Severity by source
AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
AV:L reflects file-based local trigger; PR:N as attacker needs no system account; UI:R since victim must actively open the malicious dataset; full CIA impact from unrestricted eval execution.
Primary rating from Vendor (zdi).
CVSS VectorVendor: zdi
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Lifecycle Timeline
3DescriptionCVE.org
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.
Articles & Coverage 1
AnalysisAI
Remote code execution in aeon 1.3.0 is possible when a user loads a maliciously crafted CSV dataset via the load_human_activity_segmentation_datasets or load_time_series_segmentation_benchmark functions, which pass unvalidated column values directly to Python's eval(). An attacker who can deliver a malicious file or dataset URL to a target data scientist can execute arbitrary Python code in the victim's process with their full privileges. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires the victim to invoke `load_human_activity_segmentation_datasets` or `load_time_series_segmentation_benchmark` against a malicious CSV file - either by opening the file directly or by visiting a web page that triggers the dataset load via the aeon API. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 3.0 score of 7.8 (AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H) accurately reflects a local, file-triggered attack requiring user interaction, which materially limits opportunistic mass exploitation compared to network-vectored vulnerabilities. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | Full exploit scenario with step-by-step reproduction available after sign-in. |
| Remediation | The upstream fix is available as commit 751918052c0cce266b4f7cd4b084408526efc015 in the aeon-toolkit/aeon repository (https://github.com/aeon-toolkit/aeon/commit/751918052c0cce266b4f7cd4b084408526efc015); a specific tagged release version containing this fix has not been independently confirmed from the available data, so users should monitor the aeon PyPI page and upgrade as soon as a post-1.3.0 release is published. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours, inventory all systems running aeon 1.3.0, communicate the vulnerability to data science teams, and restrict CSV loading to internally-controlled and pre-validated datasets only; block external dataset URLs if possible at the network level. …
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Same weakness CWE-94 – Code Injection
View allSame technique Code Injection
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-63434
GHSA-mp6w-jh5v-fhmr