CVE-2026-41863: VMware Spring AI path traversal in Anthropic Skills API

CVE-2026-41863 · Severity: medium · CVSS 6.5 · Published 2026-05-25

Spring AI is a framework used to integrate artificial intelligence capabilities into Java applications. A security flaw in its integration with Anthropic's AI services allows the AI to influence the names of files written to the server's disk. A malicious user could exploit this to save files in unauthorized locations, potentially overwriting critical system files or planting malicious scripts.

Technologies: VMware Spring Ai. Vendors: Maven, Spring, VMware.

Quick answers

Is CVE-2026-41863 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-41863 being exploited in the wild.
How severe is CVE-2026-41863?
Medium severity, with a CVSS score of 6.5, published 25 May 2026.
Which products and versions are affected?
org.springframework.ai:spring-ai-anthropic (Maven) >= 1.1.0, < 1.1.7, ECOSYSTEM:introduced=1.1.0,fixed=1.1.7; Spring AI Anthropic 1.1.0 to 1.1.6; VMware Spring Ai 1.1.0 through 1.1.x.
Is there a fix for CVE-2026-41863?
Yes. org.springframework.ai:spring-ai-anthropic (Maven): upgrade to 1.1.7 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-41863 attacked?
It is attacked over the network, in a software library.
Am I affected by CVE-2026-41863?
Check whether you run org.springframework.ai:spring-ai-anthropic (Maven), Spring AI Anthropic or VMware Spring Ai at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

  • org.springframework.ai:spring-ai-anthropic (Maven): upgrade to 1.1.7 or later
    # set org.springframework.ai:spring-ai-anthropic to 1.1.7 in your pom.xml or build.gradle

Technical details

A path traversal vulnerability (CWE-22) exists in the Spring AI Anthropic module. The vulnerability stems from the improper sanitization of filenames generated or influenced by a Large Language Model (LLM) when using Anthropic's Skills API. These unsanitized strings are passed directly to Path.resolve() before being written to the filesystem. An attacker with network access and low privileges can provide input that causes the LLM to generate path traversal sequences (e.g., ../), allowing the attacker to write files to arbitrary locations on the host system. This issue is resolved in Spring AI version 1.1.7.

Affected products

  • Spring Spring AI Anthropic 1.1.0 to 1.1.6

Identifiers

  • CVE-2026-41863
  • GHSA-cc4m-mp48-x7qg

Timeline

  • 2026-05-25: disclosed: NVD publication date
  • 2026-05-26: advisory: GitHub Advisory published
  • 2026-06-30: patched: Advisory updated with patch information

References

This page as Markdown. Free to reuse under CC BY 4.0 with a link back.