CVE-2024-5752
March 20, 2025, 10:15 a.m.
9.1
Critical
Description
A path traversal vulnerability exists in stitionai/devika, specifically in the project creation functionality. In the affected version beacf6edaa205a5a5370525407a6db45137873b3, the project name is not validated, allowing an attacker to create a project with a crafted name that traverses directories. This can lead to arbitrary file overwrite when the application generates code and saves it to the specified project directory, potentially resulting in remote code execution.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Stitionai |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | stitionai | devika | beacf6edaa205a5a5370525407a6db45137873b3 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.0
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H
Timeline
Published: March 20, 2025, 10:15 a.m.
Last Modified: March 20, 2025, 10:15 a.m.
Last Modified: March 20, 2025, 10:15 a.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security@huntr.dev
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.