Cyber Resilience

CVE-2024-0521

HighPublic PoC

Published: 20 January 2024

Published
20 January 2024
Modified
21 November 2024
KEV Added
—
Patch
—
CVSS Score v3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0010 26.6th percentile
Risk Priority 16 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-0521 is a high-severity Code Injection (CWE-94) vulnerability in Paddlepaddle Paddle. Its CVSS base score is 7.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Client Execution (T1203); ranked at the 26.6th 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 Deep Learning Frameworks; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: LLM Prompt Injection (AML.T0051), Exfiltration via AI Inference API (AML.T0024), AI Supply Chain Compromise (AML.T0010).

EU & UK References

Vulnerability details

Code Injection in paddlepaddle/paddle

CWE(s)
CWE-94

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
PaddlePaddle is a deep learning framework from Baidu, and the CVE describes a code injection vulnerability in paddlepaddle/paddle, confirmed AI-related via huntr.com AI/ML bug bounty platform.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
attack.mitre.org →
T1059.006 Python Execution
Adversaries may abuse Python commands and scripts for execution.
attack.mitre.org →
Why these techniques?

Code injection vulnerability in PaddlePaddle (Python-based ML framework) enables arbitrary code execution via client software exploitation and Python interpreter abuse.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0051: LLM Prompt InjectionAML.T0024: Exfiltration via AI Inference APIAML.T0010: AI Supply Chain CompromiseAML.T0048: External Harms

Affected Assets

paddlepaddle
paddle
all versions

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