Filtered by vendor Stitionai
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Total
4 CVE
CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
---|---|---|---|---|---|
CVE-2024-6331 | 1 Stitionai | 1 Devika | 2024-08-30 | N/A | 6.5 MEDIUM |
stitionai/devika main branch as of commit cdfb782b0e634b773b10963c8034dc9207ba1f9f is vulnerable to Local File Read (LFI) by Prompt Injection. The integration of Google Gimini 1.0 Pro with `HarmBlockThreshold.BLOCK_NONE` for `HarmCategory.HARM_CATEGORY_HATE_SPEECH` and `HarmCategory.HARM_CATEGORY_HARASSMENT` in `safety_settings` disables content protection. This allows malicious commands to be executed, such as reading sensitive file contents like `/etc/passwd`. | |||||
CVE-2024-7790 | 1 Stitionai | 1 Devika | 2024-08-20 | N/A | 5.4 MEDIUM |
A stored cross site scripting vulnerabilities exists in DevikaAI from commit 6acce21fb08c3d1123ef05df6a33912bf0ee77c2 onwards via improperly decoded user input. | |||||
CVE-2024-40422 | 1 Stitionai | 1 Devika | 2024-08-16 | N/A | 9.1 CRITICAL |
The snapshot_path parameter in the /api/get-browser-snapshot endpoint in stitionai devika v1 is susceptible to a path traversal attack. An attacker can manipulate the snapshot_path parameter to traverse directories and access sensitive files on the server. This can potentially lead to unauthorized access to critical system files and compromise the confidentiality and integrity of the system. | |||||
CVE-2024-5711 | 1 Stitionai | 1 Devika | 2024-07-11 | N/A | 6.1 MEDIUM |
A stored Cross-Site Scripting (XSS) vulnerability exists in the stitionai/devika chat feature, allowing attackers to inject malicious payloads into the chat input. This vulnerability is due to the lack of input validation and sanitization on both the frontend and backend components of the application. Specifically, the application fails to sanitize user input in the chat feature, leading to the execution of arbitrary JavaScript code in the context of the user's browser session. This issue affects all versions of the application. The impact of this vulnerability includes the potential for stolen credentials, extraction of sensitive information from chat logs, projects, and other data accessible through the application. |