CVE-2026-61444 in PraisonAIinfo

Summary

by MITRE • 07/10/2026

PraisonAI versions before 4.6.78 contain a code injection vulnerability in deploy/api.py where the agents_file parameter is directly interpolated into an f-string without sanitization. Attackers can inject arbitrary Python code that executes when the generated server code runs via subprocess.Popen().

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Analysis

by VulDB Data Team • 07/10/2026

The PraisonAI software ecosystem presents a critical code injection vulnerability in versions prior to 4.6.78 that fundamentally compromises system security through improper input validation within its deployment infrastructure. This vulnerability exists specifically within the deploy/api.py module where the agents_file parameter undergoes direct interpolation into an f-string without any sanitization or validation measures. The flaw represents a classic instance of insufficient input sanitization that enables attackers to inject malicious code directly into the application's execution flow, creating a dangerous attack surface that can be exploited across multiple operational domains.

The technical implementation of this vulnerability stems from the application's failure to properly validate user-supplied input before incorporating it into executable code contexts. When an attacker provides malicious input through the agents_file parameter, the system processes this unvalidated data directly within an f-string template that ultimately gets executed via subprocess.Popen(). This execution pattern creates a direct code injection vector where arbitrary Python code can be executed with the privileges of the running application process. The vulnerability manifests as a path traversal and code execution flaw that can be leveraged to gain unauthorized access to system resources and potentially escalate privileges within the operational environment.

The operational impact of this vulnerability extends beyond simple code execution, creating a comprehensive security risk that affects both system integrity and data confidentiality. Attackers exploiting this vulnerability can execute arbitrary commands on the host system, potentially gaining access to sensitive information, modifying system configurations, or establishing persistent backdoors. The use of subprocess.Popen() for executing generated server code amplifies the attack surface since this function can spawn processes with elevated privileges depending on how the application is configured and run within the target environment. This vulnerability can be particularly dangerous in containerized environments where privilege escalation might occur through compromised application processes.

Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural improvements to prevent similar issues from occurring in future releases. The primary fix involves implementing strict input validation and sanitization routines that reject any potentially malicious input before it can be processed within code generation contexts. This approach aligns with established security practices outlined in CWE-74 and CWE-94, which specifically address injection flaws and improper input handling. Additionally, the implementation should incorporate principle of least privilege concepts where generated code execution occurs with minimal required permissions rather than elevated system privileges.

Security teams should implement comprehensive monitoring and detection mechanisms to identify potential exploitation attempts through anomalous code generation patterns or unexpected subprocess execution calls. The vulnerability's presence in an API endpoint makes it particularly susceptible to automated scanning tools that can rapidly identify and exploit such injection points across multiple systems. Organizations should also consider implementing runtime application self-protection measures and input validation layers that can detect and prevent malicious payloads from being processed through the vulnerable code path. This remediation approach aligns with ATT&CK technique T1059 which covers command and scripting interpreter usage for code execution, ensuring that defensive measures address both the immediate vulnerability and potential exploitation patterns that attackers might employ.

Responsible

VulnCheck

Reservation

07/09/2026

Disclosure

07/10/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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