CVE-2026-18286
Received Received - Intake

Code Injection in Aeon load_human_activity_segmentation_datasets

Publication date: 2026-08-20

Last updated on: 2026-08-20

Assigner: Zero Day Initiative

Description
Aeon load_human_activity_segmentation_datasets Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of aeon. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the load_human_activity_segmentation_datasets method. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-29160.

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Meta Information

Published
2026-08-20
Last Modified
2026-08-20
Generated
2026-08-20
AI Q&A
2026-08-20
EPSS Evaluated
N/A
NVD
CVE-2026-18286
EUVD
EUVD-2026-63434

Affected Vendors & Products

Showing 2 associated CPEs
Vendor Product Version / Range
aeon load_human_activity_segmentation_datasets *
aeon aeon to 2026-07-29 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-94 The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

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Executive Summary

This is a code injection vulnerability in the aeon software that allows remote attackers to execute arbitrary code on affected systems. The flaw exists in the load_human_activity_segmentation_datasets method due to insufficient validation of user-supplied input, which is used to execute Python code. Exploitation requires user interaction, such as visiting a malicious page or opening a malicious file.

Detection Guidance

Detecting this vulnerability requires checking for vulnerable versions of aeon and inspecting code for unsafe eval() usage. Review Python environments for aeon installations and search for load_human_activity_segmentation_datasets method calls. Check for recent updates applied to aeon toolkit.

Impact Analysis

An attacker could exploit this vulnerability to execute code in the context of the current process, potentially leading to unauthorized access, data theft, or system compromise. The high CVSS score of 7.8 indicates significant risk to confidentiality, integrity, and availability of the affected system.

Compliance Impact

This vulnerability could lead to unauthorized data access or modification, violating GDPR's data protection principles or HIPAA's security requirements for protected health information. Organizations affected by this flaw may face compliance violations, legal penalties, or reputational damage.

Mitigation Strategies

Immediately update aeon to the latest patched version. Replace any eval() calls in dataset loading code with safer alternatives like ast.literal_eval(). Remove allow_pickle=True parameter from np.load() calls. Avoid opening untrusted files or visiting suspicious pages.

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