CVE-2026-61439: MervinPraison PraisonAI prompt injection defense bypass

CVE-2026-61439 · Severity: high · CVSS 7.5 · Published 2026-07-11

PraisonAI, a framework for managing AI agents, contains a security misconfiguration in its prompt injection defense layer. By default, the system only blocks malicious inputs if they trigger three or more security checks simultaneously, allowing single-vector attacks to bypass protection. This could allow attackers to trick the AI into revealing sensitive system instructions, executing unauthorized commands, or manipulating financial transactions if the AI has access to payment tools.

Technologies: praisonai (PyPI). Vendors: PyPI.

Quick answers

Is CVE-2026-61439 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-61439 being exploited in the wild.
How severe is CVE-2026-61439?
High severity, with a CVSS score of 7.5, published 11 July 2026.
Which products and versions are affected?
praisonai (PyPI) <= 4.6.77, ECOSYSTEM:introduced=0,fixed=4.6.78.
Is there a fix for CVE-2026-61439?
Yes. praisonai (PyPI): upgrade to 4.6.78 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-61439 attacked?
It is attacked over the network, in a software library.
Am I affected by CVE-2026-61439?
Check whether you run praisonai (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

  • praisonai (PyPI): upgrade to 4.6.78 or later
    pip install "praisonai>=4.6.78"

Technical details

A vulnerability exists in the InjectionDefense class of PraisonAI due to an insecure default block threshold. The system is configured by default to only block inputs with a CRITICAL threat level, which requires three or more detection categories (such as instruction overrides, financial manipulation, or obfuscation) to trigger simultaneously. Consequently, single-vector prompt injection attacks that trigger a HIGH severity rating are logged but not blocked, allowing them to reach the underlying Large Language Model (LLM). Attackers can exploit this to perform system prompt extraction, unauthorized tool invocation, or session context exfiltration. The issue is resolved in version 4.6.78 by lowering the default block threshold to HIGH.

Affected products

  • MervinPraison PraisonAI < 4.6.78

Identifiers

  • CVE-2026-61439
  • GHSA-fj8f-m44g-c479
  • PYSEC-2026-4255

Timeline

  • 2026-06-25: advisory: Vendor advisory published on GitHub
  • 2026-07-11: disclosed: CVE published to NVD
  • 2026-07-11: patched: Fix released in version 4.6.78

References

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