An improper access control vulnerability has been discovered in EmbedAI versions 2.1 and below. This vulnerability allows an authenticated attacker to leverage the endpoint "/embedai/visits/show/<VISIT_ID>" to obtain sensitive information about other users' visits. The information exposed through this endpoint includes IP addresses, user agents, and the geographical location of the users who visited the web page.
The severity level is classified as medium, with a CVSS score of 5.3. This score indicates that while the vulnerability poses a risk, it may require specific conditions or parameters for effective exploitation. Given the nature of the exposed information, organizations using affected versions of EmbedAI are advised to take immediate action.
Currently, there is no known public exploit for this vulnerability, and it is not listed in the Known Exploited Vulnerabilities (KEV) database. Nonetheless, the potential for data exposure underscores the importance of addressing this vulnerability without delay.
Organizations should prioritize patching immediately to protect against unauthorized access to sensitive user information, as failure to do so may lead to data breaches and regulatory implications.
Vulnerability Details
The CVE-2025-0743 vulnerability arises from improper access control mechanisms within EmbedAI, a product developed by thesamur. The CVSS score is sourced from both the INCIBE and NVD databases, reflecting a medium severity classification.
The vulnerability is categorized under CWE-284, indicating an access control issue. It was published on January 30, 2025, and has been analyzed for its potential impact.
Technical Analysis
The root cause of this vulnerability lies in the lack of proper access control checks on the specified endpoint, allowing authenticated attackers to retrieve sensitive data about other users. The attack vector is network-based, requiring no physical access to the system.
The complexity of the attack is classified as low, with no privileges required beyond authenticated access. This means that an attacker with basic access can exploit this vulnerability without any special permissions or user interactions.
The confidentiality impact is low, as the attacker can only access user visit information without compromising the integrity or availability of the system.
Risk & Impact Analysis
The real-world deployment risk associated with CVE-2025-0743 is significant, given that sensitive user information can be exposed to authenticated attackers. This vulnerability can lead to reputational damage and regulatory scrutiny for organizations that fail to act.
The potential blast radius includes all users of EmbedAI 2.1 and earlier, as the vulnerability affects the core functionality of the application. Organizations must assess the urgency of remediation based on their operational context and the sensitivity of the data involved.
Given the current CVSS score and the absence of known exploits, organizations should address this vulnerability in their priority patch cycle to mitigate potential risks.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerability affects EmbedAI versions 2.1 and below. Organizations should upgrade to the latest version to mitigate the risks associated with this vulnerability.
Mitigation & Remediation
Organizations are encouraged to apply the latest updates provided by thesamur to address this vulnerability. If a patch is unavailable, consider implementing configuration hardening on the affected systems to limit user access based on roles.
Additionally, monitoring user activity and conducting regular security assessments can help identify any unusual access patterns that may indicate exploitation attempts.
For more comprehensive security measures, organizations may explore services such as penetration testing to validate the effectiveness of their security posture.
Detection Guidance
Organizations should monitor logs for indicators of unauthorized access attempts, including unusual patterns related to the endpoint used for visits. Behavioral anomalies, such as access requests for user data not relevant to the requesting user, should also be flagged.
Employing network signatures to detect unauthorized API calls can further enhance security monitoring capabilities.
AppSecure Threat Intelligence Insight
The discovery of CVE-2025-0743 highlights the ongoing need for organizations to maintain robust access controls within their applications. This vulnerability serves as a reminder that improper access control can lead to significant data exposure, even in authenticated user scenarios.
As attackers continuously seek ways to exploit vulnerabilities in systems, organizations must prioritize security assessments and implement effective security frameworks. For more insights on best practices, organizations can reference our guide on security testing best practices. Furthermore, understanding the patterns of vulnerabilities can aid in proactive defenses against future threats.
For deeper insights on the threats posed by improper access control, organizations may also explore our resources on vulnerability management programs and their importance in maintaining a secure environment.
Lastly, organizations should consider engaging in penetration testing to validate their defenses against similar vulnerabilities.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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