CVE-2026-4996
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedA vulnerability was identified in Sinaptik AI PandasAI up to 0.1.4. Affected by this issue is the function delete_question_and_answers/delete_docs/update_question_answer/update_docs/get_relevant_question_answers_by_id/get_relevant_docs_by_id of the file extensions/ee/vectorstores/lancedb/pandasai_lancedb/lancedb.py of the component pandasai-lancedb Extension. Such manipulation leads to sql injection. The attack can be launched remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceSQL injection vulnerability in Sinaptik AI PandasAI (pandasai-lancedb extension) up to version 0.1.4. Multiple functions (delete_question_and_answers, delete_docs, update_question_answer, update_docs, get_relevant_question_answers_by_id, get_relevant_docs_by_id) in the LanceDB vectorstore component construct SQL queries through unsafe string concatenation, allowing attackers to inject malicious SQL via function parameters.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- Low
- Integrity
- Low
- Availability
- Low
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Verify pandasai-lancedb is installedRun 'pip show pandasai-lancedb' or inspect your project dependencies (requirements.txt, poetry.lock, pyproject.toml) for the pandasai-lancedb packageAffected if The package is present in your environment
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Check pandasai-lancedb versionRun 'pip show pandasai-lancedb' and note the Version field. Compare your version against the affected range: 0.1.4 and belowAffected if Installed version is 0.1.4 or lower
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Identify LanceDB vectorstore usageSearch your codebase for imports or instantiations of LanceDB vectorstore: look for 'from pandasai.ee.lancedb' or 'LanceDBVectorStore' class usageAffected if Your code uses the LanceDB vectorstore component from pandasai-lancedb
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Check for affected function invocationsSearch your codebase for calls to any of these six functions: delete_question_and_answers, delete_docs, update_question_answer, update_docs, get_relevant_question_answers_by_id, get_relevant_docs_by_idAffected if Any of these functions are invoked with potentially user-controlled input
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Inspect SQL construction in LanceDB integrationReview the pandasai-lancedb source code or your wrapper code that interacts with LanceDB. Look for SQL queries built via string concatenation (+), f-strings, or .format() rather than parameterized queriesAffected if SQL queries are constructed using unsafe string concatenation
You are affected if pandasai-lancedb version 0.1.4 or lower is installed AND your application uses LanceDB vectorstore with any of the six vulnerable functions receiving untrusted input.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
From vendor dataUpgrade to a patched version of pandasai-lancedb. If no patch available, refactor affected functions to use parameterized queries or prepared statements instead of string concatenation for SQL construction.
- Consultation3.0 h
- Implementation8.0 h
- Testing4.0 h
- Review / QA3.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-4996 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-4996 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Version or environment caveats, and links to real fixes
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