Server-side Request Forgery (SSRF) Affecting praisonaiagents package, versions [,1.5.95)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsSnyk Learn
Learn about Server-side Request Forgery (SSRF) vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-PYTHON-PRAISONAIAGENTS-15915637
- published6 Apr 2026
- disclosed1 Apr 2026
- creditYeran Gamage
Introduced: 1 Apr 2026
CVE-2026-34954 (opens in a new tab)How to fix?
Upgrade praisonaiagents to version 1.5.95 or higher.
Overview
praisonaiagents is a Praison AI agents for completing complex tasks with Self Reflection Agents
Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) via the download_file function when the url parameter is not validated before being passed to the HTTP request. An attacker can access internal or sensitive network resources by supplying a crafted URL, potentially retrieving confidential information such as cloud metadata or credentials.