Grafana Microsoft SQL Server/MySQL/PostgreSQL Macro Parsing memory allocation

CVSS Meta Temp Score
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CTI Interest Score
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5.4$0-$5k0.48+

Summaryinfo

A vulnerability was found in Grafana Microsoft SQL Server, MySQL and PostgreSQL. It has been rated as problematic. This impacts an unknown function of the component Macro Parsing. This manipulation causes memory allocation. The identification of this vulnerability is CVE-2026-19475. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability has been found in Grafana Microsoft SQL Server, MySQL and PostgreSQL (version unknown) and classified as problematic. Affected by this vulnerability is an unknown function of the component Macro Parsing. The manipulation with an unknown input leads to a memory allocation vulnerability. The CWE definition for the vulnerability is CWE-789. The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated. As an impact it is known to affect availability. The summary by CVE is:

An authenticated user with permission to query a SQL data source can bypass the fix for CVE-2026-33375 by injecting the timeGroup macro through a WHERE clause, which Grafana's regex-based macro parsing does not reject. Evaluating the injected macro causes uncontrolled memory consumption that can terminate the Grafana server process, resulting in a denial of service. The Microsoft SQL Server, PostgreSQL, and MySQL data sources are affected.

The advisory is shared at grafana.com. This vulnerability is known as CVE-2026-19475 since 08/10/2026. The exploitation appears to be easy. The attack can be launched remotely. Neither technical details nor an exploit are publicly available.

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 EUVD (EUVD-2026-70104). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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Vendor

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License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.5
CNA Vector (GRAFANA): 🔒

CVSSv2info

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

Exploitinginfo

Class: Memory allocation
CWE: CWE-789 / CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

08/10/2026 CVE reserved
09/02/2026 +23 days Advisory disclosed
09/02/2026 +0 days VulDB entry created
09/02/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: grafana.com
Status: Confirmed

CVE: CVE-2026-19475 (🔒)
GCVE (CVE): GCVE-0-2026-19475
GCVE (VulDB): GCVE-100-398209
EUVD: 🔒

Entryinfo

Created: 09/02/2026 18:13
Updated: 09/02/2026 19:09
Changes: 09/02/2026 18:13 (61), 09/02/2026 19:09 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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