CWE-273Weakness · CWE-273

CVE-2026-60085

HIGH · 7.5 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 →
84/100
Remediation priority · High
Remotely reachable No privileges Zero-click 6 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 before 4.6.78 contains an unenforced security policy vulnerability in the default Subprocess Sandbox backend where blocked_commands, blocked_paths, blocked_imports, allow_subprocess, and allow_file_write restrictions are completely ignored. Attackers can execute arbitrary subprocess commands, read sensitive files, and perform destructive operations despite explicit security policy configuration.

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 · high confidence

PraiseonAI before 4.6.78 has a Subprocess Sandbox backend where configured security policies (blocked_commands, blocked_paths, blocked_imports, allow_subprocess, allow_file_write) are defined but never actually enforced in code, allowing attackers to bypass all restrictions and execute arbitrary commands, read sensitive files, or perform destructive operations.

MitigationUpgrade to PraisonAI version 4.6.78 or later where security policy restrictions are properly enforced in the Subprocess Sandbox backend.

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
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

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

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 installed PraisonAI version
    Run 'pip show praisonai' or 'python -c "import praisonai; print(praisonai.__version__)"' to get the installed version number
    Affected if Version is before 4.6.78 (e.g., 4.6.77, 4.6.0, etc.)
  2. Identify the sandbox backend configuration
    Inspect your PraisonAI configuration or initialization code for the 'backend' or 'sandbox' setting. Look for 'Subprocess' or 'subprocess' being used as the backend option
    Affected if The Subprocess Sandbox backend is enabled (value is 'Subprocess' or 'subprocess')
  3. Check for security policy configuration
    Search configuration files, environment variables, or initialization code for any of these settings: blocked_commands, blocked_paths, blocked_imports, allow_subprocess, allow_file_write
    Affected if Any security policy settings are defined (the vulnerability is that these policies exist but are not enforced)

You are affected if you use PraisonAI version below 4.6.78 with the Subprocess Sandbox backend and have security policies configured or expect them to work.

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 version 4.6.78 or later where security policy restrictions are properly enforced in the Subprocess Sandbox backend.

Recommended fix High confidence

PraisonAI 4.6.78 or later

  1. 1. Check current installed version of PraisonAI using: pip show praisonai or pip list | grep praisonai
  2. 2. Upgrade to version 4.6.78 or later using: pip install --upgrade praisonai>=4.6.78
  3. 3. Verify the upgrade was successful by running: pip show praisonai and confirming the version number
  4. 4. Test that the Subprocess Sandbox security policies (blocked_commands, blocked_paths, blocked_imports, allow_subprocess, allow_file_write) are now properly enforced

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

Have this fixed Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing3.0 h
  • Review / QA2.0 h
14.0 hours of engineering $2,490
Get help mitigating

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $3,984.

Scan for this in your stack

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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-2026-60085 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
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  • No spam, self-promotion, credentials, or personal data