CVE-2026-30273 | Sinaptik AI pandas-ai 3.0.0 pandasai.agent.base._execute_sql_query sql injection
VulDBArchived Apr 01, 2026✓ Full text saved
A vulnerability classified as critical has been found in Sinaptik AI pandas-ai 3.0.0 . This vulnerability affects the function pandasai.agent.base._execute_sql_query . The manipulation leads to sql injection. This vulnerability is documented as CVE-2026-30273 . The attack can be initiated remotely. There is not any exploit available.
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✦ AI Summary· Claude Sonnet
VDB-354732 · CVE-2026-30273 · EUVD-2026-17959
SINAPTIK AI PANDAS-AI 3.0.0 PANDASAI.AGENT.BASE._EXECUTE_SQL_QUERY SQL INJECTION
HISTORYDIFFRELATEJSONXMLCTI
CVSS Meta Temp Score Current Exploit Price (≈) CTI Interest Score
6.1 $0-$5k 1.58+
Summaryinfo
A vulnerability classified as critical was found in Sinaptik AI pandas-ai 3.0.0. This issue affects the function pandasai.agent.base._execute_sql_query. The manipulation results in sql injection. This vulnerability is reported as CVE-2026-30273. The attack can be launched remotely. No exploit exists.
Detailsinfo
A vulnerability was found in Sinaptik AI pandas-ai 3.0.0. It has been classified as critical. Affected is the function pandasai.agent.base._execute_sql_query. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
pandas-ai v3.0.0 was discovered to contain a SQL injection vulnerability via the pandasai.agent.base._execute_sql_query component.
The advisory is shared for download at github.com. This vulnerability is traded as CVE-2026-30273 since 03/04/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 04/01/2026). The MITRE ATT&CK project declares the attack technique as T1505.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-17959).
Productinfo
Type
Artificial Intelligence Software
Vendor
Sinaptik AI
Name
pandas-ai
Version
3.0.0
CPE 2.3info
🔒
CPE 2.2info
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CVSSv4info
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv3info
VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2info
Vector Complexity Authentication Confidentiality Integrity Availability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploitinginfo
Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligenceinfo
Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍
Countermeasuresinfo
Recommended: no mitigation known
Status: 🔍
0-Day Time: 🔒
Timelineinfo
03/04/2026 CVE reserved
04/01/2026 +27 days Advisory disclosed
04/01/2026 +0 days VulDB entry created
04/01/2026 +0 days VulDB entry last update
Sourcesinfo
Advisory: github.com
Status: Not defined
CVE: CVE-2026-30273 (🔒)
GCVE (CVE): GCVE-0-2026-30273
GCVE (VulDB): GCVE-100-354732
EUVD: 🔒
Entryinfo
Created: 04/01/2026 19:17
Updated: 04/01/2026 22:15
Changes: 04/01/2026 19:17 (54), 04/01/2026 22:15 (1)
Complete: 🔍
Cache ID: 99:3E3:101
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