CVE-2026-28676

Published: Mar 06, 2026 Last Modified: Mar 09, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,8
Attack Vector: network
Attack Complexity: low
Privileges Required: low
User Interaction: none
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

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.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0005
Percentile
0,2th
Updated

EPSS Score Trend (Last 10 Days)

22

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Stable
Common Consequences
Security Scopes Affected:
Integrity Confidentiality Availability
Potential Impacts:
Execute Unauthorized Code Or Commands Modify Files Or Directories Read Files Or Directories Dos: Crash, Exit, Or Restart
Applicable Platforms
Technologies: AI/ML
View CWE Details
https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a…
https://github.com/OpenSift/OpenSift/commit/de99b9c
https://github.com/OpenSift/OpenSift/pull/67
https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha
https://github.com/OpenSift/OpenSift/security/advisories/GHSA-ww4m-c7hv-2rqv