Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessCraft PDF with cyclic/deep TOC
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DeliverySubmit PDF to ingestion endpoint
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ExploitParser recurses without bound
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ExecutionJVM stack exhausted
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PersistStackOverflowError crashes ingestion thread
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ImpactDocument processing unavailable
Vulnerability Assessment
| Weakness |
CWE
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| Exploitation Conditions | The application must be using Spring AI versions 1.0.0-1.0.9, 1.1.0-1.1.8, or 2.0.0 and must have an active PDF document ingestion pathway - this vulnerability is specific to PDF processing and does not affect other document types. The CVSS vector (AV:N/AC:L/PR:N/UI:N) indicates that no authentication is required and no special network position is needed, meaning any attacker who can submit a PDF to the ingestion endpoint can trigger the flaw. What limits exploitation: the application must actually invoke Spring AI's PDF ingestion functionality; deployments that do not process PDFs, or that only ingest PDFs from fully trusted internal sources, are not exposed. The crash affects the ingestion thread specifically, so the scope of disruption depends on whether the application isolates ingestion threads from other service functions. |
| Impact | CVSS 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) accurately reflects a remotely exploitable, low-complexity denial of service. The network vector is valid because Spring AI ingestion endpoints can accept externally supplied documents in typical RAG deployments. EPSS data is not available in the provided intelligence, and the vulnerability has no KEV listing and no known public exploit code, making active exploitation speculative at this time. Real-world priority depends heavily on deployment architecture: applications that accept PDF uploads from untrusted users are meaningfully at risk of availability disruption, while internal-only document pipelines where PDF sources are controlled face substantially lower exposure. The impact is bounded to availability - confidentiality and integrity are unaffected. The primary concern is whether a crash of the ingestion thread is recoverable without service restart, which determines whether a single crafted PDF constitutes a persistent or transient denial of service. |
| Exploit ScenarioDerived | An attacker targeting a Spring AI-based RAG application that exposes a document upload endpoint crafts a PDF file containing a table of contents with thousands of nested levels or a cyclic reference loop. Submitting this file to the ingestion API causes the PDF parser to recurse without bound, overflowing the JVM thread stack and crashing the ingestion thread. Repeated submissions can sustain the denial of service condition, preventing legitimate document processing. |
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Alert meAnalysisAIv1 – Aug 27, 2026
Denial of service in Spring AI's PDF document ingestion crashes the processing thread when parsing a crafted PDF with a deeply nested or cyclic table of contents structure. Affected versions span the 1.0.x and 1.1.x release lines as well as the 2.0.0 release. An unauthenticated remote attacker who can supply a malicious PDF to an application's ingestion pipeline can trigger a StackOverflowError, halting document processing availability with no confidentiality or integrity impact. No public exploit code or CISA KEV listing has been identified at time of analysis.
RemediationAI
Consult the vendor advisory at https://spring.io/security/cve-2026-47851 for the specific patched version; the advisory has been published by VMware/Spring but exact fix version numbers are not independently confirmed in the available intelligence data - do not upgrade to an unconfirmed version. As a compensating control while patch testing proceeds, restrict PDF ingestion to trusted internal sources only, rejecting or sandboxing PDFs from external or untrusted origins. Additionally, consider wrapping the PDF ingestion call in a separate worker thread with a bounded stack size and exception handler so a StackOverflowError terminates only the worker rather than the ingestion service process. This adds implementation complexity but prevents full service disruption. Input validation at the document intake layer (e.g., rejecting PDFs whose TOC depth exceeds a configurable threshold) is another targeted mitigation if the parsing library exposes such controls.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
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Technical ContextAI · show details
Spring AI is a Java framework from VMware/Spring that provides abstractions for building AI-powered applications, including document ingestion pipelines for RAG (Retrieval-Augmented Generation) workflows. The affected code path involves PDF parsing, specifically processing the document's table of contents (TOC) structure. A cyclic or excessively deep TOC triggers unbounded recursion in the parser, exhausting the JVM thread stack and raising a StackOverflowError. This is characteristic of CWE-674 (Uncontrolled Recursion), though NVD has not assigned a formal CWE. The affected CPE is cpe:2.3:a:spring:spring_ai, covering all minor versions in the 1.0.x, 1.1.x, and 2.0.0 lines. The ingestion thread crash implies the StackOverflowError is not caught and handled gracefully, causing a thread-level availability failure rather than a simple processing error.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Network-reachable PDF ingestion endpoint requires no authentication; sole impact is availability via thread crash, with no confidentiality or integrity effect.
Primary rating from Vendor (vmware).
CVSS VectorVendor: vmware
DescriptionCVE.org
Analyzing a PDF with a deeply nested or cyclic table of contents can cause a StackOverflowError in the ingestion thread. Spring AI 2.0.0 Spring AI 1.1.0 - 1.1.8 Spring AI 1.0.0 - 1.0.9
Articles & Coverage 1
Executive ViewAI
Spring AI versions 1.0.x, 1.1.x, and 2.0.0 contain a denial-of-service vulnerability in PDF document ingestion that can crash processing threads when handling malicious PDFs, directly impacting any application that relies on this library for document processing. An unauthenticated attacker with the ability to supply PDFs to the ingestion pipeline can halt document availability, disrupting workflow and potentially affecting time-sensitive business processes dependent on document processing.
No vendor-released patch identified at time of analysis. Interim mitigations include: (1) enforcing request timeouts on PDF processing operations to prevent thread starvation, (2) implementing PDF input validation to reject files with excessive table of contents nesting depth, (3) restricting PDF uploads to authenticated users and trusted sources only, (4) deploying application monitoring to detect and alert on StackOverflowError exceptions, and (5) implementing resource limits and circuit breakers to gracefully degrade service rather than crash.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
A buffer overflow occurs when a program writes more data to a memory buffer than it was allocated to hold, causing the excess data to spill into adjacent memory regions.
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EUVD-2026-66821
GHSA-3934-8pqh-qq29
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB