CVE intelligence and bounded remediation
CVE-2026-27189 — OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Versions 1.1.2-alpha and below, use non-atomic and insufficiently synchronized local JSON persistence flows, potentially causing concurrent operations to lose updates or corrupt local state across sessions/study/quiz/flashcard/wellness/auth stores. This issue has been fixed in version 1.1.3-alpha.
- Severity
- Medium
- CVSS
- 6.6 (3.1)
- Published
- 2026-02-21
- CISA KEV
- Not currently listed
- Ecosystem
- software/application
- Weaknesses
- CWE-362, CWE-367
Affected products
- opensift / opensift
Matched remediation archetype
Race condition, TOCTOU, and lifecycle synchronization
This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.
Check exposure
- Map concurrent actors, shared state, lock boundaries, signals, callbacks, retries, and check-then-use sequences in the affected path.
- Determine whether untrusted users can influence timing, object names, filesystem state, or repeated state transitions.
- Identify clustered and multi-process behavior that repository-local tests may not represent.
Remediate safely
- Make the sensitive state transition atomic or protect it with a consistently ordered synchronization primitive.
- Perform authorization and invariant checks on the same authoritative object and transaction used for the operation.
- Use unique private resources, safe ownership transfer, and idempotent operations; add deterministic concurrency regression tests.
Authoritative sources
Complete CVE record and remediation plan
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