CVE-2025-58829 is a Server-Side Request Forgery (SSRF) vulnerability identified in the aitool Ai Auto Tool Content Writing Assistant (also known as Gemini Writer, ChatGPT All in One) affecting versions up to 2.2.6. SSRF vulnerabilities occur when an attacker can manipulate a server-side application to make HTTP requests to arbitrary domains or internal systems, potentially bypassing network access controls. In this case, the vulnerability allows an attacker with low privileges (PR:L) and no user interaction (UI:N) to induce the server to send crafted requests. The CVSS 3.1 base score is 4.9 (medium severity), reflecting that the attack vector is network-based (AV:N) but requires high attack complexity (AC:H), and only partial impact on confidentiality and integrity (C:L/I:L), with no impact on availability (A:N). The scope is changed (S:C), meaning the vulnerability affects resources beyond the initially vulnerable component. Although no known exploits are currently in the wild and no patches have been published yet, the vulnerability could allow attackers to access internal services, potentially exposing sensitive data or enabling further attacks such as internal reconnaissance or pivoting within a network. The vulnerability is categorized under CWE-918, which is a common weakness related to SSRF. The affected product is a content writing assistant tool that integrates AI capabilities, which may be used in various organizational environments, including European enterprises.

For European organizations using the aitool Ai Auto Tool Content Writing Assistant, this SSRF vulnerability could lead to unauthorized internal network access. Attackers might exploit this flaw to reach internal services that are otherwise inaccessible externally, potentially exposing sensitive information or enabling lateral movement within corporate networks. Given the partial confidentiality and integrity impacts, attackers could read or manipulate data from internal endpoints, which may include internal APIs, metadata services, or other critical infrastructure components. While availability is not directly impacted, the breach of confidentiality and integrity could lead to data leaks, intellectual property theft, or manipulation of content generated by the tool, undermining trust and compliance with data protection regulations such as GDPR. The medium severity score suggests a moderate risk, but the changed scope indicates that the impact could extend beyond the application itself, affecting broader network resources. Organizations in sectors with high reliance on AI content tools or those integrating this product into their workflows should be particularly cautious.

Since no patches are currently available, European organizations should implement compensating controls to mitigate the risk. These include: 1) Restricting outbound HTTP requests from the server hosting the Ai Auto Tool to only trusted external endpoints using network-level controls such as firewall rules or proxy whitelisting. 2) Implementing strict input validation and sanitization on any user-supplied URLs or parameters that the tool processes to prevent malicious request manipulation. 3) Monitoring and logging outbound requests from the application server to detect anomalous or unexpected internal network access attempts. 4) Segmenting the network to isolate the application server from sensitive internal services, reducing the potential impact of SSRF exploitation. 5) Reviewing and minimizing the privileges of the application service account to limit access scope. 6) Staying alert for vendor updates or patches and applying them promptly once released. Additionally, conducting internal penetration testing focused on SSRF scenarios can help identify and remediate related weaknesses.