Vulnary
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Critical· 9.9official fix available

CVE-2026-39888

A security flaw in the PraisonAI multi-agent system allows users to break out of the intended code execution sandbox. By using specific Python attributes, an attacker can bypass security restrictions and access the underlying system's core functions.

publishedApr 8, 2026
last modifiedJul 24, 2026
sourcesNVD
severity · cvss
9.9
critical · how bad it is
exploitation · epss
<1%
39th percentile · chance of exploitation in 30 days
(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →
auto-deletes from the system
counting…on Aug 25, 2026

An official fix is available, so this entry is kept for 30 days and then removed automatically.

01

Who is affected

Users of the PraisonAI multi-agent teams system prior to version 1.5.115.

02

Real-world impact

An attacker could execute unauthorized code on the host system, potentially gaining full control over the environment by bypassing the software's built-in security layers.

03

Why this severity

This vulnerability is rated critical because it allows a low-privileged user to bypass security sandboxing to achieve complete system compromise (high impact on confidentiality, integrity, and availability) via a network-accessible path.

04

What to do about it

official fix available
recommended steps
  1. 01Upgrade PraisonAI to version 1.5.115 or later.

NVD-referenced vendor advisory

05

Timeline

  1. Apr 8, 2026 · Apr 8, 2026
    Published
    Disclosed and added to the National Vulnerability Database.
  2. Jul 24, 2026 · 11d ago
    Advisory updated
    The NVD record was last revised.
  3. Jul 26, 2026 · 10d ago
    Official fix available
    A vendor patch or mitigation now exists — see the remediation steps above.
06

How it’s attacked

Attack vectorNetwork (remote)
Attack complexityLow
Privileges requiredLow
User interactionNone needed
ScopeChanged
Confidentiality impactHigh
Integrity impactHigh
Availability impactHigh
07

References & advisories

(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →