CVE-2025-9805: Server-Side Request Forgery in SimStudioAI sim
A vulnerability was found in SimStudioAI sim up to 51b1e97fa22c48d144aef75f8ca31a74ad2cfed2. This issue affects some unknown processing of the file apps/sim/app/api/proxy/image/route.ts. The manipulation results in server-side request forgery. The attack may be performed from remote. The exploit has been made public and could be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The patch is identified as 3424a338b763115f0269b209e777608e4cd31785. Applying a patch is advised to resolve this issue.
AI Analysis
Technical Summary
CVE-2025-9805 is a server-side request forgery (SSRF) vulnerability identified in the SimStudioAI product named 'sim', specifically affecting versions up to commit 51b1e97fa22c48d144aef75f8ca31a74ad2cfed2. The vulnerability arises from improper handling of requests in the file apps/sim/app/api/proxy/image/route.ts, which allows an attacker to manipulate server-side requests. SSRF vulnerabilities enable attackers to make the server perform unintended requests to internal or external resources, potentially bypassing network access controls. This can lead to unauthorized access to internal systems, data exfiltration, or further exploitation of internal services. The vulnerability can be exploited remotely without user interaction or authentication, increasing its risk profile. The product uses a rolling release system, so exact affected versions are tied to specific commits rather than traditional version numbers. A patch has been identified (commit 3424a338b763115f0269b209e777608e4cd31785) and applying it is recommended to mitigate the issue. The CVSS v4.0 score is 5.3 (medium severity), reflecting network attack vector, low complexity, no privileges or user interaction required, and limited impact on confidentiality, integrity, and availability. No known exploits in the wild have been reported yet, but public exploit details exist, indicating potential for exploitation.
Potential Impact
For European organizations using SimStudioAI's 'sim' product, this SSRF vulnerability poses a moderate risk. Exploitation could allow attackers to access internal network resources that are otherwise inaccessible from the internet, potentially exposing sensitive internal services, databases, or administrative interfaces. This could lead to data leakage, unauthorized internal reconnaissance, or pivoting to more critical systems. Given that the vulnerability requires no authentication or user interaction, attackers can attempt exploitation at scale. Organizations in sectors with high reliance on AI simulation tools, such as manufacturing, automotive, aerospace, or research institutions, may face increased risk if they deploy this product in their infrastructure. The medium severity rating suggests that while the immediate impact may be limited, the SSRF could serve as a stepping stone for more severe attacks if combined with other vulnerabilities or misconfigurations. Additionally, the rolling release nature of the product means organizations must maintain vigilant patch management to ensure timely updates.
Mitigation Recommendations
European organizations should immediately identify deployments of SimStudioAI 'sim' and verify the commit versions in use. Applying the patch corresponding to commit 3424a338b763115f0269b209e777608e4cd31785 is critical to remediate the SSRF vulnerability. Network segmentation should be enforced to limit the server's ability to access sensitive internal resources, reducing the impact of potential SSRF exploitation. Implement strict input validation and sanitization on any user-supplied URLs or parameters that the application processes to prevent malicious request manipulation. Employ web application firewalls (WAFs) with rules designed to detect and block SSRF patterns. Monitor logs for unusual outbound requests from the affected service, which may indicate exploitation attempts. Additionally, conduct regular security assessments and penetration testing focusing on SSRF and related vulnerabilities. Given the rolling release model, establish continuous integration of security updates and maintain close communication with the vendor for timely patch releases.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy
CVE-2025-9805: Server-Side Request Forgery in SimStudioAI sim
Description
A vulnerability was found in SimStudioAI sim up to 51b1e97fa22c48d144aef75f8ca31a74ad2cfed2. This issue affects some unknown processing of the file apps/sim/app/api/proxy/image/route.ts. The manipulation results in server-side request forgery. The attack may be performed from remote. The exploit has been made public and could be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The patch is identified as 3424a338b763115f0269b209e777608e4cd31785. Applying a patch is advised to resolve this issue.
AI-Powered Analysis
Technical Analysis
CVE-2025-9805 is a server-side request forgery (SSRF) vulnerability identified in the SimStudioAI product named 'sim', specifically affecting versions up to commit 51b1e97fa22c48d144aef75f8ca31a74ad2cfed2. The vulnerability arises from improper handling of requests in the file apps/sim/app/api/proxy/image/route.ts, which allows an attacker to manipulate server-side requests. SSRF vulnerabilities enable attackers to make the server perform unintended requests to internal or external resources, potentially bypassing network access controls. This can lead to unauthorized access to internal systems, data exfiltration, or further exploitation of internal services. The vulnerability can be exploited remotely without user interaction or authentication, increasing its risk profile. The product uses a rolling release system, so exact affected versions are tied to specific commits rather than traditional version numbers. A patch has been identified (commit 3424a338b763115f0269b209e777608e4cd31785) and applying it is recommended to mitigate the issue. The CVSS v4.0 score is 5.3 (medium severity), reflecting network attack vector, low complexity, no privileges or user interaction required, and limited impact on confidentiality, integrity, and availability. No known exploits in the wild have been reported yet, but public exploit details exist, indicating potential for exploitation.
Potential Impact
For European organizations using SimStudioAI's 'sim' product, this SSRF vulnerability poses a moderate risk. Exploitation could allow attackers to access internal network resources that are otherwise inaccessible from the internet, potentially exposing sensitive internal services, databases, or administrative interfaces. This could lead to data leakage, unauthorized internal reconnaissance, or pivoting to more critical systems. Given that the vulnerability requires no authentication or user interaction, attackers can attempt exploitation at scale. Organizations in sectors with high reliance on AI simulation tools, such as manufacturing, automotive, aerospace, or research institutions, may face increased risk if they deploy this product in their infrastructure. The medium severity rating suggests that while the immediate impact may be limited, the SSRF could serve as a stepping stone for more severe attacks if combined with other vulnerabilities or misconfigurations. Additionally, the rolling release nature of the product means organizations must maintain vigilant patch management to ensure timely updates.
Mitigation Recommendations
European organizations should immediately identify deployments of SimStudioAI 'sim' and verify the commit versions in use. Applying the patch corresponding to commit 3424a338b763115f0269b209e777608e4cd31785 is critical to remediate the SSRF vulnerability. Network segmentation should be enforced to limit the server's ability to access sensitive internal resources, reducing the impact of potential SSRF exploitation. Implement strict input validation and sanitization on any user-supplied URLs or parameters that the application processes to prevent malicious request manipulation. Employ web application firewalls (WAFs) with rules designed to detect and block SSRF patterns. Monitor logs for unusual outbound requests from the affected service, which may indicate exploitation attempts. Additionally, conduct regular security assessments and penetration testing focusing on SSRF and related vulnerabilities. Given the rolling release model, establish continuous integration of security updates and maintain close communication with the vendor for timely patch releases.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-09-01T14:52:07.245Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68b63eafad5a09ad00d5e50e
Added to database: 9/2/2025, 12:47:43 AM
Last enriched: 9/2/2025, 1:03:13 AM
Last updated: 9/3/2025, 4:51:37 AM
Views: 7
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