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VulnerabilityPublished

CVE-2026-73484: FlowiseAI Flowise · Incomplete List of Disallowed Inputs

Affects FlowiseAI FlowiseSource CVE Database V5

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Not known to be exploited · CVSS 8.6 High : upgrade to 3.1.3 soon.

Data as of 12 Nov 2026, 23:24 UTC

CVSS 4.0 base score
8.6High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 38% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.1.3
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 13 Aug 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 13 Nov 2026.

What to do

Upgrade Flowise and flowiseai/Flowise to 3.1.3.

Affected software

ProductAffectedFixed in
FlowiseAIFlowiseAffected
  • <3.1.3
Fixed in
  • 3.1.3
GitHubflowiseai/Flowisepkg:github/flowiseai/FlowiseOther threatsAffected
  • <3.1.3
Fixed in
  • 3.1.3

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

AI-suggested

Since the vulnerability affects versions before 3.1.3, upgrading to version 3.1.3 or later (once confirmed by the vendor) is recommended. If you cannot patch yet, restrict authenticated user capabilities and monitor for suspicious activity related to Pandas DataFrame method usage.

Description

Flowise before 3.1.3 contains a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. Authenticated attackers can exploit this to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem.

References

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