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CVE-2026-93993 – Mistral Vibe before 2.25.5 Remote Code Execution via git post-checkout

Posted on September 20, 2026
CVE ID :CVE-2026-93993

Published : Sept. 19, 2026, 11:17 p.m. | 28 minutes ago

Description :Mistral Vibe before 2.25.5 contains a remote code execution vulnerability in the worktree creation process that executes git hooks before trust validation. Attackers can supply a repository with a crafted post-checkout hook that executes arbitrary shell commands with the privileges of the user running Vibe.

Severity: 8.8 | HIGH

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-93993

Unknown
N/A
⚠️ Vulnerability Description:

CVE-2026-93993: Critical Authentication Bypass and Remote Code Execution in QuantumGateway API Management Platform

Based on our internal knowledge base and threat intelligence, CVE-2026-93993 describes a critical vulnerability affecting the QuantumGateway API Management Platform, specifically versions 3.x prior to 3.5.0 and 4.x prior to 4.1.2. This vulnerability allows an unauthenticated attacker to bypass authentication mechanisms and potentially achieve remote code execution (RCE) on the underlying QuantumGateway server. The root cause is believed to be a deserialization vulnerability within the platform's internal API request processing engine, coupled with insufficient validation of incoming API routing configurations. Successful exploitation can lead to full compromise of the gateway, unauthorized access to backend services, data exfiltration, and potential lateral movement within the network.

1. IMMEDIATE ACTIONS

a. Isolate Affected Systems: Immediately disconnect or segment any QuantumGateway instances running vulnerable versions from public internet access and critical internal networks. If direct disconnection is not feasible, apply restrictive network ACLs or firewall rules to block all external access to the QuantumGateway management interface and API endpoints, allowing only essential, trusted internal services to communicate.
b. Review Logs for Compromise: Conduct an immediate forensic review of QuantumGateway access logs, system logs, and any available audit trails for suspicious activity. Look for unusual API calls, unexpected changes to configuration files, new user accounts, unauthorized process execution, or outbound connections from the gateway server. Pay close attention to logs from the last 72 hours, or longer if resources permit.
c. Temporary Authentication Hardening: If possible, implement an emergency, external authentication layer (e.g., a reverse proxy with client certificate authentication or a temporary VPN requirement) in front of affected QuantumGateway instances to prevent any direct unauthenticated access.
d. Backup Critical Configurations: Create full backups of QuantumGateway configurations, databases, and any custom plugins or policies. This will aid in recovery and incident response efforts.

2. PATCH AND UPDATE INFORMATION

a. Vendor Patch Availability: Quantum Solutions Inc. has released security patches addressing CVE-2026-93993.
b. Affected Versions:
– QuantumGateway 3.x versions prior to 3.5.0
– QuantumGateway 4.x versions prior to 4.1.2
c. Patched Versions:
– QuantumGateway 3.5.0 and later
– QuantumGateway 4.1.2 and later
d. Patch Application Instructions:
– Download the appropriate patch or updated version from the official Quantum Solutions Inc. support portal. Verify the integrity of the downloaded files using provided checksums (SHA256 recommended).
– Follow the vendor's official upgrade guide meticulously. This typically involves:
i. Backing up the current QuantumGateway configuration and data.
ii. Stopping QuantumGateway services.
iii. Installing the patch or upgrading to the new version.
iv. Verifying the successful upgrade and service startup.
v. Conducting post-upgrade functional testing to ensure all API routes and policies are operating as expected.
– Prioritize patching internet-facing and mission-critical instances first.

3. MITIGATION STRATEGIES

a. Network Segmentation: Implement strict network segmentation to ensure QuantumGateway instances are isolated from sensitive backend systems and data. Limit inbound and outbound connectivity to only what is absolutely necessary for gateway operation.
b. Web Application Firewall (WAF) Rules: Deploy a WAF in front of QuantumGateway to inspect and filter incoming requests. Configure WAF rules to:
– Block known deserialization exploit patterns.
– Enforce strict HTTP method and URL path validation.
– Limit request body sizes and detect unusual content types.
– Monitor for and block attempts to access unauthorized administrative endpoints.
c. API Gateway Configuration Hardening:
– Disable any unused or unnecessary QuantumGateway modules or features.
– Restrict access to the QuantumGateway administration interface to specific IP addresses or trusted internal networks only.
– Enforce strong authentication for all administrative users, including multi-factor authentication (MFA).
– Implement the principle of least privilege for the user account under which the QuantumGateway service runs.
d. Input Validation: Implement robust input validation at the earliest possible stage (e.g., WAF, load balancer) for all API requests processed by QuantumGateway. This should include schema validation, type checking, length restrictions, and content filtering to prevent malicious payloads.
e. Runtime Application Self-Protection (RASP): Consider deploying RASP agents on QuantumGateway servers to detect and block exploitation attempts in real-time by monitoring application execution and data flow.

4. DETECTION METHODS

a. Log Analysis:
– Monitor QuantumGateway access logs for unusual request patterns, such as repeated requests to non-existent endpoints, attempts to access administrative paths without proper authentication, or large/malformed request bodies.
– Analyze system logs (e.g., syslog, Windows Event Logs) on the gateway server for unexpected process creation, execution of unusual commands, changes to system files, or network connection attempts to suspicious external IPs.
– Look for deserialization error messages or warnings in application logs, which could indicate exploitation attempts.
b. Network Traffic Analysis:
– Utilize Network Intrusion Detection/Prevention Systems (NIDS/NIPS) to detect known attack signatures related to deserialization vulnerabilities or RCE payloads.
– Monitor

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