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Spring AI CVE-2026-40980

| EUVDEUVD-2026-26013 MEDIUM
Uncontrolled Resource Consumption (CWE-400)
2026-04-28 security@vmware.com
6.5
CVSS 3.1 · NVD
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Severity by source

NVD PRIMARY
6.5 MEDIUM
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Lifecycle Timeline

6
Patch released
Apr 29, 2026 - 18:15 nvd
Patch available
Patch available
Apr 28, 2026 - 10:01 EUVD
Analysis Generated
Apr 28, 2026 - 09:31 vuln.today
EUVD ID Assigned
Apr 28, 2026 - 09:22 euvd
EUVD-2026-26013
Analysis Generated
Apr 28, 2026 - 09:22 vuln.today
CVE Published
Apr 28, 2026 - 09:16 nvd
MEDIUM 6.5

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 5 maven packages depend on org.springframework.ai:spring-ai-pdf-document-reader (2 direct, 3 indirect)

Ecosystem-wide dependent count for version 1.0.0.

DescriptionCVE.org

In Spring AI, a malicious PDF file can be crafted that triggers the allocation of unreasonable amounts of memory when handled by ForkPDFLayoutTextStripper.

Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)

AnalysisAI

Spring AI versions 1.0.0-1.0.5 and 1.1.0-1.1.4 are vulnerable to denial of service through uncontrolled resource consumption when processing maliciously crafted PDF files via the ForkPDFLayoutTextStripper component. Authenticated remote attackers can exhaust server memory and crash affected applications by uploading or processing specially designed PDFs. Vendor-released patches address the issue in versions 1.0.6 and 1.1.5.

Technical ContextAI

Spring AI is a Java-based framework for building AI-powered applications. The vulnerability exists in the PDF text extraction functionality, specifically in the ForkPDFLayoutTextStripper class which handles PDF parsing and text extraction. The root cause is improper validation of PDF structures that can trigger excessive memory allocation during processing (CWE-400: Uncontrolled Resource Consumption). When a malicious PDF is submitted for processing, the stripper fails to enforce reasonable limits on memory allocation, allowing crafted payloads to exhaust available heap memory and cause denial of service.

RemediationAI

Upgrade Spring AI to version 1.0.6 (for 1.0.x users) or version 1.1.5 (for 1.1.x users) immediately per vendor advisory at https://spring.io/security/cve-2026-40980. If immediate upgrade is not feasible, implement application-level controls: restrict PDF upload/submission to authenticated users only (already required by CVSS), enforce strict file size limits on uploaded PDFs (e.g., max 10 MB), implement timeouts on PDF processing operations to prevent indefinite resource consumption, and consider disabling PDF text extraction features if not essential to business logic. Monitor application memory usage and set heap memory alarms to detect exploitation attempts. These controls mitigate but do not eliminate risk - patching is the primary remediation.

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CVE-2026-40980 vulnerability details – vuln.today

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