Authenticated code execution via sparse-matrix pickle deserialization
Published Aug 19, 2026 · Updated Aug 19, 2026
Deserialization in Splunk AI Toolkit before 6.0.0 allows remote authenticated users with the power role to execute code via a model file. A model codec deserializes attacker-crafted sparse matrix data without rejecting embedded pickle content. The power role and access to model loading are required; successful exploitation runs arbitrary code on the Splunk server.
Summary
What happened
Deserialization in Splunk AI Toolkit before 6.0.0 allows remote authenticated users with the power role to execute code via a model file. A model codec deserializes attacker-crafted sparse matrix data without rejecting embedded pickle content. The power role and access to model loading are required; successful exploitation runs arbitrary code on the Splunk server.
The record
- CVE
- CVE-2026-76395
- Published
- Aug 19, 2026
- Updated
- Aug 19, 2026
- Vendor
- Splunk, Inc.
- Product
- Splunk AI Toolkit
- Classifications
- CWE-502, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 19, 2026CVE publishedPublication date reported by the CVE source.
- Aug 19, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=5.7 <6.0.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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