Skip to content
Fencer Vulns
high 7.5

CVE-2026-41712 json

ChatMemory DEFAULT_CONVERSATION_ID causes unintended cross-user data leakage

published 2026-05-12 5 mo ago modified 2026-10-26 13 d ago also GHSA-q62f-h9x2-gcqc , EUVD-2026-29448

cvss
7.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.3%
EPSS 0.3% chance of exploitation in 30 days, percentile 17%
public exploits
0
none known

Summary

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

Patch / fix

  • maven org.springframework.ai:spring-ai-client-chat 1.0.7, 1.1.6, 2.0.0-M6
  • maven org.springframework.ai:spring-ai-model 1.0.7, 1.1.6, 2.0.0-M6
  • maven org.springframework.ai:spring-ai-advisors-vector-store 1.0.7, 1.1.6, 2.0.0-M6
  • VMware Spring AI 1.0.7, 1.1.6

CISA SSVC

Exploitation
none
Automatable
yes
Technical impact
partial
Assessed
5 mo ago

Exploit prediction

0.26% chance of exploitation in the next 30 days, higher than 17% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
GitHub 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Affected packages

ecosystem package affected fixed in
maven org.springframework.ai:spring-ai-client-chat
<1.0.7
>=1.1.0-M1, <1.1.6
>=2.0.0-M1, <2.0.0-M6
1.0.7
1.1.6
2.0.0-M6
maven org.springframework.ai:spring-ai-model
<1.0.7
>=1.1.0-M1, <1.1.6
>=2.0.0-M1, <2.0.0-M6
1.0.7
1.1.6
2.0.0-M6
maven org.springframework.ai:spring-ai-advisors-vector-store
<1.0.7
>=1.1.0-M1, <1.1.6
>=2.0.0-M1, <2.0.0-M6
1.0.7
1.1.6
2.0.0-M6

Affected products

  • VMware Spring AI

Classification

Weakness
  • CWE-276 Incorrect Default Permissions

References

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.