MariaDB up to 10.9 sql/sql_window.cc memory corruption

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.3$0-$5k0.00

Summaryinfo

A vulnerability categorized as critical has been discovered in MariaDB up to 10.9. The affected element is an unknown function of the file sql/sql_window.cc. Such manipulation leads to memory corruption. This vulnerability is traded as CVE-2022-27445. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in MariaDB up to 10.9 (Database Software). It has been rated as critical. Affected by this issue is an unknown functionality of the file sql/sql_window.cc. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability.

The weakness was shared 04/14/2022. The advisory is shared for download at jira.mariadb.org. This vulnerability is handled as CVE-2022-27445 since 03/21/2022. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 05/22/2025).

The vulnerability scanner Nessus provides a plugin with the ID 236542 (Alibaba Cloud Linux 3 : 0151: mariadb:10.5 (ALINUX3-SA-2022:0151)), which helps to determine the existence of the flaw in a target environment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Tenable (236542). Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
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: 236542
Nessus Name: Alibaba Cloud Linux 3 : 0151: mariadb:10.5 (ALINUX3-SA-2022:0151)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/21/2022 🔍
04/14/2022 +23 days 🔍
04/14/2022 +0 days 🔍
05/22/2025 +1133 days 🔍

Sourcesinfo

Advisory: jira.mariadb.org
Status: Confirmed

CVE: CVE-2022-27445 (🔍)
GCVE (CVE): GCVE-0-2022-27445
GCVE (VulDB): GCVE-100-197324

Entryinfo

Created: 04/14/2022 16:59
Updated: 05/22/2025 00:16
Changes: 04/14/2022 16:59 (37), 04/19/2022 17:57 (1), 05/22/2025 00:16 (16)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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