CVE-2024-34532: n/a
A SQL injection vulnerability in Yvan Dotet PostgreSQL Query Deluxe module (aka query_deluxe) 17.x before 17.0.0.4 allows a remote attacker to gain privileges via the query parameter to models/querydeluxe.py:QueryDeluxe::get_result_from_query.
AI Analysis
Technical Summary
CVE-2024-34532 identifies a critical SQL injection vulnerability in the Query Deluxe module (query_deluxe) for PostgreSQL, specifically affecting versions before 17.0.0.4. The vulnerability resides in the get_result_from_query method within models/querydeluxe.py, where the query parameter is improperly sanitized. This allows a remote attacker to inject malicious SQL commands directly into the database query execution context. Exploitation requires no authentication or user interaction, making it trivially exploitable over the network. The impact includes unauthorized privilege escalation, data exfiltration, data manipulation, and potential denial of service by corrupting or deleting database contents. The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). Despite no current public exploits, the critical CVSS score of 9.8 reflects the severity and ease of exploitation. The absence of a patch link suggests that users must upgrade to version 17.0.0.4 or later once available or implement immediate mitigations such as input validation and query parameter sanitization to prevent injection attacks.
Potential Impact
The SQL injection vulnerability allows attackers to execute arbitrary SQL commands remotely without authentication, leading to full compromise of the affected PostgreSQL database. This can result in unauthorized access to sensitive data, modification or deletion of records, privilege escalation, and disruption of database availability. Organizations relying on the Query Deluxe module for critical applications risk data breaches, loss of data integrity, and operational downtime. The broad impact on confidentiality, integrity, and availability makes this a severe threat, particularly for sectors handling sensitive or regulated data such as finance, healthcare, government, and large enterprises. The ease of exploitation and network accessibility increase the likelihood of attacks, potentially leading to widespread compromise if left unmitigated.
Mitigation Recommendations
1. Upgrade immediately to Query Deluxe module version 17.0.0.4 or later once available to apply the official fix. 2. Implement strict input validation and sanitization on all user-supplied query parameters to prevent injection of malicious SQL code. 3. Employ parameterized queries or prepared statements in the application code to separate SQL logic from data inputs. 4. Restrict database user privileges to the minimum necessary to limit the impact of potential exploitation. 5. Monitor database logs for unusual query patterns or errors indicative of injection attempts. 6. Use Web Application Firewalls (WAFs) with SQL injection detection rules to block malicious requests targeting the vulnerable parameter. 7. Conduct regular security assessments and code reviews focusing on database interaction layers. 8. Isolate critical database systems behind network segmentation and limit external access to reduce exposure.
Affected Countries
United States, Germany, United Kingdom, France, Canada, Australia, Japan, South Korea, India, Brazil, Netherlands, Sweden
CVE-2024-34532: n/a
Description
A SQL injection vulnerability in Yvan Dotet PostgreSQL Query Deluxe module (aka query_deluxe) 17.x before 17.0.0.4 allows a remote attacker to gain privileges via the query parameter to models/querydeluxe.py:QueryDeluxe::get_result_from_query.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-34532 identifies a critical SQL injection vulnerability in the Query Deluxe module (query_deluxe) for PostgreSQL, specifically affecting versions before 17.0.0.4. The vulnerability resides in the get_result_from_query method within models/querydeluxe.py, where the query parameter is improperly sanitized. This allows a remote attacker to inject malicious SQL commands directly into the database query execution context. Exploitation requires no authentication or user interaction, making it trivially exploitable over the network. The impact includes unauthorized privilege escalation, data exfiltration, data manipulation, and potential denial of service by corrupting or deleting database contents. The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). Despite no current public exploits, the critical CVSS score of 9.8 reflects the severity and ease of exploitation. The absence of a patch link suggests that users must upgrade to version 17.0.0.4 or later once available or implement immediate mitigations such as input validation and query parameter sanitization to prevent injection attacks.
Potential Impact
The SQL injection vulnerability allows attackers to execute arbitrary SQL commands remotely without authentication, leading to full compromise of the affected PostgreSQL database. This can result in unauthorized access to sensitive data, modification or deletion of records, privilege escalation, and disruption of database availability. Organizations relying on the Query Deluxe module for critical applications risk data breaches, loss of data integrity, and operational downtime. The broad impact on confidentiality, integrity, and availability makes this a severe threat, particularly for sectors handling sensitive or regulated data such as finance, healthcare, government, and large enterprises. The ease of exploitation and network accessibility increase the likelihood of attacks, potentially leading to widespread compromise if left unmitigated.
Mitigation Recommendations
1. Upgrade immediately to Query Deluxe module version 17.0.0.4 or later once available to apply the official fix. 2. Implement strict input validation and sanitization on all user-supplied query parameters to prevent injection of malicious SQL code. 3. Employ parameterized queries or prepared statements in the application code to separate SQL logic from data inputs. 4. Restrict database user privileges to the minimum necessary to limit the impact of potential exploitation. 5. Monitor database logs for unusual query patterns or errors indicative of injection attempts. 6. Use Web Application Firewalls (WAFs) with SQL injection detection rules to block malicious requests targeting the vulnerable parameter. 7. Conduct regular security assessments and code reviews focusing on database interaction layers. 8. Isolate critical database systems behind network segmentation and limit external access to reduce exposure.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-05-06T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6c53b7ef31ef0b562bcb
Added to database: 2/25/2026, 9:40:35 PM
Last enriched: 2/28/2026, 3:13:42 AM
Last updated: 4/12/2026, 7:53:37 AM
Views: 13
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.