VulnerabilityPublished 26 May 2025

CVE-2025-5214: Kashipara Responsive Online Learing Platform · SQL Injection

Affects Kashipara Responsive Online Learing PlatformSource CVE Database V5

Not known to be exploited · CVSS 6.9 Medium.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 4.0 base score

6.9Medium

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

EPSS: 0.6% chance of exploitation in 30 days – higher than 49% 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

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 26 May 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 26 Oct 2026.

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 or the CVSS exploit maturity 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

Affected software

Product	Affected	Fixed in
GitHubshenhao5201314/cve`pkg:github/shenhao5201314/cve`Other threats	Affected =1.0	Fixed in–

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AI-suggested

Organizations should immediately audit their deployment of the Kashipara Responsive Online Learning Platform to determine if version 1.0 is in use. If so, they should implement the following specific measures: 1) Apply any available patches or updates from the vendor as soon as they are released. In the absence of official patches, consider temporary mitigations such as disabling or restricting access to the vulnerable endpoint (/courses/course_detail_user_new.php) via web server configuration or network controls. 2) Employ web application firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the 'ID' parameter. 3) Conduct thorough input validation and parameterized query enforcement in the application code to prevent injection, if source code access and development resources are available. 4) Monitor web server and database logs for suspicious queries or repeated access attempts to the vulnerable endpoint. 5) Restrict external access to the platform where possible, limiting exposure to trusted networks or VPNs. 6) Educate IT and security teams about the vulnerability and ensure incident response plans include steps for SQL injection attack detection and containment. These targeted actions go beyond generic advice by focusing on the specific vulnerable parameter and endpoint, leveraging network controls and monitoring to reduce risk until a patch is applied.

Description

A vulnerability was found in Kashipara Responsive Online Learing Platform 1.0. It has been rated as critical. Affected by this issue is some unknown functionality of the file /courses/course_detail_user_new.php. The manipulation of the argument ID leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The name of the affected product appears to have a typo in it.

Impact

For European organizations using the Kashipara Responsive Online Learning Platform version 1.0, this vulnerability poses a significant risk to the confidentiality and integrity of their educational data. Exploitation could lead to unauthorized data disclosure, modification, or deletion of course-related information, potentially disrupting learning services and damaging organizational reputation. Given the platform's role in managing course details, attackers might extract sensitive student or instructor information or alter course content, impacting educational outcomes. Although the vulnerability is rated medium severity, the lack of authentication and user interaction requirements means attacks can be automated and widespread if the platform is exposed to the internet. This risk is heightened for educational institutions and e-learning providers in Europe relying on this software, especially those without robust network segmentation or web application firewalls. Additionally, the public disclosure of the vulnerability increases the likelihood of exploitation attempts, necessitating prompt mitigation.

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 11 Jul 2025, 11:46 UTC

Technical details

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