CVE-2026-40901 Vulnerability Analysis & Exploit Details

CVE-2026-40901
Vulnerability Scoring

Analysis In Progress
Analysis In Progress

Attack Complexity Details

  • Attack Complexity:
    Attack Complexity Analysis In Progress
  • Attack Vector:
    Attack Vector Under Analysis
  • Privileges Required: None
    No authentication is required for exploitation.
  • Scope:
    Impact is confined to the initially vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2026-40901 Details

Status: Received on 16 Apr 2026, 21:16 UTC

Published on: 16 Apr 2026, 21:16 UTC

CVSS Release:

CVE-2026-40901 Vulnerability Summary

CVE-2026-40901: DataEase is an open-source data visualization and analytics platform. Versions 2.10.20 and below ship the legacy velocity-1.7.jar, which pulls in commons-collections-3.2.1.jar containing the InvokerTransformer deserialization gadget chain. Quartz 2.3.2, also bundled in the application, deserializes job data BLOBs from the qrtz_job_details table using ObjectInputStream with no deserialization filter or class allowlist. An authenticated attacker who can write to the Quartz job table, such as through the previously described SQL injection in previewSql, can replace a scheduled job's JOB_DATA with a malicious CommonsCollections6 gadget chain payload. When the Quartz cron trigger fires, the payload is deserialized and executes arbitrary commands as root inside the container, achieving full remote code execution. This issue has been fixed in version 2.10.21.

Assessing the Risk of CVE-2026-40901

Access Complexity Graph

The exploitability of CVE-2026-40901 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2026-40901

No exploitability data is available for CVE-2026-40901.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2026-40901, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2026-40901, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2026-40901 does not compromise confidentiality.
  • Integrity: None
    CVE-2026-40901 does not impact data integrity.
  • Availability: None
    CVE-2026-40901 does not affect system availability.

CVE-2026-40901 References

External References

CWE Common Weakness Enumeration

CWE-502

CAPEC Common Attack Pattern Enumeration and Classification

  • Object Injection CAPEC-586 An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.

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