Cyber Resilience

CVE-2025-46724

CriticalPublic PoCRCE

Published: 20 May 2025

Published
20 May 2025
Modified
17 June 2025
KEV Added
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Patch
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CVSS Score v3.1 9.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0021 43.0th percentile
Risk Priority 20 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-46724 is a critical-severity Code Injection (CWE-94) vulnerability in Langroid Langroid. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 43.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as AI Agent Protocols and Integrations; in the LLM/Generative AI Risks risk domain; MITRE ATLAS techniques in scope: Command and Scripting Interpreter (AML.T0050), LLM Prompt Injection (AML.T0051).

EU & UK References

Vulnerability details

Langroid is a Python framework to build large language model (LLM)-powered applications. Prior to version 0.53.15, `TableChatAgent` uses `pandas eval()`. If fed by untrusted user input, like the case of a public-facing LLM application, it may be vulnerable to code…

more

injection. Langroid 0.53.15 sanitizes input to `TableChatAgent` by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.

CWE(s)
CWE-94

AI Security AnalysisAI

AI Category
AI Agent Protocols and Integrations
Risk Domain
LLM/Generative AI Risks
OWASP Top 10 for LLMs 2025
LLM01:2025 Prompt Injection
Classification Reason
Matched keywords: large language model, llm, pandas

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
T1059.006 Python Execution
Adversaries may abuse Python commands and scripts for execution.
attack.mitre.org →
Why these techniques?

CVE-2025-46724 enables remote code execution via pandas eval() on untrusted input in public-facing LLM applications, mapping to exploitation of public-facing applications (T1190) and Python interpreter abuse (T1059.006).

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0050: Command and Scripting InterpreterAML.T0051: LLM Prompt Injection

Affected Assets

langroid
langroid
≤ 0.53.15

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

SC-34 Non-modifiable Executable Programs
addresses: CWE-94

Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.

SC-44 Detonation Chambers
addresses: CWE-94

Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.

SI-10 Information Input Validation
addresses: CWE-94

Validates inputs used in dynamic code generation to block injected directives.

SI-16 Memory Protection
addresses: CWE-94

Directly prevents execution of attacker-supplied code written into data memory regions.

References