CVE-2025-7107: Path Traversal in SimStudioAI sim
A vulnerability classified as critical has been found in SimStudioAI sim up to 0.1.17. Affected is the function handleLocalFile of the file apps/sim/app/api/files/parse/route.ts. The manipulation of the argument filePath leads to path traversal. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. The patch is identified as b2450530d1ddd0397a11001a72aa0fde401db16a. It is recommended to apply a patch to fix this issue.
AI Analysis
Technical Summary
CVE-2025-7107 is a path traversal vulnerability identified in SimStudioAI's product 'sim' versions up to 0.1.17. The vulnerability exists in the handleLocalFile function located in the file apps/sim/app/api/files/parse/route.ts. The issue arises from improper validation or sanitization of the filePath argument, which allows an attacker to manipulate the input to traverse directories outside the intended file system scope. This can enable unauthorized access to arbitrary files on the server hosting the application. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. The CVSS 4.0 base score is 6.9, indicating a medium severity level, with an attack vector of network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The impact is limited to confidentiality (VC:L), with no impact on integrity or availability. The vulnerability has been publicly disclosed, and a patch is available (commit b2450530d1ddd0397a11001a72aa0fde401db16a). However, there are no known exploits in the wild at this time. Path traversal vulnerabilities can lead to sensitive information disclosure, including configuration files, credentials, or other critical data stored on the server, which can be leveraged for further attacks or lateral movement within a network.
Potential Impact
For European organizations using SimStudioAI sim, this vulnerability poses a risk of unauthorized disclosure of sensitive internal files, potentially exposing intellectual property, user data, or system configuration details. Given the remote exploitability without authentication, attackers could leverage this vulnerability to gain insights into the internal environment, facilitating further targeted attacks or data breaches. Organizations in sectors with high data sensitivity, such as finance, healthcare, or critical infrastructure, could face regulatory repercussions under GDPR if personal or sensitive data is exposed. Additionally, disclosure of internal files could undermine operational security and trust. The medium severity rating suggests that while the vulnerability is serious, it does not directly allow code execution or system compromise, but the confidentiality impact alone can be significant depending on the data accessed.
Mitigation Recommendations
European organizations should prioritize applying the official patch identified by commit b2450530d1ddd0397a11001a72aa0fde401db16a to all affected versions of SimStudioAI sim (0.1.0 through 0.1.17). Beyond patching, organizations should implement strict input validation and sanitization on all file path parameters to prevent path traversal attempts. Employing web application firewalls (WAFs) with custom rules to detect and block suspicious path traversal patterns can provide additional protection. Access controls on the file system should be reviewed and tightened to ensure that the application process has the minimum necessary permissions, limiting the impact of any successful traversal. Regular security audits and code reviews focusing on file handling functions are recommended to detect similar vulnerabilities. Monitoring logs for unusual file access patterns or errors related to file paths can help detect exploitation attempts early.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain
CVE-2025-7107: Path Traversal in SimStudioAI sim
Description
A vulnerability classified as critical has been found in SimStudioAI sim up to 0.1.17. Affected is the function handleLocalFile of the file apps/sim/app/api/files/parse/route.ts. The manipulation of the argument filePath leads to path traversal. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. The patch is identified as b2450530d1ddd0397a11001a72aa0fde401db16a. It is recommended to apply a patch to fix this issue.
AI-Powered Analysis
Technical Analysis
CVE-2025-7107 is a path traversal vulnerability identified in SimStudioAI's product 'sim' versions up to 0.1.17. The vulnerability exists in the handleLocalFile function located in the file apps/sim/app/api/files/parse/route.ts. The issue arises from improper validation or sanitization of the filePath argument, which allows an attacker to manipulate the input to traverse directories outside the intended file system scope. This can enable unauthorized access to arbitrary files on the server hosting the application. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. The CVSS 4.0 base score is 6.9, indicating a medium severity level, with an attack vector of network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The impact is limited to confidentiality (VC:L), with no impact on integrity or availability. The vulnerability has been publicly disclosed, and a patch is available (commit b2450530d1ddd0397a11001a72aa0fde401db16a). However, there are no known exploits in the wild at this time. Path traversal vulnerabilities can lead to sensitive information disclosure, including configuration files, credentials, or other critical data stored on the server, which can be leveraged for further attacks or lateral movement within a network.
Potential Impact
For European organizations using SimStudioAI sim, this vulnerability poses a risk of unauthorized disclosure of sensitive internal files, potentially exposing intellectual property, user data, or system configuration details. Given the remote exploitability without authentication, attackers could leverage this vulnerability to gain insights into the internal environment, facilitating further targeted attacks or data breaches. Organizations in sectors with high data sensitivity, such as finance, healthcare, or critical infrastructure, could face regulatory repercussions under GDPR if personal or sensitive data is exposed. Additionally, disclosure of internal files could undermine operational security and trust. The medium severity rating suggests that while the vulnerability is serious, it does not directly allow code execution or system compromise, but the confidentiality impact alone can be significant depending on the data accessed.
Mitigation Recommendations
European organizations should prioritize applying the official patch identified by commit b2450530d1ddd0397a11001a72aa0fde401db16a to all affected versions of SimStudioAI sim (0.1.0 through 0.1.17). Beyond patching, organizations should implement strict input validation and sanitization on all file path parameters to prevent path traversal attempts. Employing web application firewalls (WAFs) with custom rules to detect and block suspicious path traversal patterns can provide additional protection. Access controls on the file system should be reviewed and tightened to ensure that the application process has the minimum necessary permissions, limiting the impact of any successful traversal. Regular security audits and code reviews focusing on file handling functions are recommended to detect similar vulnerabilities. Monitoring logs for unusual file access patterns or errors related to file paths can help detect exploitation attempts early.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-07-05T19:27:06.479Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 686b335a6f40f0eb72dac3b5
Added to database: 7/7/2025, 2:39:22 AM
Last enriched: 7/7/2025, 2:54:58 AM
Last updated: 8/19/2025, 2:59:09 AM
Views: 31
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