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VulnerabilityPublished

CVE-2026-44337: MervinPraison PraisonAI · Improper Input Validation

Affects MervinPraison PraisonAISource CVE Database V5

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Not known to be exploited · CVSS 6.3 Medium : upgrade to 4.6.34 when convenient.

Data as of 29 Oct 2026, 19:04 UTC

CVSS 3.1 base score
6.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 12% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 4.6.34
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 8 May 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 29 Oct 2026.

What to do

Upgrade PraisonAI and mervinpraison/PraisonAI to 4.6.34.

Affected software

ProductAffectedFixed in
MervinPraisonPraisonAIAffected
  • >=2.4.1 <4.6.34
Fixed in
  • 4.6.34
GitHubmervinpraison/PraisonAIpkg:github/mervinpraison/PraisonAIOther threatsAffected
  • >=2.4.1 <4.6.34
Fixed in
  • 4.6.34

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 4.6.34 or later, where this vulnerability has been patched. Since this is an on-premises product, applying the official update is necessary to remediate the issue. Patch status is confirmed by the vendor's advisory indicating the fix in version 4.6.34.

Description

PraisonAI is a multi-agent teams system. From version 2.4.1 to before version 4.6.34, PraisonAI exposes optional SQL/CQL-backed knowledge-store implementations that build table and index identifiers from unvalidated name and collection arguments. Applications that pass untrusted collection names into these backends can trigger SQL or CQL injection. This issue has been patched in version 4.6.34.

References

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