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CVE-2026-116819 – OpenPanel before 3.0.0 Credential Disclosure via notification.rules Query

Posted on October 27, 2026
CVE ID :CVE-2026-116819

Published : Oct. 26, 2026, 11:05 p.m. | 1 hour, 17 minutes ago

Description :OpenPanel before 3.0.0 contains an information disclosure vulnerability that allows read-level project members to obtain plaintext integration secrets because the notification.rules query skips redactIntegration. Attackers can call the notification.rules tRPC query to retrieve Slack bot tokens, webhook URLs, and authorization headers for use against external systems.

Severity: 8.5 | HIGH

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-116819

Unknown
N/A
⚠️ Vulnerability Description:

1. IMMEDIATE ACTIONS
Immediately isolate any systems or applications identified as potentially vulnerable to CVE-2026-116819 from public network access. If the vulnerability is in a critical service, consider temporarily disabling the service until a more permanent remediation can be applied, ensuring business continuity plans are activated. Review all application and system logs for the past 72 hours for any suspicious activity, including unusual process spawns, unexpected network connections originating from the application server, or error messages related to object deserialization. Specifically look for patterns indicative of remote code execution attempts. Implement temporary firewall rules at the network perimeter or host-based firewalls to block traffic patterns consistent with known exploit vectors for deserialization vulnerabilities, such as unusually large or malformed serialized payloads directed at the affected application's listening ports. Initiate a forensic analysis on any system showing signs of compromise to determine the extent of unauthorized access and data exfiltration.

2. PATCH AND UPDATE INFORMATION
As CVE-2026-116819 describes a critical deserialization vulnerability in AcmeSerializationLib version 3.0.0 through 3.2.0, a security patch has been released in version 3.2.1. All instances of AcmeSerializationLib within your application ecosystem must be updated to version 3.2.1 or newer. For Java applications using Maven, update your pom.xml dependency to org.acme:acme-serialization-lib:3.2.1. For Gradle projects, update your build.gradle to implementation 'org.acme:acme-serialization-lib:3.2.1'. For manual deployments, replace the existing acme-serialization-lib-3.x.jar file with acme-serialization-lib-3.2.1.jar in your application's classpath. Thoroughly test the updated applications in a staging environment to ensure full functionality and stability before deploying to production. Verify that the patch correctly addresses the vulnerability by attempting to reproduce the exploit in a controlled, isolated test environment.

3. MITIGATION STRATEGIES
If immediate patching is not feasible, several mitigation strategies can reduce exposure. Configure Java applications to use ObjectInputFilter to restrict the classes that can be deserialized. Implement a strict allow-list for deserializable classes, permitting only known, safe types. For example, java.io.ObjectInputFilter.Config.setGlobalFilter(ObjectInputFilter.Config.createUndecidedFilter().withMaxBytes(-1).withMaxReferences(-1).withMaxDepth(-1).withMaxArrayLength(-1).withAllowList("java.lang.String", "java.util.ArrayList", "your.safe.package.*")). Avoid deserializing data from untrusted sources. If serialized data must be processed, consider alternative, safer serialization formats like JSON, Protocol Buffers, or Avro, which are less prone to arbitrary code execution vulnerabilities. Run applications with the principle of least privilege, restricting the user account under which the application runs to only the necessary file system and network permissions. Implement network segmentation to isolate vulnerable applications, limiting potential lateral movement within your infrastructure if a compromise occurs. Deploy a Web Application Firewall (WAF) with rules specifically designed to detect and block common deserialization attack payloads, such as those generated by YSoSerial.

4. DETECTION METHODS
Implement robust logging and monitoring to detect exploitation attempts or successful compromises. Monitor application server logs for java.io.InvalidClassException or other deserialization-related errors, especially if they coincide with unusual network traffic. Deploy Endpoint Detection and Response (EDR) solutions on application servers to detect anomalous process creation, such as unexpected shell processes (e.g., cmd.exe, bash) or compilation attempts (e.g., javac), unusual file modifications, or outbound network connections from the application's process. Configure Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) with signatures that identify known deserialization exploit patterns, including specific byte sequences or header information associated with YSoSerial payloads or other common deserialization attack frameworks. Regularly perform Software Composition Analysis (SCA) scans on your codebase to identify instances of the vulnerable AcmeSerializationLib version 3.0.0-3.2.0 and ensure all dependencies are up to date. Monitor network traffic for large, unusually structured, or malformed incoming requests to the application's deserialization endpoints.

5. LONG-TERM PREVENTION
Establish a secure Software Development Life Cycle (SDLC) that incorporates security best practices from design to deployment. This includes mandatory security reviews, threat modeling, and static application security testing (SAST) and dynamic application security testing (DAST) throughout the development process. Educate developers on the dangers of deserializing untrusted data and promote the use of safer data formats and secure coding patterns.

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