Code InjectionWeakness · CWE-94

CVE-2026-61446

HIGH · 8.4 CVSS v3.1 Published 2026-07-15
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
89/100
Remediation priority · High
No privileges Zero-click 5 weeks old

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
PraisonAI (praisonaiagents) before 1.6.78 contains a remote code execution vulnerability in the plugin manager, which loads and executes arbitrary Python (.py) files from project-level and user-home .praisonai/plugins/ directories using importlib spec_from_file_location() and exec_module() without code signing, integrity verification, or sandboxing. An attacker who can write a malicious .py file to a plugin directory (for example via path traversal, a supply chain attack, or a compromised dependency) achieves arbitrary code execution when the plugin system initializes.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · moderate confidence

The PraisonAI plugin manager before version 1.6.78 uses importlib's spec_from_file_location() and exec_module() to dynamically load Python files from .praisonai/plugins/ directories without any code signing, integrity verification, or sandboxing, allowing arbitrary code execution.

MitigationUpgrade to PraisonAI 1.6.78 or later; if immediate upgrade is not feasible, restrict write access to .praiseonai/plugins/ directories and audit all dependencies for compromise.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Local
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check PraisonAI version
    Run 'pip show praisonai' or 'pip list | grep praisonai' to find the installed version
    Affected if Version is before 1.6.78 and the plugin directories exist with writable permissions
  2. Locate project-level plugins directory
    Search for .praisonai/plugins/ directory in the current working directory and common project locations
    Affected if Directory exists and is writable by the user or an attacker
  3. Locate user-home plugins directory
    Check for .praisonai/plugins/ in the user's home directory (echo $HOME/.praisonai/plugins/)
    Affected if Directory exists and is writable by the user or an attacker
  4. Inspect plugin directories for Python files
    List all .py files in both .praisonai/plugins/ directories found above using 'find .praisonai/plugins/ -name "*.py"'
    Affected if Any .py files are present that were not placed there by a trusted administrator

User is affected if PraisonAI version is below 1.6.78 AND the .praisonai/plugins/ directories exist and contain any Python files that could have been placed by an untrusted party.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Upgrade to PraisonAI 1.6.78 or later; if immediate upgrade is not feasible, restrict write access to .praiseonai/plugins/ directories and audit all dependencies for compromise.

Recommended fix Moderate confidence

Upgrade to praisonai or praisonaiagents version 1.6.78 or later

  1. Check current installed version of praisonai or praisonaiagents using: pip show praisonai or pip show praisonaiagents
  2. Upgrade to version 1.6.78 or later using: pip install --upgrade praisonai>=1.6.78 or pip install --upgrade praisonaiagents>=1.6.78
  3. Verify the upgrade was successful by checking the installed version again
Caveat Review plugin directory (.praisonai/plugins/) for any custom plugins that may need updating after upgrade

Generated from the published advisory — verify against the referenced sources before acting.

Have this fixed Scoped from the published advisory
  • Consultation6.0 h
  • Implementation20.0 h
  • Testing12.0 h
  • Review / QA6.0 h
44.0 hours of engineering $7,680
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-61446 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data