rated critical severity (CVSS 9.8), this vulnerability
Dataease is an open source data visualization analysis tool. Rated critical severity (CVSS 9.8), this vulnerability is r
NVD
CVE.org
EPSS
GitHub
Exploit-DB