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Splunk AI Toolkit EUVDEUVD-2026-62960

| CVE-2026-76395 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-08-19 cisco GHSA-wmwx-pqh3-xv86
8.8
CVSS 3.1 · NVD
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Severity by source

Vendor (cisco) PRIMARY
HIGH
qualitative
NVD
8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI
9.9 CRITICAL

Network-accessible via MLTK interface (AV:N), 'power' role sufficient (PR:L), and server-side RCE escapes Splunk's application boundary to the host OS (S:C).

3.1 AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Primary rating from Vendor (cisco).

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Analysis Generated
Aug 19, 2026 - 22:20 vuln.today
Patch available
Aug 19, 2026 - 22:04 EUVD
CVE Published
Aug 19, 2026 - 21:35 cve.org
HIGH 8.8

DescriptionNVD

In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit deserializes sparse matrix data without guarding against embedded pickle content. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation.

AnalysisAI

Arbitrary code execution in Splunk AI Toolkit below 6.0.0 is achievable by any user holding the Splunk 'power' role, through loading a crafted model file that embeds malicious pickle payloads inside sparse matrix data. The toolkit's model codec deserializes this data without sanitizing or restricting the embedded pickle content, granting the attacker code execution as the Splunk server process. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Obtain Splunk 'power' role credentials
Delivery
Craft model file with pickle payload embedded in sparse matrix data
Exploit
Load malicious model via MLTK interface
Execution
Trigger unsafe deserialization on server
Impact
Execute arbitrary OS-level code as Splunk process

Vulnerability AssessmentAI

Exploitation Exploitation requires an authenticated session with the Splunk 'power' role - this is not a guest or basic-user role, but is routinely granted to analysts and data engineers in enterprise deployments. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 8.8 score (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) accurately reflects a network-reachable, low-complexity attack requiring only low-privilege authenticated access. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker who has obtained Splunk 'power' role credentials - through phishing, credential stuffing, or insider access - crafts a model file in which the sparse matrix payload contains a malicious pickle object that spawns a reverse shell. The attacker loads this file via the Splunk AI Toolkit's model management interface, and upon deserialization the Splunk server executes the embedded pickle code as the Splunk process user, providing OS-level access. …
Remediation Upgrade Splunk AI Toolkit to version 6.0.0 or later, which is confirmed by vendor advisory SVD-2026-0808 (https://advisory.splunk.com/advisories/SVD-2026-0808) to resolve the unsafe deserialization. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, identify all Splunk instances running AI Toolkit or Machine Learning Toolkit versions below 6.0.0 and audit which users hold the power role. …

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EUVD-2026-62960 vulnerability details – vuln.today

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