Vendor
Sinaptik AI
4 known vulnerabilities.
Sinaptik AI at a glance
- Last 12 months
- 3
- Critical · all time
- 1
- Exploited · all time
- 0
- Public exploit · all time
- 0
Show as table
| Month | Vulnerabilities | Critical |
|---|---|---|
| Nov 2026 | 0 | 0 |
| Oct 2026 | 0 | 0 |
| Sep 2026 | 0 | 0 |
| Aug 2026 | 0 | 0 |
| Jul 2026 | 0 | 0 |
| Jun 2026 | 0 | 0 |
| May 2026 | 0 | 0 |
| Apr 2026 | 0 | 0 |
| Mar 2026 | 3 | 0 |
| Feb 2026 | 0 | 0 |
| Jan 2026 | 0 | 0 |
| Dec 2025 | 0 | 0 |
| Nov 2025 | 0 | 0 |
| Oct 2025 | 0 | 0 |
| Sep 2025 | 0 | 0 |
| Aug 2025 | 0 | 0 |
| Jul 2025 | 0 | 0 |
| Jun 2025 | 0 | 0 |
| May 2025 | 0 | 0 |
| Apr 2025 | 0 | 0 |
| Mar 2025 | 0 | 0 |
| Feb 2025 | 1 | 1 |
| Jan 2025 | 0 | 0 |
| Dec 2024 | 0 | 0 |
Products
4 results · Feed
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High 7.3
Sinaptik AI PandasAI Chat Message code_executor.py CodeExecutor.execute code injection
A weakness has been identified in Sinaptik AI PandasAI up to 3.0.0. This vulnerability affects the function CodeExecutor.execute of the file pandasai/core/code_execution/code_executor.py of the component Chat Message Handler. Executing a manipulation can lead…
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Medium 5.3
Sinaptik AI PandasAI sql_sanitizer.py is_sql_query_safe path traversal
A security flaw has been discovered in Sinaptik AI PandasAI up to 3.0.0. This affects the function is_sql_query_safe of the file pandasai/helpers/sql_sanitizer.py. Performing a manipulation results in path traversal. The attack may be initiated remotely. The …
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High 7.3
Sinaptik AI PandasAI pandasai-lancedb Extension lancedb.py get_relevant_docs_by_id sql injection
A vulnerability was identified in Sinaptik AI PandasAI up to 0.1.4. Affected by this issue is the function delete_question_and_answers/delete_docs/update_question_answer/update_docs/get_relevant_question_answers_by_id/get_relevant_docs_by_id of the file exten…
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Critical 9.8
CVE-2024-12366
PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that can lead to Remote Code Execution (RCE) instead of the intended explanation of the natural language processing by the LLM.