Plattform
python
Komponente
pandasai
Behoben in
3.0.1
A Path Traversal vulnerability has been identified in Sinaptik AI PandasAI versions 3.0.0 and prior. This flaw resides within the issqlquerysafe function of pandasai/helpers/sqlsanitizer.py, allowing attackers to potentially access sensitive files on the system. A public exploit is available, increasing the risk of immediate exploitation. The vendor has not responded to early disclosure attempts.
Successful exploitation of CVE-2026-4997 allows an attacker to read arbitrary files on the server hosting the PandasAI application. This could include sensitive configuration files, database credentials, or even source code. The remote nature of the vulnerability means an attacker does not need local access to the system. The potential blast radius depends on the data accessible through the file system; exposure of database credentials could lead to complete data compromise and lateral movement within the network. The availability of a public exploit significantly elevates the risk of widespread exploitation.
This vulnerability has a public proof-of-concept available, indicating a high likelihood of exploitation. The CVE was published on 2026-03-28. It is not currently listed on CISA KEV, but its public exploit status warrants close monitoring. The lack of vendor response is concerning and suggests potential difficulties in obtaining a timely patch.
Exploit-Status
EPSS
0.07% (23% Perzentil)
CISA SSVC
CVSS-Vektor
The primary mitigation is to upgrade to a patched version of PandasAI as soon as it becomes available. Since no fixed version is currently specified, closely monitor Sinaptik AI's official channels for updates. As a temporary workaround, restrict file system access for the PandasAI process to only the necessary directories. Implement strict input validation and sanitization on any user-supplied data used in file path construction. Consider using a Web Application Firewall (WAF) to filter requests containing suspicious path traversal patterns.
Actualice la biblioteca PandasAI a una versión posterior a la 3.0. Dado que no hay una versión fija disponible, se recomienda monitorear el proyecto para futuras actualizaciones que aborden esta vulnerabilidad de path traversal. Alternativamente, revise y valide cuidadosamente las consultas SQL antes de pasarlas a la función is_sql_query_safe.
Schwachstellenanalysen und kritische Warnungen direkt in deinen Posteingang.
Path traversal is a vulnerability that allows an attacker to access files or directories outside the intended scope, often by manipulating user input.
If you are using PandasAI version 3.0.0 or earlier, you are vulnerable. Review system logs for suspicious activity.
Isolate the affected system from the network, back up important data, and contact a cybersecurity professional for assessment and remediation.
Until the vendor releases a fix, avoid using PandasAI or implement additional security controls, such as input validation and running in a sandbox.
The vendor's lack of response is concerning and hinders obtaining an official solution. Monitor the vendor's communications for updates.
Lade deine Abhängigkeitsdatei hoch und erfahre sofort, ob dich diese und andere CVEs treffen.
Lade deine requirements.txt-Datei hoch und wir sagen dir sofort, ob du betroffen bist.