CVE-2026-56078: PraisonAI Path Traversal in MultiAgentMonitor (v1.5.115)

Technical summary

CVE-2026-56078 is a path traversal vulnerability (CWE-22) in the MultiAgentMonitor module of PraisonAI. The root cause is insufficient input sanitization when agent IDs are used to construct file system paths. An authenticated attacker can supply a specially crafted agent ID containing directory traversal sequences (../) to bypass directory restrictions and access, read, write, or overwrite arbitrary files on the target system. The vulnerability requires valid authentication credentials (PR:L in the CVSS vector) but does not require user interaction, making it exploitable by any authenticated user with access to the agent monitoring interface. The attack surface is network-accessible, and successful exploitation can result in complete confidentiality, integrity, and availability compromise.

Business impact

Organizations running PraisonAI in multi-tenant or production environments face immediate risk of data exfiltration, configuration tampering, and service disruption. Attackers who gain initial authentication (through credential compromise, insider threat, or weak default credentials) can pivot to reading configuration files containing API keys, database credentials, or proprietary data. In worst-case scenarios, file write capabilities could enable arbitrary code execution, turning this into a remote code execution vulnerability. The HIGH CVSS score (8.8) reflects that while authentication is required, the impact scope is severe and the exploitation complexity is low.

Affected systems

All versions of PraisonAI prior to 1.5.115 are affected. Organizations should immediately identify all deployed instances and their version numbers. The vulnerability specifically impacts the MultiAgentMonitor component, so any deployment using agent monitoring functionality is at risk. There is no indication this vulnerability was publicly exploited prior to disclosure, but organizations should assume post-disclosure attack activity is likely.

Exploitability

Exploitation requires valid authentication credentials to the PraisonAI instance. The attack is straightforward—an attacker simply needs to supply a malicious agent ID containing traversal sequences when interacting with the monitoring interface. No special tools, privilege escalation, or complex social engineering is required beyond obtaining initial user credentials. The attack surface includes any API endpoint or interface that accepts agent ID input and passes it to file operations without sanitization. The lack of user interaction required (UI:N) means exploitation can be automated and scaled across multiple instances.

Remediation

Upgrade to PraisonAI version 1.5.115 or later, which includes proper input validation and sanitization for agent IDs. The fix ensures that agent IDs are validated against an allowlist of permitted characters and that path traversal sequences are rejected before file operations occur. Before patching, organizations should audit access logs for suspicious agent ID patterns, monitor file system access from the PraisonAI process, and consider restricting network access to the PraisonAI instance if possible.

Patch guidance

Apply the upgrade to version 1.5.115 or later as soon as operationally feasible. Verify the patch through official PraisonAI release channels and changelogs. If immediate patching is not possible, implement compensating controls: restrict authentication tokens or user accounts with MultiAgentMonitor access, disable the agent monitoring feature if not required, and implement file integrity monitoring on sensitive directories. Test the patched version in a non-production environment first to ensure compatibility with existing agent configurations and workflows.

Detection guidance

Monitor system logs and PraisonAI application logs for agent IDs containing unusual characters, particularly forward slashes, backslashes, or dot sequences. Look for file access patterns from the PraisonAI process targeting files outside the expected agent data directories. Use file integrity monitoring tools to detect unauthorized writes to sensitive configuration or credential files. In network-based detection, inspect API requests to endpoints that accept agent ID parameters for traversal patterns. Implement alerting on failed file access attempts that indicate path traversal exploitation attempts. Review authentication logs for unusual or compromised account activity that might precede an exploitation attempt.

Why prioritize this

This vulnerability merits immediate attention due to its HIGH CVSS score (8.8), low exploitation complexity, and broad impact potential. Although authentication is required, the file read/write/execute capabilities enable complete system compromise. The combination of network accessibility, lack of user interaction, and high-impact outcomes (confidentiality, integrity, and availability) makes this a critical priority for patching. Organizations using PraisonAI in production or development environments should prioritize this over other non-critical updates.

Risk score, explained

The CVSS 3.1 score of 8.8 reflects: (1) Network accessibility (AV:N) means the vulnerability is remotely exploitable without physical access; (2) Low attack complexity (AC:L) indicates straightforward exploitation requiring no special conditions; (3) Low privileges required (PR:L) means any authenticated user can exploit it, but not unauthenticated users; (4) No user interaction (UI:N) enables automated attacks; (5) Unchanged scope (S:U) means impact is limited to the vulnerable component; (6) High impact on all three CIA triad aspects—confidentiality (C:H) allows reading arbitrary files, integrity (I:H) allows writing/overwriting files, and availability (A:H) allows deleting critical files or causing denial of service. The HIGH severity label reflects the serious nature and ease of exploitation, though the authentication requirement prevents a CRITICAL rating.

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