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VulnerabilityPublished Updated

CVE-2026-39307: MervinPraison PraisonAI · Path Traversal

Affects MervinPraison PraisonAISource CVE Database V5

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Not known to be exploited · CVSS 8.1 High : upgrade to 4.5.113 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
8.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 24% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 4.5.113, 1.5.113
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 Apr 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade PraisonAI to 4.5.113; mervinpraison/PraisonAI to 1.5.113.

Affected software

ProductAffectedFixed in
MervinPraisonPraisonAIAffected
  • <4.5.113
Fixed in
  • 4.5.113
GitHubmervinpraison/PraisonAIpkg:github/mervinpraison/PraisonAIOther threatsAffected
  • <1.5.113
Fixed in
  • 1.5.113

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade PraisonAI to version 1.5.113 or later, where this vulnerability is fixed. Since the vendor advisory indicates the issue is resolved in this version, applying the official update is the recommended remediation. No other mitigation or temporary workaround is specified.

Description

PraisonAI is a multi-agent teams system. Prior to 1.5.113, The PraisonAI templates installation feature is vulnerable to a "Zip Slip" Arbitrary File Write attack. When downloading and extracting template archives from external sources (e.g., GitHub), the application uses Python's zipfile.extractall() without verifying if the files within the archive resolve outside of the intended extraction directory. This vulnerability is fixed in 1.5.113.

References

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