CVE-2026-18287
Received Received - Intake

Aeon load_time_series_segmentation_benchmark Code Injection RCE

Publication date: 2026-08-20

Last updated on: 2026-08-20

Assigner: Zero Day Initiative

Description
Aeon load_time_series_segmentation_benchmark 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_time_series_segmentation_benchmark 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-29159.

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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-2026-18287
EUVD
EUVD-2026-63435

Affected Vendors & Products

Showing 3 associated CPEs
Vendor Product Version / Range
aeon load_time_series_segmentation_benchmark *
aeon load_time_series_segmentation_benchmark From 2026-02-19 (inc) to 2026-07-29 (inc)
aeon aeon From 2026-02-19 (inc) 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. The flaw exists in the load_time_series_segmentation_benchmark method due to improper validation of a user-supplied string before executing 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 software. Inspect installed packages using commands like 'pip show aeon' or 'conda list aeon' to verify version numbers. Monitor network traffic for suspicious activity involving the load_time_series_segmentation_benchmark method.

Impact Analysis

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

Compliance Impact

This vulnerability could lead to unauthorized data access or modification, violating GDPR and HIPAA requirements for data protection and integrity. Organizations may face compliance penalties if exploited.

Mitigation Strategies

Immediately update aeon to the latest patched version as recommended by the vendor. Avoid opening untrusted files or visiting suspicious websites. Implement network monitoring to detect exploitation attempts targeting this method.

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