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VulnerabilityPublished Updated

CVE-2026-33873: langflow · Code Injection

Affects langflowSource CVE Database V5

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Not known to be exploited · CVSS 9.3 Critical : upgrade to 1.9.0 as a priority.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 4.0 base score
9.3Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.4% chance of exploitation in 30 days – higher than 73% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.9.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Mar 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 langflow to 1.9.0.

Affected software

ProductAffectedFixed in
langflow-ailangflowAffected
  • <1.9.0
Fixed in
  • 1.9.0
PyPIlangflowpkg:pypi/langflowOther threatsAffected
  • <1.9.0
Fixed in
  • 1.9.0

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

AI-suggested

Upgrade langflow to version 1.9.0 or later, where this vulnerability is fixed. No other official mitigations are indicated. Patch status is confirmed by the vendor's versioning information. Users should not use versions prior to 1.9.0 in environments where untrusted users can access the Agentic Assistant feature.

Description

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.9.0, the Agentic Assistant feature in Langflow executes LLM-generated Python code during its validation phase. Although this phase appears intended to validate generated component code, the implementation reaches dynamic execution sinks and instantiates the generated class server-side. In deployments where an attacker can access the Agentic Assistant feature and influence the model output, this can result in arbitrary server-side Python execution. Version 1.9.0 fixes the issue.

References

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