AI Threat Alert
CVE-2026-18286
AWAITING NVDAeon 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...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| aeon | — | — | No patch |
Do you use aeon? You're affected.
How severe is it?
What should I do?
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2026-18286?
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.
Is CVE-2026-18286 actively exploited?
No confirmed active exploitation of CVE-2026-18286 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-18286?
No patch is currently available. Monitor vendor advisories for updates.
What is the CVSS score for CVE-2026-18286?
No CVSS score has been assigned yet.
What are the technical details?
Original Advisory
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.
Weaknesses (CWE)
CWE-94 — Improper Control of Generation of Code ('Code Injection'): 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.
- [Architecture and Design] Refactor your program so that you do not have to dynamically generate code.
- [Architecture and Design] Run your code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product. Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection. This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise. Be careful to avoid CWE-243 and other weaknesses related to jails.
Source: MITRE CWE corpus.
References
- github.com/aeon-toolkit/aeon/commit/751918052c0cce266b4f7cd4b084408526efc015 vendor-advisory
- zerodayinitiative.com/advisories/ZDI-26-469/ x_research-advisory