Spring AiFramework / library · VMware

CVE-2026-41863

MEDIUM · 6.5 CVSS v3.1 Published 2026-05-25
Fix available
A fix is available. Upgrade to 1.1.7 or later.
See remediation →
71/100
Remediation priority · Elevated
Remotely reachable Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
Spring AI's support for Anthropic's Skills API used LLM-influenced filenames unsanitized in Path.resolve before writing files to disk. This could allow a malicious user to write files outside the intended target directory, including restricted directories. Affected versions: Spring AI: 1.1.0 through 1.1.x

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

Spring AI's Anthropic Skills API integration uses filenames influenced by LLM output directly in Path.resolve() without sanitization, allowing path traversal attacks where malicious filenames like '../../../etc/passwd' can write files outside the intended directory.

MitigationImplement strict filename validation and path traversal checks - validate that resolved paths remain within the intended target directory using canonical path comparisons before file operations.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
Spring AiFramework / library
Affected:>= 1.1.0, < 1.1.7

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
High
Availability
None

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify Spring AI version in your deployment
    Check your project's dependency file (pom.xml or build.gradle) for the spring-ai-core or spring-ai-anthropic version, or inspect the deployed JAR/WAR file's manifest. In Maven, run: mvn dependency:tree | grep spring-ai
    Affected if The installed Spring AI version is >= 1.1.0 and < 1.1.7
  2. Confirm Anthropic Skills API integration is in use
    Search your codebase for imports of classes from org.springframework.ai.anthropic or usage of AnthropicChatModel, AnthropicSkill, or similar Anthropic-related beans in your Java configuration or Spring context files
    Affected if Your application uses the Anthropic integration for Skills functionality
  3. Locate file write operations using LLM-provided filenames
    Search your codebase for Path.resolve() calls or File/Path operations where the filename argument originates from LLM output, anthropic responses, or skill execution results
    Affected if Your code passes LLM-generated filenames directly to Path.resolve or similar file operations without sanitization
  4. Inspect input validation on filename parameters
    Review any validation logic that processes filenames before file operations. Check for rejection of '..' sequences, absolute paths (starting with / or \), or other path traversal patterns
    Affected if No validation exists, or validation can be bypassed by the LLM-generated input

You are affected if Spring AI version is between 1.1.0 and 1.1.7 inclusive, and your application uses Anthropic Skills that pass LLM-generated filenames to file operations without sanitizing path traversal sequences.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to 1.1.7 or later
Fixed in 1.1.7
Interim mitigation

Implement strict filename validation and path traversal checks - validate that resolved paths remain within the intended target directory using canonical path comparisons before file operations.

Recommended fix High confidence

Spring AI 1.1.7

  1. Update the Spring AI dependency version in your project's build configuration (pom.xml for Maven or build.gradle for Gradle) from the current 1.1.x version to 1.1.7

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Spring Ai Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing4.0 h
  • Review / QA2.0 h
15.0 hours of engineering $2,640
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $4,224.

Scan for this in your stack

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dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-41863 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
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