CVE-2026-44335

PraisonAI · PraisonAI

PraisonAI contains a logical flaw in its URL checking mechanism that allows unauthenticated attackers to perform Server-Side Request Forgery (SSRF) attacks.

Executive summary

A logical flaw in PraisonAI's URL validation logic exposes the application to Server-Side Request Forgery (SSRF), potentially allowing unauthorized internal network access.

Vulnerability

The application's URL checking logic is insufficient, allowing an unauthenticated attacker to bypass security filters. This enables the application to be used as a proxy to send requests to internal resources that are otherwise inaccessible from the public internet.

Business impact

SSRF vulnerabilities can lead to the exposure of internal-only services, metadata endpoints, and sensitive configuration interfaces. By leveraging the internal trust of the server, an attacker can bypass traditional network defenses. The 9.8 CVSS score reflects the high potential for lateral movement and internal reconnaissance within the organization's infrastructure.

Remediation

Immediate Action: Upgrade to PraisonAI version 1.6.32 or later to rectify the URL validation logic flaws.

Proactive Monitoring: Monitor egress traffic from the server for requests directed toward internal IP ranges or sensitive internal services.

Compensating Controls: Implement strict network segmentation and egress filtering to prevent the application server from initiating connections to sensitive internal network segments.

Exploitation status

Public Exploit Available: false

Analyst recommendation

Given the potential for internal network exposure, this vulnerability requires immediate attention. Administrators must apply the patch version 1.6.32 to prevent SSRF-based attacks that could lead to broader infrastructure compromise.