CVE-2026-14630: AI-fundermentals Auth Bypass Vulnerability

CVE-2026-14630 Overview

CVE-2026-14630 is a weak hash vulnerability [CWE-327] affecting ForceInjection AI-fundamentals versions 2.0 and 3.0. The flaw resides in the get_conversation_history function within 08_agentic_system/memory/langchain/code/smart_customer_service.py, part of the Memory Recall Handler component. The vulnerability stems from the use of a weak hashing algorithm to identify conversation sessions, which fails to enforce ownership verification. Remote attackers with low privileges can attempt to access another user's conversation memory, though the attack requires high complexity to succeed.

Critical Impact
Authenticated attackers can potentially retrieve conversation history belonging to other users of the agentic AI system, exposing sensitive customer service memory data.

Affected Products

ForceInjection AI-fundamentals 2.0
ForceInjection AI-fundamentals 3.0
Component: Memory Recall Handler (smart_customer_service.py)

Discovery Timeline

2026-07-04 - CVE-2026-14630 published to NVD
2026-07-06 - Last updated in NVD database

Technical Details for CVE-2026-14630

Vulnerability Analysis

The vulnerability affects the memory recall subsystem of an agentic AI customer service application built on LangChain. The get_conversation_history method relies on a weak hash to identify and retrieve session state, without verifying that the requesting user owns the session. An authenticated attacker who can predict or manipulate the derived session identifier can retrieve conversation memory belonging to a different user. Because the exploit requires understanding of the hash construction and session flow, exploitation complexity is high.

Root Cause

The root cause is classified under [CWE-327] Use of a Broken or Risky Cryptographic Algorithm. The application generates session identifiers using a weak hash and treats those identifiers as sufficient for authorization. Session ownership metadata and verified user identity context are not bound to the recall operation, allowing recall calls with a valid but non-owned session ID to succeed.

Attack Vector

The attack vector is network-based and requires the attacker to hold low-privilege authenticated access to the AI application. The attacker invokes memory retrieval flows such as chat() and get_conversation_summary() with a session identifier they do not legitimately own. The upstream project acknowledged the issue and states that ownership verification is now required in methods including username and sessionowner, with sessionowner regenerated to include verified user identity and security context metadata.

python

// Security patch — enforces user ownership on session recall
                     print(f"🤖 {welcome}")
                     continue
                 elif user_input.lower() in ['summary', '摘要']:
-                    summary = bot.get_conversation_summary(session_id)
+                    summary = bot.get_conversation_summary(user_id, session_id)
                     print(f"\n{summary}")
                     continue
                 
                 # 处理正常消息
-                result = bot.chat(session_id, user_input)
+                result = bot.chat(user_id, session_id, user_input)
                 
                 if "response" in result:
                     print(f"🤖 助手: {result['response']}")

Source: GitHub Commit f57277f. The patch adds user_id as a required parameter to both chat() and get_conversation_summary(), allowing the backend to validate session ownership before returning memory contents.

Detection Methods for CVE-2026-14630

Indicators of Compromise

Log entries showing get_conversation_history or get_conversation_summary calls where the invoking user differs from the session owner.
Repeated recall requests iterating across sequential or brute-forced session identifiers.
Access to conversation memory records from IP addresses inconsistent with the associated user account history.

Detection Strategies

Instrument the memory recall functions in smart_customer_service.py to log both the authenticated principal and the requested session_id for every call.
Alert when a single authenticated account retrieves session summaries owned by multiple distinct users within a short time window.
Correlate application logs with identity provider events to flag session ID access patterns that deviate from normal user behavior.

Monitoring Recommendations

Monitor LangChain agent invocations for anomalous session ID enumeration patterns.
Track authentication context propagation into memory recall handlers and alert on missing user_id parameters.
Retain agentic AI request logs long enough to reconstruct multi-turn session access chains for forensic review.

How to Mitigate CVE-2026-14630

Immediate Actions Required

Apply commit f57277fdd9ba373ace72d83c272023ec67f720d6 from the ForceInjection AI-fundamentals repository to all affected deployments.
Audit existing conversation memory stores to confirm no unauthorized recall activity occurred prior to patching.
Rotate any session identifiers generated using the weak hash and invalidate outstanding sessions.

Patch Information

The upstream project released the fix in commit f57277fdd9ba373ace72d83c272023ec67f720d6. See the GitHub Commit Reference, GitHub Issue #17, and GitHub Pull Request #18. The patch introduces mandatory user_id propagation to session-scoped methods and rebuilds sessionowner generation to include verified user identity and security context metadata. Additional tracking is available at VulDB CVE-2026-14630.

Workarounds

Restrict access to the AI-fundamentals application to trusted internal users until the patch is deployed.
Add an application-layer gateway that enforces mapping between authenticated principals and session identifiers before requests reach the memory recall functions.
Replace the weak hash used for session identifier derivation with a cryptographically strong construction such as HMAC-SHA256 keyed with a server-side secret.

bash

# Apply the upstream patch
git fetch origin
git checkout f57277fdd9ba373ace72d83c272023ec67f720d6 -- 08_agentic_system/memory/langchain/code/smart_customer_service.py 08_agentic_system/memory/langchain/code/main.py
# Restart the agentic service after verifying user_id propagation
systemctl restart ai-fundamentals