CVE-2026-48240
Deferred Deferred - Pending Action
SQL Injection in Open ISES Tickets

Publication date: 2026-05-21

Last updated on: 2026-05-21

Assigner: VulnCheck

Description
Open ISES Tickets before 3.44.2 contains a SQL injection vulnerability in ajax/statistics.php where the tick_id and f_tick_id POST parameters are concatenated into WHERE clauses of SELECT statements in the statistics rollup queries without sanitization. Authenticated attackers can craft requests that alter query semantics to read, modify, or destroy database contents.
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Meta Information
Published
2026-05-21
Last Modified
2026-05-21
Generated
2026-05-22
AI Q&A
2026-05-21
EPSS Evaluated
N/A
NVD
EUVD
Affected Vendors & Products
Currently, no data is known.
Helpful Resources
Exploitability
CWE
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KEV
KEV Icon
CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
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AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2026-48240 is a SQL injection vulnerability found in Open ISES Tickets versions before 3.44.2, specifically in the ajax/statistics.php file.

The vulnerability occurs because the tick_id and f_tick_id POST parameters are directly concatenated into the WHERE clauses of SQL SELECT statements without proper sanitization or neutralization.

This allows authenticated attackers to craft malicious requests that alter the intended SQL query behavior.

As a result, attackers can read, modify, or delete database contents unauthorizedly.


How can this vulnerability impact me? :

This vulnerability can have serious impacts including unauthorized access to sensitive data stored in the database.

Attackers can modify or delete database contents, potentially causing data loss or corruption.

Such unauthorized actions can disrupt normal operations, compromise data integrity, and lead to further security breaches.


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by monitoring for unusual or suspicious POST requests to the ajax/statistics.php endpoint, specifically those containing the tick_id and f_tick_id parameters. Since the vulnerability involves SQL injection via these parameters, commands that inspect HTTP POST traffic or web server logs for these parameters may help identify exploitation attempts.

  • Use network traffic analysis tools (e.g., tcpdump, Wireshark) to filter HTTP POST requests to ajax/statistics.php and look for tick_id or f_tick_id parameters.
  • Search web server logs for POST requests containing tick_id or f_tick_id parameters with suspicious or malformed SQL syntax.
  • Example command to search logs: grep -i 'tick_id=' /var/log/apache2/access.log
  • Example tcpdump command to capture relevant HTTP POST traffic: tcpdump -A -s 0 'tcp port 80 and (((ip[2:2] - ((ip[0]&0xf)<<2)) - ((tcp[12]&0xf0)>>2)) != 0)' | grep -i 'tick_id='

What immediate steps should I take to mitigate this vulnerability?

The immediate mitigation step is to upgrade Open ISES Tickets to version 3.44.2 or later, where the SQL injection vulnerability in ajax/statistics.php has been patched.

Until the patch can be applied, restrict access to the vulnerable ajax/statistics.php endpoint to trusted authenticated users only, and monitor for suspicious activity involving the tick_id and f_tick_id POST parameters.

Additionally, consider implementing Web Application Firewall (WAF) rules to detect and block SQL injection attempts targeting these parameters.


How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

The vulnerability allows authenticated attackers to read, modify, or destroy database contents through SQL injection. This unauthorized access and potential data manipulation can lead to violations of data protection regulations such as GDPR and HIPAA, which require safeguarding personal and sensitive information against unauthorized access and alteration.

Specifically, the exposure or alteration of sensitive data due to this vulnerability could result in non-compliance with requirements for data integrity, confidentiality, and security mandated by these standards.


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