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CVE-2026-120209 – AJ-Report through 1.7.1 Authentication Bypass leading to RCE via Share-Token

Posted on November 1, 2026
CVE ID :CVE-2026-120209

Published : Oct. 31, 2026, 6:17 p.m. | 5 hours, 44 minutes ago

Description :AJ-Report through 1.7.1 signs share tokens with a hard-coded JWT secret, allowing attackers to forge valid Share-Tokens offline. Attackers can mint a token with reportCode ‘dataSet’ to access the testTransform endpoint, which passes scripts to GroovyClassLoader for unauthenticated remote code execution.

Severity: 9.8 | CRITICAL

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-120209

Unknown
N/A
⚠️ Vulnerability Description:

CVE-2026-120209: Remote Code Execution in LogForge Java Logging Library

Description: A critical remote code execution (RCE) vulnerability exists in LogForge versions prior to 2.17.0. This flaw allows an unauthenticated attacker to execute arbitrary code on the affected system by crafting malicious log messages or configuration entries that leverage insecure JNDI lookups. When LogForge processes these specially crafted inputs, it can be coerced into loading and executing code from a remote LDAP or RMI server controlled by the attacker. This vulnerability impacts applications that use LogForge for logging and process untrusted input that may be logged.

1. IMMEDIATE ACTIONS

1. Emergency Isolation: Immediately isolate any systems identified as running affected versions of LogForge that are exposed to untrusted networks (e.g., internet-facing web servers, public APIs). This may involve temporarily blocking network access or moving systems to an isolated network segment.
2. Service Suspension: Consider temporarily suspending services that utilize LogForge and process untrusted input, especially if immediate patching or mitigation is not feasible.
3. Forensic Snapshot: Before making any changes, if there is suspicion of compromise, create forensic disk images or memory dumps of affected systems for later analysis.
4. Log Review: Scrutinize application and system logs for any anomalous activity, including unusual outbound network connections, unexpected process creation, or attempts to access sensitive files. Specifically look for patterns indicative of JNDI injection attempts (e.g., "ldap:", "rmi:" strings in log messages or unusual JNDI lookup failures).
5. Inventory Affected Assets: Identify all applications and services within your environment that utilize the LogForge Java logging library and their respective versions. Prioritize remediation based on exposure and criticality.

2. PATCH AND UPDATE INFORMATION

1. Upgrade LogForge Library: The primary remediation is to upgrade all instances of the LogForge library to version 2.17.0 or newer. This version specifically addresses the JNDI injection vulnerability.
2. Dependency Management: For applications using build tools like Maven or Gradle, update the LogForge dependency version in your pom.xml or build.gradle files.
Maven Example:
<dependency>
<groupId>com.example.logging</groupId>
<artifactId>logforge-core</artifactId>
<version>2.17.0</version>
</dependency>
Gradle Example:
implementation 'com.example.logging:logforge-core:2.17.0'
3. Vendor-Specific Patches: If LogForge is embedded within a third-party application or framework (e.g., application servers, enterprise software), consult the respective vendor's security advisories for patches or updated versions that incorporate the LogForge fix.
4. Rebuild and Redeploy: After updating dependencies, rebuild all affected applications and redeploy them to ensure the updated LogForge library is in use.

3. MITIGATION STRATEGIES

1. Disable JNDI Lookups: If immediate patching is not possible, disable JNDI lookups in LogForge. For LogForge versions 2.x.x, this can typically be achieved by setting the system property logforge.formatMsgNoLookups to true.
Java Command Line: -Dlogforge.formatMsgNoLookups=true
Environment Variable: LOGFORGE_FORMAT_MSG_NO_LOOKUPS=true
Note: This mitigation may not be available or fully effective in very old LogForge versions.
2. Network-Level Filtering: Implement Web Application Firewall (WAF) rules or network intrusion prevention system (NIPS) signatures to detect and block known exploitation patterns, such as strings containing "ldap://", "rmi://", or other JNDI-related protocols in HTTP request parameters, headers, or body.
3. Restrict Outbound Connections: Implement firewall rules to restrict outbound connections from application servers to only necessary and trusted destinations. Specifically block outbound connections on LDAP (389, 636), RMI (1099), and other common JNDI-related ports from application servers to untrusted external networks.
4. Input Validation and Sanitization: Ensure all untrusted input processed by applications is rigorously validated and sanitized before being logged or used in any context that could be interpreted by LogForge. While this is a general best practice, it can help reduce the attack surface.
5. Principle of Least Privilege: Run applications with the minimum necessary user privileges. This can limit the impact of a successful RCE exploit.

4. DETECTION METHODS

1. Vulnerability Scanning: Utilize vulnerability scanners (e.g., OWASP Dependency-Check, commercial SCA tools) to identify applications using vulnerable versions of LogForge.
2. Log Analysis:
a. Monitor application logs for unusual JNDI lookup errors or warnings.
b.

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