Znuny up to 6.5.24/7.3.6 Ticket Search TicketSearch ContentSearch sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $0-$5k | 2.99 |
Summary
A vulnerability was found in Znuny up to 6.5.24/7.3.6. It has been classified as critical. This vulnerability affects the function Kernel::System::Ticket::TicketSearch of the component Ticket Search. The manipulation of the argument ContentSearch leads to sql injection.
This vulnerability is uniquely identified as CVE-2026-93484. The attack is possible to be carried out remotely. No exploit exists.
Upgrading the affected component is recommended.
Details
A vulnerability was found in Znuny up to 6.5.24/7.3.6 and classified as critical. This issue affects the function Kernel::System::Ticket::TicketSearch of the component Ticket Search. The manipulation of the argument ContentSearch with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Znuny through 7.3.6 constructs a ticket-search database query by directly concatenating user-supplied input into the SQL statement. This lack of proper sanitization or the use of parameterized queries allows an attacker to inject arbitrary SQL commands, leading to data theft, modification, or denial of service. Specifically this is in Kernel::System::Ticket::TicketSearch and Kernel::System::Ticket::ArticleSearchIndex::DB via the ContentSearch parameter. The parameter is expected to be either "AND" or "OR", but its value was concatenated directly into the generated SQL query without validation.
It is possible to read the advisory at znuny.org. The identification of this vulnerability is CVE-2026-93484 since 09/18/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
Upgrading to version 6.5.25 or 7.3.7 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
- 6.5.0
- 6.5.1
- 6.5.2
- 6.5.3
- 6.5.4
- 6.5.5
- 6.5.6
- 6.5.7
- 6.5.8
- 6.5.9
- 6.5.10
- 6.5.11
- 6.5.12
- 6.5.13
- 6.5.14
- 6.5.15
- 6.5.16
- 6.5.17
- 6.5.18
- 6.5.19
- 6.5.20
- 6.5.21
- 6.5.22
- 6.5.23
- 6.5.24
- 7.3.0
- 7.3.1
- 7.3.2
- 7.3.3
- 7.3.4
- 7.3.5
- 7.3.6
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Znuny 6.5.25/7.3.7
Timeline
09/18/2026 CVE reserved10/15/2026 Advisory disclosed
10/15/2026 VulDB entry created
10/15/2026 VulDB entry last update
Sources
Advisory: znuny.orgStatus: Confirmed
CVE: CVE-2026-93484 (🔒)
GCVE (CVE): GCVE-0-2026-93484
GCVE (VulDB): GCVE-100-420467
Entry
Created: 10/15/2026 06:10Changes: 10/15/2026 06:10 (71)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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