DataDirect Connect for JDBC for Amazon Redshift: Improper Control of Generation of Code
CVE-2025-10703 is a high-severity improper control of generation of code vulnerability in DataDirect Connect for JDBC for Amazon Redshift from Progress Software, with a CVSS 4.0 base score of 8.6 out of 10. It can be exploited remotely over the network by an attacker with a low-privileged account, without any action from a user. Affected DataDirect Connect for JDBC for Amazon Redshift versions: 6.0.0.001392 and earlier. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.32% chance of exploitation within 30 days, which is low compared with other CVEs.
High severity with no evidence of exploitation so far.
What to do
- Check which version of DataDirect Connect for JDBC for Amazon Redshift you run against the affected versions below, and install the vendor's latest release.
Affected products and versions
Version data comes from the organisation that assigned the CVE; 7 further products are omitted here. Confirm against the vendor advisory before deciding you are unaffected.
How the severity score breaks down
- Attack vector
- NetworkCan be exploited remotely over a network, including the internet.
- Attack complexity
- LowNo special conditions are needed; the attack works reliably.
- Attack requirements
- NoneThe attack does not depend on a particular deployment or configuration.
- Privileges required
- LowA basic user account is enough.
- User interaction
- NoneNo action by a victim is required.
- Confidentiality (vulnerable system)
- LowLimited loss of confidentiality on the vulnerable system.
- Integrity (vulnerable system)
- HighSerious loss of integrity on the vulnerable system.
- Availability (vulnerable system)
- HighSerious loss of availability on the vulnerable system.
- Confidentiality (other systems)
- HighSerious loss of confidentiality on systems beyond the vulnerable one.
- Integrity (other systems)
- HighSerious loss of integrity on systems beyond the vulnerable one.
- Availability (other systems)
- HighSerious loss of availability on systems beyond the vulnerable one.
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X. Scored by CNA (progress.com).
Official description
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
Source: the CVE record as published by its numbering authority, via NVD and CVE.org.
The underlying weakness: Improper Control of Generation of Code
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.
How developers prevent this class of flaw
- Refactor your program so that you do not have to dynamically generate code.
- Run your code in a jail or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product. Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection. This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise. Be careful to avoid CWE-243 and other weaknesses related to jails.
- Use dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
More Improper Control of Generation of Code vulnerabilities (CWE-94)
Timeline
- CVE record published.
- CISA published its SSVC assessment (exploitation: none, automatable: no, technical impact: total).
- Record last changed materially (score, affected products, status or references).
References
Other references
Other vulnerabilities in DataDirect Connect for JDBC for Amazon Redshift
- 8.6 High severity
Recent Improper Control of Generation of Code vulnerabilities
- 9.8 Critical severity
- 8.0 High severity
- 8.8 High severity
- 7.8 High severity
- 7.8 High severity
- 9.8 Critical severity
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