Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
Maven
Not in CISA KEV
HIGH severity

GHSA-5852-phmh-8fhr

HIGH

GHSA-5852-phmh-8fhr is a high-severity (CVSS 8.2) CWE-1336 vulnerability in org.springframework.ai:spring-ai-client-chat. O3 Security confirms whether GHSA-5852-phmh-8fhr is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Spring AI: Prompt Injection via Memory Poisoning in PromptChatMemoryAdvisor

Also known asCVE-2026-41713
Published
May 12, 2026
Updated
May 18, 2026
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed
Exploitation data as of Aug 9, 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 GHSA-5852-phmh-8fhr.

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs12th percentile — riskier than 12% of all scored CVEsHighest risk
0.00%0.24%0.48%0.72%0.0%0.2%0.2%0.2%Jun 26Aug 26Aug 26

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

GHSA-5852-phmh-8fhr 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 356,665 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

2 pkgs affected
org.springframework.ai:spring-ai-client-chatorg.springframework.ai:spring-ai-client-chat

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

A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
Mavenorg.springframework.ai:spring-ai-client-chatall versions1.0.7
Mavenorg.springframework.ai:spring-ai-client-chat1.1.0-M1&&< 1.1.61.1.6

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. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  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 GHSA-5852-phmh-8fhr 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 pinpoints whether GHSA-5852-phmh-8fhr is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-5852-phmh-8fhr. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.
O3 Security · Impact-Aware SCA

Is GHSA-5852-phmh-8fhr in your dependencies?

O3 detects GHSA-5852-phmh-8fhr across Maven dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

GHSA-5852-phmh-8fhr: spring-ai-client-chat… | O3 Security