jleyva Configurable Reports Plugin up to 5.3.0 Configurable Reports Block viewreport.php report_sql::prepare_sql filter_var sql injection

CVSS Meta Temp Score
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CTI Interest Score
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5.7$0-$5k1.35

Summaryinfo

A vulnerability, which was classified as critical, has been found in jleyva Configurable Reports Plugin up to 5.3.0. The affected element is the function report_sql::prepare_sql of the file viewreport.php of the component Configurable Reports Block. This manipulation of the argument filter_var causes sql injection. This vulnerability is tracked as CVE-2026-113608. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical was found in jleyva Configurable Reports Plugin up to 5.3.0. Affected by this vulnerability is the function report_sql::prepare_sql of the file viewreport.php of the component Configurable Reports Block. The manipulation of the argument filter_var with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Configurable Reports block for Moodle (moodle-block_configurablereports) before 5.3.1 contains an sql injection vulnerability in report_sql::prepare_sql() via the filter_var request parameter of viewreport.php. Low-privileged users permitted to view reports using the %%FILTER_VAR%% placeholder can inject subqueries or UNION SELECT to read arbitrary database tables, including user password hashes.

The advisory is shared at github.com. This vulnerability is known as CVE-2026-113608 since 10/20/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.

By approaching the search of inurl:viewreport.php it is possible to find vulnerable targets with Google Hacking.

Upgrading to version 5.3.1 eliminates this vulnerability. Applying the patch 1a9fea4b98b093912c6432ea3705c7b1eff4efc0 is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.

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

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 5.8
VulDB Meta Temp Score: 5.7

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.3
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

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

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: Configurable Reports Plugin 5.3.1
Patch: 1a9fea4b98b093912c6432ea3705c7b1eff4efc0

Timelineinfo

10/20/2026 Advisory disclosed
10/20/2026 +0 days CVE reserved
10/20/2026 +0 days VulDB entry created
10/20/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-113608 (🔒)
GCVE (CVE): GCVE-0-2026-113608
GCVE (VulDB): GCVE-100-422857

Entryinfo

Created: 10/20/2026 17:58
Changes: 10/20/2026 17:58 (81)
Complete: 🔍
Cache ID: 216::103

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

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