CVE-2026-2409: Critical SQL Injection Flaw Discovered in Delinea Cloud Suite

CVE-2026-2409

CVE ID: CVE-2026-2409
Product: Delinea Cloud Suite (on-premises)
Vulnerability Type: SQL Injection (Argument Injection)
CVSS Score: 9.3 (Critical)
Severity: CRITICAL
Exploitability: Remote network access, low attacker privileges required
Exploit Availability: No confirmed public exploit code as of today

Official Patch / Upgrade Link (only source):
› https://delinea.com/security-advisories

Overview

CVE-2026-2409 is a critical SQL injection flaw that affects Delinea Cloud Suite installations deployed on premise. This vulnerability allows an attacker to inject malicious database logic through input fields that the application uses to construct SQL queries. Because Cloud Suite stores and manages sensitive secrets and privileged credentials for infrastructure, exploiting this flaw can expose confidential data or alter records in unsafe ways.

This vulnerability does not require the attacker to have high privileges. A low-privileged account that has access to the application interface is enough to trigger dangerous SQL modifications. The flaw exists because certain parameters in the application reach database query construction without sufficient sanitization or proper query parameter binding.

Successful exploitation can lead to unauthorized data disclosure, loss of data integrity, and further escalation within the environment if credential material is revealed or manipulated.

Affected Versions

Affected versions are those prior to the vendor-patched release. Delinea has fixed this issue in the 25.2 HF1 (or later) update of Cloud Suite. It is important to upgrade to that version or newer to eliminate this class of SQL injection.

Technical Impact

When a request reaches the vulnerable API or web interface, Cloud Suite forms an SQL query using the input without safely handling injected content. A crafted payload can change the logic of the query, causing it to return additional data, bypass intended filters, or force database operations that the original request did not intend.

For example, if a parameter normally accepts a numeric identifier like userId=42, injecting additional SQL tokens can expand the query logic to discard the intended constraint or merge additional tables/data into the result.

Exploiting this type of issue usually involves:

sending specially crafted HTTP requests
evaluating responses for changes caused by injected SQL syntax
extracting data or triggering behavior that the original logic did not allow

Because this is SQL injection and not just a bad input handler, the consequences go beyond simple application errors. An attacker can retrieve values from system tables, enumerate user credentials, or corrupt stored application data.

How It Could Be Exploited

To exploit this, an attacker needs network access to the application and any valid low-privilege account. They send malicious payloads to interface endpoints that accept parameters controlling database queries.

An attacker typically tests a parameter with simple injection attempts and looks for anomalies in the application response. For example:

sending values that include ' OR '1'='1' -- to see if the query returns more data than expected
sending time-based conditions like ' OR SLEEP(5) -- to check for measurable delays
inserting UNION SELECT clauses to merge additional columns or tables in response output

Privilege limitations matter: the attacker does not need administrative rights to trigger the injection; low privileges are sufficient to reach the vulnerable function.

There is no confirmed public proof-of-concept available from reliable sources at this time. Be cautious if you find reproduction code on public code repositories — verify it against your environment before attempting anything outside a safe testing setup.

Detection Guidance

To detect attempted exploitation, you need to monitor traffic, application logs, and database activity for signs of unusual SQL commands or anomalies that deviate from expected behavior.

Log Sources for Detection

Web Server Logs

Look for unusual query strings, especially those containing SQL keywords
Inspect POST bodies and query parameters for injected syntax

Application Logs

Search for database error messages, unexpected exceptions, or stack traces referencing SQL issues
Track unusual query parameters submitted by users

Database Logs

Monitor for queries that include SQL meta-characters or reference tables/columns in unusual ways
Look for queries that return significantly more rows than expected

Reverse Proxy / WAF Logs

Check for blocked or flagged requests that contain SQL patterns

Example Detection Indicators

Assess logs for the following patterns in request URIs or body content:

Pattern	Why It Matters
`UNION SELECT`	Attempts to merge additional result sets
`OR 1=1`	Classic logic bypass
`SLEEP(`	Time-based blind injection indicator
`information_schema`	Reference to database schema tables
`'--` or `;--`	Attempt to terminate original SQL logic

If such tokens appear where they should not logically exist, this likely indicates an injection attempt.

Query Examples for Detection

Below are detection query examples for widely used logging and SIEM systems. Adjust field names to match your environment.

Splunk — URI Inspection

index=web_logs
| search Request_URI="*UNION SELECT*" OR Request_URI="* OR 1=1*" OR Request_URI="*SLEEP(*" OR Request_URI="*information_schema*"
| stats count by client_ip, Request_URI

Splunk — POST Body Inspection

index=web_logs
| search Request_Body="*UNION SELECT*" OR Request_Body="* OR 1=1*" OR Request_Body="*SLEEP(*" OR Request_Body="*information_schema*"
| table _time, client_ip, Request_Body

Generic Database Log Search

SELECT timestamp, user, query_text
FROM db_audit_log
WHERE query_text LIKE '%UNION SELECT%' 
   OR query_text LIKE '% OR 1=1%' 
   OR query_text LIKE '%SLEEP(%' 
   OR query_text LIKE '%information_schema%';

These queries help highlight requests that contain patterns indicative of SQL injection attempts. Review results manually to validate that they represent malicious activity rather than false positives.

Mitigation Steps

Patch

Upgrade to the fixed version of Delinea Cloud Suite (25.2 HF1 or later).
Use only the official patch from this link:

› https://delinea.com/security-advisories

Upgrading removes the vulnerable code paths and ensures that input goes through safe parameter handling.

Temporary Controls (If Patch Cannot Be Applied Immediately)

Restrict access to the Cloud Suite interface behind VPN or IP allow-lists.
Enable or tune a Web Application Firewall (WAF) to block requests containing common SQL injection payloads.
Enforce strong authentication and account hygiene to reduce the risk of low-privileged account abuse.
Enable detailed logging at the application and database layers to support prompt detection.

Post-Patch Validation

After patching, perform controlled testing of inputs that previously triggered alerts. Confirm that application and database logs no longer record suspicious query patterns triggered via malformed inputs.

Rotate credentials managed by Cloud Suite to ensure that any sensitive data potentially exposed before patching becomes invalid.

Incident Response Priorities

If you suspect exploitation:

Collect all logs around the event window from web server, app logs, and database logs.
Run detection queries to identify injected SQL patterns.
Identify affected accounts or queries that returned unexpected results.
Rotate any sensitive credentials that may have been exposed.
Restrict networking to limit further unauthorized access.