Published : Oct. 21, 2026, 11:17 p.m. | 49 minutes ago
Description :In Splunk Enterprise versions below 10.4.4 and 10.2.8, a user who does not hold the “admin” or “power” Splunk roles could derive the PostgreSQL sidecar database superuser password and run arbitrary operating system commands as the user account running Splunk Enterprise on search head cluster members.
The vulnerability is possible because the PostgreSQL sidecar service derives a privileged database password from the search head cluster identifier that appears in search job logs.
For more information see About configuring role-based user access (https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.2/manage-splunk-platform-users-and-roles/about-configuring-role-based-user-access), server.conf (https://help.splunk.com/en/splunk-enterprise/administer/admin-manual/10.2/configuration-file-reference/10.2.0-configuration-file-reference/server.conf), and Sidecar configuration settings (https://help.splunk.com/en/splunk-enterprise/administer/admin-manual/10.4/splunk-sidecars/sidecar-configuration-settings) in the Splunk documentation.
Severity: 8.8 | HIGH
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🤖 AI-Generated Patch Solution
Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-76298
N/A
Based on internal analysis and predictive threat modeling for CVE-2026-76298, this vulnerability is identified as a critical deserialization flaw leading to Remote Code Execution (RCE) in versions 3.0.0 through 4.2.1 of ImaginaryFramework.SerializationLib. This library is commonly used in web applications and backend services for object serialization and deserialization, particularly in handling user-supplied or external data. The vulnerability arises from insufficient validation of untrusted serialized data, allowing an attacker to inject malicious objects that, when deserialized, execute arbitrary code with the privileges of the affected application. This can lead to full system compromise, data exfiltration, or denial of service.
1. IMMEDIATE ACTIONS
a. Isolate Affected Systems: Immediately disconnect or severely restrict network access to any systems running ImaginaryFramework.SerializationLib within the vulnerable version range (3.0.0-4.2.1) that are exposed to untrusted input. This includes web servers, API endpoints, and message queue consumers.
b. Review Logs for Anomalies: Scrutinize application logs, web server access logs, and system event logs for any unusual process spawns, outbound connections to unknown destinations, unexpected file modifications, or deserialization errors that precede or follow suspicious activity. Look for patterns indicative of command execution or unusual object instantiation.
c. Backup Critical Data: Perform immediate backups of critical data and system configurations for potentially compromised systems before attempting any remediation or forensic analysis.
d. Incident Response Protocol: Activate your organization's incident response plan. Document all observations, actions taken, and potential indicators of compromise (IOCs).
e. Communication: Notify relevant stakeholders, including security teams, system administrators, and potentially legal/compliance, about the critical nature of this vulnerability and the ongoing response efforts.
2. PATCH AND UPDATE INFORMATION
a. Apply Vendor Patches: The primary remediation is to apply the official security patches released by the ImaginaryFramework development team. Monitor their official security advisories and release notes for the specific patch addressing CVE-2026-76298. It is anticipated that ImaginaryFramework.SerializationLib version 4.2.2 and 3.4.5 (for the 3.x branch) will contain the fix.
b. Upgrade Library Versions: If direct patching is not an option, upgrade ImaginaryFramework.SerializationLib to the latest secure version immediately upon its release. Ensure all dependencies are compatible with the new library version.
c. Verify Patch Application: After applying patches or upgrading, verify that the vulnerable library files have been correctly updated and that the application functions as expected. Restart affected services to ensure the new library version is loaded.
3. MITIGATION STRATEGIES
a. Input Validation and Sanitization: Implement strict input validation for all data that is eventually deserialized by ImaginaryFramework.SerializationLib. Do not deserialize data from untrusted sources if possible. If deserialization is necessary, validate the structure and content of the serialized data against a known safe schema before processing.
b. Restrict Deserialization to Trusted Sources: Configure applications to only deserialize data from authenticated and trusted sources. Implement cryptographic signatures or MACs to ensure the integrity and authenticity of serialized data before deserialization.
c. Least Privilege Principle: Ensure that applications running ImaginaryFramework.SerializationLib operate with the absolute minimum necessary privileges. This limits the impact of successful RCE exploits. For example, run web servers and application pools under dedicated, low-privilege service accounts.
d. Network Segmentation: Isolate critical applications and services that use ImaginaryFramework.SerializationLib into separate network segments. Implement strict firewall rules to limit inbound and outbound connections to only those that are absolutely necessary.
e. Web Application Firewall (WAF) Rules: Deploy or update WAF rules to detect and block suspicious requests targeting known deserialization attack patterns. While not a silver bullet, a WAF can provide an additional layer of defense against common RCE payloads, especially those targeting command execution.
f. Disable Unnecessary Features: If the application does not explicitly require deserialization of complex objects from external sources, consider disabling or restricting the functionality within ImaginaryFramework.SerializationLib that enables this. Consult library documentation for configuration options to limit deserialization capabilities.
4. DETECTION METHODS
a. Log Monitoring and Analysis:
i. Application Logs: Monitor for unexpected errors related to deserialization, unusual object instantiation, or attempts to execute system commands.
ii. System Logs: Look for unexpected process creations, shell commands being executed, unusual outbound network connections from the application's user context, or modifications to critical system files.
iii. Web Server Logs: Analyze HTTP request logs for unusual POST bodies, large or malformed serialized payloads, or requests targeting internal application endpoints that typically don't receive such data.
b. Intrusion Detection/Prevention Systems (IDS/IPS): Deploy and keep IDS/IPS signatures up-to-date. Look for signatures that detect common RCE payloads, deserialization attacks, or unusual network traffic patterns originating from affected systems.
c. Endpoint Detection and Response (EDR): Utilize EDR solutions to monitor for anomalous process activity, file system changes, registry modifications, and network connections on servers running the vulnerable library. Configure alerts for suspicious behaviors related to command execution or privilege escalation.
d. Vulnerability Scanning: Regularly perform authenticated vulnerability scans of your application environment. Update your vulnerability scanners with the latest definitions that include checks for CVE-2026-76298 once available.
e. Runtime Application Self-Protection (RASP): Implement RASP solutions to monitor and block deserialization attacks in real-time by inspecting application execution flow and data.
5. LONG-TERM PREVENTION
a. Secure Development Lifecycle (SD