Signal is active with 1 mentions in latest observed window
Recommended action window: Monitor and triage in normal cycle
NVD 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.
Priority
LOW
Exploitation
NONE
PoC
NONE
Patch
NONE
Momentum
STABLE
If you run products in this scope, you should treat this CVE as relevant to your environment.
⚠️ Vulnerabilidades en productos Spring ❗ CVE-2026-41713 ❗ CVE-2026-41712 ❗ CVE-2026-41705 ➡️ Más info: https://www.cert.gov.py/vulnerabilidades-en-productos-spring-8/ https://t.co/oh7e2aKL4M
Post summary
The post lists three Spring product CVEs and links to an external site for more information, but provides no technical details, exploits, patches, or evidence of active exploitation.
CVE-2026-41713 Prompt Injection via Malicious Input in Conversation Memory Systems https://vulmon.com/vulnerabilitydetails?qid=CVE-2026-41713
Post summary
The entry briefly identifies CVE‑2026‑41713 as a prompt injection vulnerability in conversation memory systems, but it provides no evidence of PoC, exploit, patch, detailed technical details, or active exploitation.
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| Part | Vendor | Product | Version | Target SW | Target HW |
|---|---|---|---|---|---|
| App | vmware | spring_ai | - | - | - |