kidaze CourseSelectionSystem up to 42cd892b40a18d50bd4ed1905fa89f939173a464 COUNT3s4.php cbranch sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.9$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in kidaze CourseSelectionSystem up to 42cd892b40a18d50bd4ed1905fa89f939173a464. Affected is an unknown function of the file /Profilers/PriProfile/COUNT3s4.php. The manipulation of the argument cbranch leads to sql injection. This vulnerability is documented as CVE-2025-11089. The attack can be initiated remotely. Additionally, an exploit exists. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in kidaze CourseSelectionSystem up to 42cd892b40a18d50bd4ed1905fa89f939173a464. This issue affects some unknown processing of the file /Profilers/PriProfile/COUNT3s4.php. The manipulation of the argument cbranch with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-11089. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The exploit is available at github.com. It is declared as proof-of-concept. By approaching the search of inurl:Profilers/PriProfile/COUNT3s4.php it is possible to find vulnerable targets with Google Hacking.

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 databases at CNNVD (CNNVD-202509-4315) and EUVD (EUVD-2025-31446). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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: 8.1
VulDB Meta Temp Score: 7.9

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔒

CNA Base Score: 7.3
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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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: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Google Hack: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

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

09/27/2025 Advisory disclosed
09/27/2025 +0 days VulDB entry created
10/07/2025 +10 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2025-11089 (🔒)
GCVE (CVE): GCVE-0-2025-11089
GCVE (VulDB): GCVE-100-326171
EUVD: 🔒
CNNVD: CNNVD-202509-4315 - CourseSelectionSystem SQL注入漏洞

scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 09/27/2025 07:26
Updated: 10/07/2025 20:59
Changes: 09/27/2025 07:26 (56), 09/28/2025 04:44 (30), 09/28/2025 05:16 (1), 09/29/2025 17:54 (6), 10/07/2025 20:59 (11)
Complete: 🔍
Submitter: THEV
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #661282: github.com CourseSelectionSystem V1.0 SQL Injection (by THEV)

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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