Sinaptik AI PandasAI up to 3.0.0 sql_sanitizer.py is_sql_query_safe path traversal
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 1.13 |
Summary
A vulnerability was found in Sinaptik AI PandasAI up to 3.0.0. It has been declared as critical. This vulnerability affects the function is_sql_query_safe of the file pandasai/helpers/sql_sanitizer.py. Executing a manipulation can lead to path traversal.
The identification of this vulnerability is CVE-2026-4997. The attack may be launched remotely. Furthermore, there is an exploit available.
The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability has been found in Sinaptik AI PandasAI up to 3.0.0 and classified as critical. This vulnerability affects the function is_sql_query_safe of the file pandasai/helpers/sql_sanitizer.py. The manipulation with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. As an impact it is known to affect confidentiality.
The advisory is shared for download at gist.github.com. This vulnerability was named CVE-2026-4997. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details and also a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1006.
It is possible to download the exploit at gist.github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Once again VulDB remains the best source for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Path traversalCWE: CWE-22
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
03/27/2026 Advisory disclosed03/27/2026 VulDB entry created
03/27/2026 VulDB entry last update
Sources
Advisory: gist.github.comStatus: Not defined
CVE: CVE-2026-4997 (🔒)
GCVE (CVE): GCVE-0-2026-4997
GCVE (VulDB): GCVE-100-353884
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/27/2026 14:53Changes: 03/27/2026 14:53 (57)
Complete: 🔍
Submitter: Eric-b
Cache ID: 216:73A:103
Submit
Accepted
- Submit #778269: Sinaptik AI PandasAI <= 3.0.0 Path Traversal (CWE-22) (by Eric-b)
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