Description

A vulnerability has been found in SourceCodester Onlne Examination & Learning Management System 1.0. Affected by this vulnerability is an unknown functionality. The manipulation leads to cross-site request forgery. The attack can be initiated remotely.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "4.3",
  "pubDate": "2026-08-18T03:16:40.923Z",
  "pubdate": "2026-08-18T03:16:40.923Z",
  "executiveSummary": "A security vulnerability has been identified in SourceCodester Online Examination & Learning Management System 1.0, specifically affecting an unspecified functionality within the application. The vulnerability is categorized as Cross-Site Request Forgery (CSRF). This flaw allows remote attackers to trick authenticated users into executing unauthorized actions against the web application without their explicit consent or knowledge.\nThe impact of successful exploitation includes the potential unauthorized execution of state-changing operations within the context of the victim's session. Depending on the privileges held by the targeted user, an attacker could manipulate system settings, modify user data, or perform administrative tasks. The risk implication is moderate to high, as it compromises the integrity and confidentiality of the web application data.\nThe attack can be initiated remotely by an unauthenticated or external malicious actor, typically through social engineering techniques such as enticing a victim to visit a malicious website or click a crafted link containing a forged HTTP request. Exploitation relies on the target application failing to validate the origin of requests or lacking robust anti-CSRF tokens for sensitive state-changing transactions. No specific advanced authentication requirements are imposed on the attacker, as the malicious payload leverages the active session of the authenticated victim.",
  "technicalDetails": "The vulnerability stems from an absence of proper request verification mechanisms, such as anti-CSRF tokens (e.g., synchronizer token pattern) or SameSite cookie attributes, within SourceCodester Online Examination & Learning Management System 1.0. The affected component involves unknown administrative or user-facing functionality that processes state-changing HTTP requests without validating whether the request originated from a trusted, user-intended interface.\nThe root cause of the vulnerability is the application's reliance solely on session identifiers (such as cookies) that are automatically included by the victim's browser in cross-origin requests, without implementing secondary cryptographic verification to ensure the request's authenticity. Consequently, when an authenticated user visits a remote site controlled by an attacker, the browser automatically dispatches forged HTTP requests (GET, POST, PUT, or DELETE) to the vulnerable application endpoint.\nThe attack flow proceeds as follows: First, the attacker crafts a malicious HTML page or script hosted on an external domain containing automated form submissions or image tags configured to target the vulnerable functionality of SourceCodester Online Examination & Learning Management System 1.0. Second, the attacker induces a legitimate, authenticated user of the target system to access the malicious resource via phishing, spear-phishing, or malicious ad networks. Third, the victim's web browser automatically includes the valid session credentials (cookies or HTTP Basic Authentication) associated with the SourceCodester application in the outbound request to the vulnerable endpoint. Fourth, the application processes the incoming request, falsely assuming it is a legitimate action initiated consciously by the authenticated user.\nBecause the vulnerability is exposed over the network, it is remotely exploitable. The attacker does not require direct access to the internal network or prior credentials for the system, provided they can successfully target an active user session. Depending on the exact functionality being manipulated, post-exploitation impact may range from unauthorized profile alterations to privilege escalation or data corruption within the learning management system."
}