CVE-2026-14630 (GCVE-0-2026-14630)

Vulnerability from cvelistv5 – Published: 2026-07-04 14:00 – Updated: 2026-07-06 19:05 X_Open Source
VLAI
Title
ForceInjection AI-fundermentals Memory Recall smart_customer_service.py get_conversation_history weak hash
Summary
A vulnerability has been found in ForceInjection AI-fundermentals 2.0/3.0. Affected by this vulnerability is the function get_conversation_history of the file 08_agentic_system/memory/langchain/code/smart_customer_service.py of the component Memory Recall Handler. The manipulation leads to use of weak hash. Remote exploitation of the attack is possible. A high degree of complexity is needed for the attack. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used. The identifier of the patch is f57277fdd9ba373ace72d83c272023ec67f720d6. It is suggested to install a patch to address this issue. The project confirms (translated from Chinese): "We now require session ownership verification in methods such as `username`, `sessionowner`, etc., and we've chat()changed the generation of `sessionowner` to include verified user identity and security context metadata."
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
ForceInjection AI-fundermentals Affected: 2.0
Affected: 3.0
    cpe:2.3:a:forceinjection:ai-fundermentals:*:*:*:*:*:*:*:*
Create a notification for this product.
Credits
Dem00000 (VulDB User) VulDB CNA Team
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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