Security Resilience

CVE-2024-23752

Access Control in Gabrieleventuri Pandasai ≤ 1.5.17

Public PoCAccess Control
Published
22 January 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.010 63th percentile
Risk Priority 73 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-23752 is a critical-severity Missing Authorization (CWE-862) vulnerability in Gabrieleventuri Pandasai. Its CVSS base score is 9.8 (Critical).

Operationally, ranked in the top 37% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the LLM/Generative AI Risks risk domain.

The strongest mitigations our analysis identified map to AC-24 (Access Control Decisions) and AC-25 (Reference Monitor) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

GenerateSDFPipeline in synthetic_dataframe in PandasAI (aka pandas-ai) through 1.5.17 allows attackers to trigger the generation of arbitrary Python code that is executed by SDFCodeExecutor. An attacker can create a dataframe that provides an English language specification of this Python code.…

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NOTE: the vendor previously attempted to restrict code execution in response to a separate issue, CVE-2023-39660.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
LLM/Generative AI Risks
OWASP Top 10 for LLMs 2025
None mapped
AI-specific weaknesses CR
  • CWE-1427 — Untrusted English spec reaches LLM; generated code reaches executor sink.
Mapped by Security Resilience · not in NVD. Poisoning and extraction cases are routed to MITRE ATLAS instead of a synthetic CWE.
Classification Reason
PandasAI (pandas-ai) is a library that augments pandas data processing with generative AI capabilities, such as natural language to Python code generation for synthetic dataframes, making it a data processing library with AI integration.

Related Threats

CVEs Like This One

CVE-2024-5129Shared CWE-862
CVE-2024-7767Shared CWE-862
CVE-2024-13060Shared CWE-862
CVE-2024-1850Shared CWE-862
CVE-2024-10330Shared CWE-862
CVE-2024-10363Shared CWE-862
CVE-2025-5018Shared CWE-862
CVE-2025-48350Shared CWE-862
CVE-2024-10762Shared CWE-862
CVE-2024-5126Shared CWE-862

Affected Assets

gabrieleventuri
pandasai
≤ 1.5.17

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

AC-3 directly requires enforcement of authorization decisions on every access request, structurally eliminating missing authorization checks.

AC-24 mandates that access control decisions are applied to each request, preventing bypass of authorization logic.

AC-25 requires a tamperproof, always-invoked reference monitor that ensures authorization checks cannot be omitted.

AC-6 reduces the set of actions reachable without proper authorization, limiting blast radius of missing checks.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

blocks

Requiring formal authorization of every access request before rights are granted ensures that checks for required permissions are performed, preventing missing authorization checks from being introduced.

blocks

A.5.18's provisioning, review, revocation and activation steps (incl. owner approval, SoD, timely removal on role/termination change) directly stop exploitation of missing authorization checks by ensuring no actor receives or retains rights to resources they should not access; the bounded remainder is that it cannot stop missing-authorization defects inside the enforcement mechanism itself once rights have been granted (e.g. flawed code that ignores the rights table).

finds

By requiring competent outsiders to verify that every function enforces the need-to-know principle, the control lowers the likelihood that missing authorization checks persist undetected.

blocks

A.5.8 integrates risk assessment, requirements elicitation and governance into the project lifecycle so that authorization needs can be identified and specified; it does not itself perform or enforce authorization checks, so the missing-authorization weakness can still be present and exploitable.

blocks

Security checkpoints and explicit authorization requirements in the design phase ensure that every sensitive function is paired with an access-control check, reducing missing-authorization defects.

blocks

A.8.27 mandates security-by-design principles (least privilege, default deny, security architecture integration, zero-trust never-trust/always-verify, dynamic access control) plus design reviews that directly specify and enforce authorization checks before access; this stops most missing-authorization cases from being exploitable, with a bounded remainder in non-architectural or legacy components where the principles were documented but not fully applied.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-862, a class-level weakness, and none of its children carries one either.

References