CVE-2026-30273
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 · uneditedpandas-ai v3.0.0 was discovered to contain a SQL injection vulnerability via the pandasai.agent.base._execute_sql_query component.
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 · moderate confidencepandas-ai v3.0.0 contains a SQL injection vulnerability in the pandasai.agent.base._execute_sql_query component, allowing attackers to inject malicious SQL commands through unsanitized user input that flows into SQL query execution.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data<= 3.0.0CVSS 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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Identify installed pandas-ai versionRun 'pip show pandas-ai' or check your dependency lock file for the pandas-ai versionAffected if Version is 3.0.0 or any version <= 3.0.0 from the Gabrieleventuri package
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Locate the _execute_sql_query componentSearch for 'pandasai.agent.base' module in your codebase or installed package, specifically the _execute_sql_query functionAffected if This function exists in your installed pandas-ai package (indicates the vulnerable component is present)
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Check for SQL query execution usageSearch your application code for imports or calls to pandasai.agent.base._execute_sql_query, or usage of pandas-ai's SQL execution capabilitiesAffected if Your application or any integrated component calls or references the SQL query execution feature
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Audit user input flow to SQL queriesReview how user-provided data enters your pandas-ai integration - check for direct string interpolation or concatenation of user input into SQL query parameters passed to the _execute_sql_query functionAffected if User input is passed directly to SQL query construction without parameterized queries or input validation
You are affected if you have pandas-ai version 3.0.0 or lower installed AND your application uses the SQL query execution feature with unsanitized user input flowing into the queries.
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 dataImplement parameterized queries or prepared statements to separate SQL logic from user data, and apply strict input validation on all fields used in SQL query construction.
- Consultation3.0 h
- Implementation8.0 h
- Testing4.0 h
- Review / QA2.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $4,800.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-30273 — 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-2026-30273 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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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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