CVE-2025-10703 Vulnerability Analysis & Exploit Details

CVE-2025-10703
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-2025-10703 Details

Status: Received on 19 Nov 2025, 16:15 UTC

Published on: 19 Nov 2025, 16:15 UTC

CVSS Release:

CVE-2025-10703 Vulnerability Summary

CVE-2025-10703: Improper Control of Generation of Code ('Code Injection') vulnerability in Progress DataDirect Connect for JDBC drivers, Progress DataDirect Open Access JDBC driver and Hybrid Data Pipeline allows Remote Code Inclusion. The SpyAttribute connection option implemented by the DataDirect Connect for JDBC drivers, DataDirect Hybrid Data Pipeline JDBC driver and the DataDirect OpenAccess JDBC driver log=(file) construct allows the user to specify an arbitrary file for the JDBC driver to write its log information to.  If an application allows an end user to specify a value for the SpyAttributes connection option then an attacker could cause java script to be written to a log file.  If the log file was in the correct location with the correct extension, an application server could see that log file as a resource to be served.  The attacker could fetch the resource from the server causing the java script to be executed. This issue affects: DataDirect Connect for JDBC for Amazon Redshift: through 6.0.0.001392, fixed in 6.0.0.001541 DataDirect Connect for JDBC for Apache Cassandra: through 6.0.0.000805, fixed in 6.0.0.000833 DataDirect Connect for JDBC for Hive: through 6.0.1.001499, fixed in 6.0.1.001628 DataDirect Connect for JDBC for Apache Impala: through 6.0.0.001155, fixed in 6.0.0.001279 DataDirect Connect for JDBC for Apache SparkSQL: through 6.0.1.001222, fixed in 6.0.1.001344 DataDirect Connect for JDBC Autonomous REST Connector: through 6.0.1.006961, fixed in 6.0.1.007063 DataDirect Connect for JDBC for DB2: through 6.0.0.000717, fixed in 6.0.0.000964 DataDirect Connect for JDBC for Google Analytics 4: through 6.0.0.000454, fixed in 6.0.0.000525 DataDirect Connect for JDBC for Google BigQuery: through 6.0.0.002279, fixed in 6.0.0.002410 DataDirect Connect for JDBC for Greenplum: through 6.0.0.001712, fixed in 6.0.0.001727 DataDirect Connect for JDBC for Informix: through 6.0.0.000690, fixed in 6.0.0.0851 DataDirect Connect for JDBC for Microsoft Dynamics 365: through 6.0.0.003161, fixed in 6.0.0.3198 DataDirect Connect for JDBC for Microsoft SQLServer: through 6.0.0.001936, fixed in 6.0.0.001957 DataDirect Connect for JDBC for Microsoft Sharepoint: through 6.0.0.001559, fixed in 6.0.0.001587 DataDirect Connect for JDBC for MongoDB: through 6.1.0.001654, fixed in 6.1.0.001669 DataDirect Connect for JDBC for MySQL: through 5.1.4.000330, fixed in 5.1.4.000364 DataDirect Connect for JDBC for Oracle Database: through 6.0.0.001747, fixed in 6.0.0.001776 DataDirect Connect for JDBC for Oracle Eloqua: through 6.0.0.001438, fixed in 6.0.0.001458 DataDirect Connect for JDBC for Oracle Sales Cloud: through 6.0.0.001225, fixed in 6.0.0.001316 DataDirect Connect for JDBC for Oracle Service Cloud: through 5.1.4.000298, fixed in 5.1.4.000309 DataDirect Connect for JDBC for PostgreSQL: through 6.0.0.001843, fixed in 6.0.0.001856 DataDirect Connect for JDBC for Progress OpenEdge: through 5.1.4.000187, fixed in 5.1.4.000189 DataDirect Connect for JDBC for Salesforce: through 6.0.0.003020, fixed in 6.0.0.003125 DataDirect Connect for JDBC for SAP HANA: through 6.0.0.000879, product retired DataDirect Connect for JDBC for SAP S/4 HANA: through 6.0.1.001818, fixed in 6.0.1.001858 DataDirect Connect for JDBC for Sybase ASE: through 5.1.4.000161, fixed in 5.1.4.000162 DataDirect Connect for JDBC for Snowflake: through 6.0.1.001821, fixed in 6.0.1.001856 DataDirect Hybrid Data Pipeline Server: through 4.6.2.3309, fixed in 4.6.2.3430 DataDirect Hybrid Data Pipeline JDBC Driver: through 4.6.2.0607, fixed in 4.6.2.1023 DataDirect Hybrid Data Pipeline On Premises Connector: through 4.6.2.1223, fixed in 4.6.2.1339 DataDirect Hybrid Data Pipeline Docker: through 4.6.2.3316, fixed in 4.6.2.3430 DataDirect OpenAccess JDBC Driver: through 8.1.0.0177, fixed in 8.1.0.0183 DataDirect OpenAccess JDBC Driver: through 9.0.0.0019, fixed in 9.0.0.0022

Assessing the Risk of CVE-2025-10703

Access Complexity Graph

The exploitability of CVE-2025-10703 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-2025-10703

No exploitability data is available for CVE-2025-10703.

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-2025-10703, 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-2025-10703, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2025-10703 does not compromise confidentiality.
  • Integrity: None
    CVE-2025-10703 does not impact data integrity.
  • Availability: None
    CVE-2025-10703 does not affect system availability.

CVE-2025-10703 References

External References

CWE Common Weakness Enumeration

CWE-94

CAPEC Common Attack Pattern Enumeration and Classification

  • Code Injection CAPEC-242 An adversary exploits a weakness in input validation on the target to inject new code into that which is currently executing. This differs from code inclusion in that code inclusion involves the addition or replacement of a reference to a code file, which is subsequently loaded by the target and used as part of the code of some application.
  • Leverage Executable Code in Non-Executable Files CAPEC-35 An attack of this type exploits a system's trust in configuration and resource files. When the executable loads the resource (such as an image file or configuration file) the attacker has modified the file to either execute malicious code directly or manipulate the target process (e.g. application server) to execute based on the malicious configuration parameters. Since systems are increasingly interrelated mashing up resources from local and remote sources the possibility of this attack occurring is high.
  • Manipulating User-Controlled Variables CAPEC-77 This attack targets user controlled variables (DEBUG=1, PHP Globals, and So Forth). An adversary can override variables leveraging user-supplied, untrusted query variables directly used on the application server without any data sanitization. In extreme cases, the adversary can change variables controlling the business logic of the application. For instance, in languages like PHP, a number of poorly set default configurations may allow the user to override variables.

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