CVE-2026-110812
9.9 CRITICALPublished 2026-10-15 · Updated 2026-10-16
AI risk analysis
- Summary
- A critical deserialization vulnerability in Amazon Neptune's Gremlin graph import component allows authenticated attackers to execute arbitrary code and access internal credentials. This represents a severe privilege escalation risk that could lead to full system compromise.
- Exploitability
- Exploitation requires an authenticated user with standard database permissions, making it moderately difficult but achievable through legitimate database access, with no additional preconditions beyond existing database access.
- Blast radius
- If exploited, this vulnerability could allow attackers to execute arbitrary code on the Neptune service and access internal service credentials, potentially leading to lateral movement and data exfiltration across the AWS environment.
- Detection
- No reliable host or network indicator is derivable from the published description.
- Prioritized remediation
- Upgrade to Amazon Neptune engine version 1.5.0.0, with backports available to 1.4.8.1 and 1.4.7.1
Analysis generated locally by garnet-coder (no data left the box). AI-assisted — verify against primary sources before acting.
NVD description
Deserialization of untrusted data in the Gremlin graph data import component in Amazon Neptune engine might allow an authenticated remote actor with standard database permissions to execute arbitrary code and access internal service credentials. To remediate this issue, users not enrolled in auto-update should upgrade to Amazon Neptune engine version 1.5.0.0.(Backports to 1.4.8.1 and 1.4.7.1)
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Weaknesses
CWE-502, CWE-918
All references
- https://aws.amazon.com/security/security-bulletins/2026-136-aws/
- https://docs.aws.amazon.com/neptune/latest/userguide/engine-releases-1.4.7.1.html
- https://docs.aws.amazon.com/neptune/latest/userguide/engine-releases-1.4.8.1.html
- https://docs.aws.amazon.com/neptune/latest/userguide/engine-releases-1.5.0.0.html
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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