Platform
python
Component
pandasai-lancedb
Fixed in
0.1.1
0.1.2
0.1.3
0.1.4
0.1.5
A SQL Injection vulnerability has been identified in the PandasAI LanceDB Extension, specifically within the deletequestionandanswers, deletedocs, updatequestionanswer, updatedocs, getrelevantquestionanswersbyid, and getrelevantdocsbyid functions of the lancedb.py file. This flaw allows attackers to inject malicious SQL code, potentially compromising the underlying database. The vulnerability affects versions 0.1.0 through 0.1.4 of the extension and is exploitable remotely. A public proof-of-concept exists, increasing the risk of exploitation.
Successful exploitation of CVE-2026-4996 allows an attacker to inject arbitrary SQL queries into the PandasAI LanceDB Extension's database interactions. This can lead to a wide range of malicious activities, including unauthorized data access, modification, or deletion. An attacker could extract sensitive information such as user credentials, application configurations, or proprietary data stored within the database. Furthermore, depending on the database permissions, an attacker might be able to escalate privileges and gain control over the entire system. The publicly available proof-of-concept significantly lowers the barrier to entry for attackers, making this a high-priority vulnerability to address.
CVE-2026-4996 is actively being tracked and a public proof-of-concept is available, indicating a high probability of exploitation. The vulnerability was disclosed on 2026-03-28. The vendor was contacted but did not respond. The availability of a public exploit suggests that attackers are already actively seeking to exploit this vulnerability. Monitor security advisories and threat intelligence feeds for any indications of ongoing exploitation campaigns.
Exploit Status
EPSS
0.04% (11% percentile)
CISA SSVC
The primary mitigation for CVE-2026-4996 is to upgrade to a patched version of the PandasAI LanceDB Extension. Unfortunately, a fixed version is not yet available. As a temporary workaround, implement a Web Application Firewall (WAF) with rules to filter out potentially malicious SQL injection attempts targeting the vulnerable functions. Input validation and sanitization on the application side can also help reduce the attack surface. Carefully review and restrict database user permissions to limit the potential impact of a successful attack. After implementing WAF rules or input validation, thoroughly test the application to ensure functionality remains intact and no false positives are introduced.
Update the pandasai-lancedb extension to a version later than 0.1.4. This will resolve the (SQL Injection) vulnerability. Refer to the PandasAI documentation for instructions on how to update the extension.
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CVE-2026-4996 is a SQL Injection vulnerability affecting versions 0.1.0–0.1.4 of the PandasAI LanceDB Extension, allowing attackers to inject malicious SQL code and potentially compromise the database.
If you are using the PandasAI LanceDB Extension in versions 0.1.0 through 0.1.4, you are potentially affected by this vulnerability. Upgrade as soon as a patch is available.
Upgrade to a patched version of the PandasAI LanceDB Extension. Until a patch is released, implement WAF rules and input validation as temporary mitigations.
A public proof-of-concept exists, indicating a high probability of active exploitation. Monitor security advisories and threat intelligence feeds.
As of this writing, no official advisory has been released by the vendor. Monitor the PandasAI GitHub repository and project website for updates.
CVSS Vector
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