PatchSiren cyber security CVE debrief
CVE-2026-54519 vmDeshpande CVE debrief
CVE-2026-54519 is a high-severity vulnerability in AI Agent Automation, a modular AI agent workflow automation platform. An authenticated attacker can exploit this vulnerability to read, delete, or clear sensitive data belonging to another user, breaking tenant isolation and causing unauthorized disclosure and data loss. The issue is fixed in version 0.9.1.
- Vendor
- vmDeshpande
- Product
- ai-agent-automation
- CVSS
- HIGH 8.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-09-17
- Original CVE updated
- 2026-09-22
- Advisory published
- 2026-09-17
- Advisory updated
- 2026-09-22
Who should care
Defenders responsible for AI Agent Automation platforms, security teams, and administrators should assess exposure and apply the fix to prevent unauthorized disclosure and data loss.
Why it matters
CVE-2026-54519 is a high-severity vulnerability in AI Agent Automation that allows an authenticated attacker to access sensitive data without authorization, breaking tenant isolation and causing unauthorized disclosure and data loss. Defenders should prioritize verifying exposure and applying the fix.
- An authenticated attacker can read sensitive data, including conversation history, agent context, task data, embeddings, and metadata, belonging to another user.
- An authenticated attacker can delete an individual victim memory or clear all memory belonging to a victim agent.
- Tenant isolation is broken, allowing unauthorized access to sensitive data.
- Defenders should verify exposure and apply the fix to prevent unauthorized disclosure and data loss.
Technical summary
The vulnerability is caused by a lack of verification in the listMemories, deleteMemory, and clearAgentMemory functions, allowing an authenticated attacker to access sensitive data belonging to another user. The issue is fixed in version 0.9.1. This high-severity vulnerability in AI Agent Automation enables an authenticated attacker to read, delete, or clear sensitive data belonging to another user, breaking tenant isolation and causing unauthorized disclosure and data loss. Defenders should prioritize verifying exposure and applying the fix.
Defensive priority
Defenders should prioritize verifying exposure and applying the fix, as the vulnerability allows an authenticated attacker to access sensitive data without authorization.
Recommended defensive actions
- Verify exposure by checking if the AI Agent Automation platform is running a version prior to 0.9.1
- Apply the fix by upgrading to version 0.9.1 or later
- Monitor for suspicious activity, such as unauthorized access to sensitive data
- Review and update access controls to prevent similar vulnerabilities
- Review compensating controls for exposed systems while remediation is scheduled and verified.
- Check relevant monitoring, detection, and logs for exposed assets that need extra review.
- Track exceptions, retest remediated assets, and close the item only after evidence is documented.
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. However, the corpus does not establish versions, exploitation, impact, or remediation beyond the provided information, requiring verification from official sources.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-54519 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-54519
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-54519 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-54519
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/vmDeshpande/ai-agent-automation/commit/96b31c216f6f670e64584f3623c07ac54461e703
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Source reference
Unverified legacy reference
URL: https://github.com/vmDeshpande/ai-agent-automation/releases/tag/v0.9.1
-
Source reference
Unverified legacy reference
URL: https://github.com/vmDeshpande/ai-agent-automation/security/advisories/GHSA-qv97-83w4-ff86
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.