CVE-2025-10597VulnerabilityPublished 17 Sep 2025

CVE-2025-10597: kidaze CourseSelectionSystem · SQL Injection

Affects kidaze CourseSelectionSystemSource CVE Database V5

Not known to be exploited · CVSS 6.9 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 4.0 base score

6.9Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.4% chance of exploitation in 30 days – higher than 40% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: None
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: Low
Vulnerable system availability: Low
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact to the Vulnerable System.
Vulnerable system availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Vulnerable System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 17 Sep 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

AI-suggested

To mitigate this vulnerability, organizations should immediately audit and sanitize all inputs, especially the 'cname' parameter in the /Profilers/PriProfile/COUNT2.php file, to ensure proper validation and escaping of SQL commands. Implementing parameterized queries or prepared statements is critical to prevent SQL injection attacks. Since the product uses a rolling release model, organizations should monitor vendor updates closely and apply patches or updates as soon as they become available. In the absence of official patches, deploying Web Application Firewalls (WAFs) with rules targeting SQL injection patterns can provide a temporary protective layer. Regular security assessments and code reviews focusing on input validation should be conducted to identify and remediate similar vulnerabilities. Additionally, restricting database user permissions to the minimum necessary can limit the potential damage from exploitation. Logging and monitoring database queries for unusual activity can help detect exploitation attempts early. Finally, educating developers and administrators about secure coding practices and the risks of SQL injection will help prevent future occurrences.

Description

A vulnerability was determined in kidaze CourseSelectionSystem up to 42cd892b40a18d50bd4ed1905fa89f939173a464. This vulnerability affects unknown code of the file /Profilers/PriProfile/COUNT2.php. This manipulation of the argument cname causes sql injection. The attack may be initiated remotely. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available.

Impact

For European organizations, particularly educational institutions such as universities and colleges that utilize the kidaze CourseSelectionSystem, this vulnerability poses a significant risk to the confidentiality and integrity of student and administrative data. Successful exploitation could lead to unauthorized disclosure of personal information, manipulation of course enrollment data, or disruption of academic processes. Given the sensitivity of educational records under regulations like GDPR, any data breach could result in regulatory penalties and reputational damage. Additionally, the ability to execute arbitrary SQL commands could be leveraged to pivot attacks within the network, potentially compromising other connected systems. The medium severity rating suggests that while the vulnerability is exploitable remotely without authentication, the overall impact is somewhat limited, possibly due to the scope of accessible data or existing compensating controls. Nonetheless, the threat is non-trivial and warrants prompt attention to prevent data breaches and maintain operational integrity.

References

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Exploitation evidence

What to do

Description

AI analysisMachine-generated, updated 17 Sep 2025, 17:49 UTC

Technical details

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