OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, multiple storage helpers used path construction patterns that did not uniformly enforce base-directory containment. This created path-injection risk in file read/write/delete flows if malicious path-like values were introduced.
This issue has been patched in version 1.6.3-alpha.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Privileges Required
Low
Basic privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
High
Complete data leak
Integrity
High
Complete data modification
Availability
High
Complete denial of service
CVSS Vector v3.1
Weakness Type (CWE)
Vulnerable Products 1
| Configuration | From (including) | Up to (excluding) |
|---|---|---|
|
Opensift Opensift
cpe:2.3:a:opensift:opensift:*:*:*:*:*:python:*:*
|
— |
1.6.3
|
References 5
https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a…
security-advisories@github.com
https://github.com/OpenSift/OpenSift/commit/de99b9c
security-advisories@github.com
https://github.com/OpenSift/OpenSift/pull/67
security-advisories@github.com
https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha
security-advisories@github.com
https://github.com/OpenSift/OpenSift/security/advisories/GHSA-ww4m-c7hv-2rqv
security-advisories@github.com