owntone owntone-server up to 29.0.x Expressions sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in owntone owntone-server up to 29.0.x. The impacted element is an unknown function of the component Expressions Handler. Performing a manipulation results in sql injection. This vulnerability is identified as CVE-2026-41457. The attack can be initiated remotely. There is not any exploit available. It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in owntone owntone-server up to 29.0.x. This affects an unknown code of the component Expressions Handler. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
OwnTone Server versions 28.4 through 29.0 contain a SQL injection vulnerability in DAAP query and filter handling that allows attackers to inject arbitrary SQL expressions by supplying malicious values through the query= and filter= parameters for integer-mapped DAAP fields. Attackers can exploit insufficient sanitization of these parameters to bypass filters and gain unauthorized access to media library data.
The weakness was released by younghyo cho as d4784ebf2099ed1a4203333aee957e5c7553c217. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-41457 since 04/20/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1505 for this issue.
Upgrading to version 29.1.0 eliminates this vulnerability. Applying the patch d4784ebf2099ed1a4203333aee957e5c7553c217 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-24585). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
License
Website
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: 7.3VulDB Meta Temp Score: 7.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: owntone-server 29.1.0
Patch: d4784ebf2099ed1a4203333aee957e5c7553c217
Timeline
04/20/2026 CVE reserved04/22/2026 Advisory disclosed
04/22/2026 VulDB entry created
04/22/2026 VulDB entry last update
Sources
Product: github.comAdvisory: d4784ebf2099ed1a4203333aee957e5c7553c217
Researcher: younghyo cho
Status: Confirmed
CVE: CVE-2026-41457 (🔒)
GCVE (CVE): GCVE-0-2026-41457
GCVE (VulDB): GCVE-100-358761
EUVD: 🔒
Entry
Created: 04/22/2026 07:30Updated: 04/22/2026 09:06
Changes: 04/22/2026 07:30 (71), 04/22/2026 09:06 (1)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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