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HIGH severity

CVE-2026-41712 — spring-ai-client-chat

HIGHFix: spring-projects/spring-ai@59ab752

CVE-2026-41712 is a high-severity (CVSS 7.5) Incorrect Default Permissions vulnerability in org.springframework.ai:spring-ai-client-chat. A fix is available for org.springframework.ai:spring-ai-client-chat — see the affected versions and patch details below.

ChatMemory DEFAULT_CONVERSATION_ID causes unintended cross-user data leakage

Also known asGHSA-q62f-h9x2-gcqc
Published
May 12, 2026
Updated
Aug 12, 2026
Affected
9 pkgs
Patched
9 / 9
Exploits
None indexed
Exploitation data as of Sep 24, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-41712.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs33th percentile — riskier than 33% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

CVE-2026-41712 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 378,567 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

9 pkgs affected
☕org.springframework.ai:spring-ai-client-chat☕org.springframework.ai:spring-ai-client-chat☕org.springframework.ai:spring-ai-client-chat☕org.springframework.ai:spring-ai-model☕org.springframework.ai:spring-ai-model☕org.springframework.ai:spring-ai-model☕org.springframework.ai:spring-ai-advisors-vector-store☕org.springframework.ai:spring-ai-advisors-vector-store+1 more

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Maven packages — download data is not available via public APIs for these ecosystems.

Description

Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.

Affected Packages

9 total 9 fixed
EcosystemPackageVulnerable rangeFix
☕Mavenorg.springframework.ai:spring-ai-client-chatall versions1.0.7org.springframework.ai:spring-ai-client-chat:1.0.7
☕Mavenorg.springframework.ai:spring-ai-client-chat≥ 1.1.0-M1&&< 1.1.61.1.6org.springframework.ai:spring-ai-client-chat:1.1.6
☕Mavenorg.springframework.ai:spring-ai-client-chat≥ 2.0.0-M1&&< 2.0.0-M62.0.0-M6org.springframework.ai:spring-ai-client-chat:2.0.0-M6
☕Mavenorg.springframework.ai:spring-ai-modelall versions1.0.7org.springframework.ai:spring-ai-model:1.0.7
☕Mavenorg.springframework.ai:spring-ai-model≥ 1.1.0-M1&&< 1.1.61.1.6org.springframework.ai:spring-ai-model:1.1.6
☕Mavenorg.springframework.ai:spring-ai-model≥ 2.0.0-M1&&< 2.0.0-M62.0.0-M6org.springframework.ai:spring-ai-model:2.0.0-M6

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for org.springframework.ai:spring-ai-client-chat, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update org.springframework.ai:spring-ai-client-chat to 1.0.7 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-41712 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-41712 can be triaged on real exposure rather than presence alone.

Tailored to CVE-2026-41712. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.
O3 Security · Impact-Aware SCA

Is CVE-2026-41712 in your dependencies?

O3 Security finds CVE-2026-41712 across Maven dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

CVE-2026-41712: spring-ai-client (High 7.5) | O3 Security