PraisonAI CVE-2026-44338 Auth Bypass Targeted Within Hours of Disclosure

“The impact therefore, depends on what the operator’s agents.yaml is allowed to do, but the authentication bypass is unconditional in the shipped legacy server,” PraisonAI said.

The vulnerability affects all versions of the Python package from 2.5.6 through 4.6.33. It has been patched in version 4.6.34. Security researcher Shmulik Cohen has been credited with discovering and reporting the bug.

In a report published by Sysdig this week, the cloud security company said it observed attempts to exploit the flaw within hours of it becoming public knowledge.

“Within three hours and 44 minutes of the advisory becoming public, a scanner identifying itself as CVE-Detector/1.0 was probing the exact vulnerable endpoint on internet-exposed instances,” it said. “The advisory was published [on May 11, 2026,] at 13:56 UTC. The first targeted request landed at 17:40 UTC the same day.”

The activity, per Sysdig, originated from the IP address 146.190.133[.]49 and followed a packaged-scanner profile that carried out two passes spaced eight minutes apart, with each pass pushing approximately 70 requests in roughly 50 seconds.

While the first pass scanned generic disclosure paths (/.env, /admin, /users/sign_in, /eval, /calculate, /Gemfile.lock), the second pass specifically singled out AI-agent surfaces, including PraisonAI.

“The probe that matched CVE-2026-44338 directly was a single GET /agents with no Authorization header and User-Agent CVE-Detector/1.0,” Sysdig said. “That request returns 200 OK with body {“agent_file”:”agents.yaml”,”agents”:[…]}, confirming the bypass was successful.”

The scanner has not been found to send any POST request to the “/chat” endpoint during either pass, indicating the activity is consistent with an initial check to determine if the auth bypass works and confirm if the host is exploitable via CVE-2026-44338.

The rapid exploitation of the PraisonAI is the latest example of a broader trend where threat actors are increasingly adopting newly disclosed flaws into their arsenal before they can be patched. Users are advised to apply the latest fixes as soon as possible, audit existing deployments, review model provider billing for any suspicious activity, and rotate credentials referenced in “agents.yaml.”

“Adversary tooling has scaled to the entire AI and agent ecosystem — no matter the size, and not just the household names – and the operating assumption for any project that ships an unauthenticated default must be that the window between disclosure and active exploitation is measured in single-digit hours,” Sysdig said.