Oracle MySQL Server up to 8.0.41/8.4.4/9.2.0 Optimizer denial of service

CVSS Meta Temp Score
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CTI Interest Score
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4.8$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Oracle MySQL Server up to 8.0.41/8.4.4/9.2.0. Affected by this vulnerability is an unknown functionality of the component Optimizer. Performing a manipulation results in denial of service. This vulnerability is reported as CVE-2025-21585. The attack is possible to be carried out remotely. No exploit exists. You should upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, was found in Oracle MySQL Server up to 8.0.41/8.4.4/9.2.0. This affects some unknown functionality of the component Optimizer. The manipulation with an unknown input leads to a denial of service vulnerability. CWE is classifying the issue as CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. This is going to have an impact on availability. The summary by CVE is:

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.41, 8.4.0-8.4.4 and 9.0.0-9.2.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).

It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2025-21585 since 12/25/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. Additional levels of successful authentication are required for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 240392 (CBL Mariner 2.0 Security Update: mysql (CVE-2025-21585)), which helps to determine the existence of the flaw in a target environment.

Upgrading eliminates this vulnerability.

The vulnerability is also documented in the databases at Tenable (240392) and CERT Bund (WID-SEC-2025-1850). Be aware that VulDB is the high quality source for vulnerability data.

Affected

  • Xerox FreeFlow Print Server

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.9
VulDB Meta Temp Score: 4.8

VulDB Base Score: 4.9
VulDB Temp Score: 4.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 4.9
CNA Vector (oracle): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Denial of service
CWE: CWE-404
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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Nessus ID: 240392
Nessus Name: CBL Mariner 2.0 Security Update: mysql (CVE-2025-21585)

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/25/2024 🔍
04/15/2025 +110 days 🔍
04/15/2025 +0 days 🔍
08/16/2025 +122 days 🔍

Sourcesinfo

Vendor: oracle.com

Advisory: oracle.com
Status: Confirmed

CVE: CVE-2025-21585 (🔍)
GCVE (CVE): GCVE-0-2025-21585
GCVE (VulDB): GCVE-100-304887
CERT Bund: WID-SEC-2025-1850 - Xerox FreeFlow Print Server: Mehrere Schwachstellen ermöglichen nicht spezifizierten Angriff

Entryinfo

Created: 04/15/2025 23:07
Updated: 08/16/2025 00:55
Changes: 04/15/2025 23:07 (64), 06/27/2025 03:13 (2), 08/16/2025 00:55 (7)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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