LangflowApplication

CVE-2026-3357

HIGH · 8.8 CVSS v3.1 Published 2026-04-08
Fix available
A fix is available. Upgrade to 1.8.3 or later.
See remediation →
94/100
Remediation priority · Urgent
Remotely reachable Zero-click

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
IBM Langflow Desktop 1.6.0 through 1.8.2 Langflow could allow an authenticated user to execute arbitrary code on the system, caused by an insecure default setting which permits the deserialization of untrusted data in the FAISS component.

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

IBM Langflow Desktop versions 1.6.0 through 1.8.2 contains an insecure default configuration that allows deserialization of untrusted data in the FAISS (Facebook AI Similarity Search) component, enabling authenticated users to achieve arbitrary code execution.

MitigationUpgrade to a patched version of IBM Langflow Desktop. If immediate patching is not feasible, review and restrict FAISS deserialization settings to reject untrusted data sources.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
LangflowApplication
Affected:>= 1.6.0, < 1.8.3

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
Low
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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

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 Langflow version
    Run 'pip show langflow' or check your package manager to find the installed version of Langflow
    Affected if The installed version is >= 1.6.0 and < 1.8.3
  2. Verify FAISS is installed
    Run 'pip show faiss-cpu' or 'pip show faiss-gpu' to confirm the FAISS library is present in your environment
    Affected if FAISS is installed and available to Langflow
  3. Check for active flows using FAISS
    Inspect your Langflow flows or configurations for any vector store components that utilize FAISS for similarity search
    Affected if Any flow is configured to use FAISS as a vector store backend
  4. Inspect FAISS deserialization settings
    Review Langflow configuration files or environment variables for settings related to FAISS data loading, particularly any that control deserialization of stored vectors
    Affected if FAISS is configured to allow loading/deserialization of data without validation

You are affected if your Langflow version is 1.6.0 through 1.8.2 and FAISS is installed and being used to deserialize untrusted vector data.

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
Upgrade available Upgrade to 1.8.3 or later
Fixed in 1.8.3
Interim mitigation

Upgrade to a patched version of IBM Langflow Desktop. If immediate patching is not feasible, review and restrict FAISS deserialization settings to reject untrusted data sources.

Recommended fix High confidence

Langflow 1.8.3 or later

  1. Back up your Langflow data and configuration before upgrading
  2. Upgrade Langflow to version 1.8.3 or later using your package manager (e.g., pip install langflow>=1.8.3)
  3. Verify the upgrade completed successfully by checking the installed version
  4. Restart the Langflow service to ensure the new version is running
  5. Confirm that FAISS component functionality is working correctly after the upgrade
Caveat Review the Langflow 1.8.3 release notes for any breaking changes between your current version and 1.8.3

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

Fix this in Langflow Scoped from the published advisory
  • Consultation4.0 h
  • Implementation4.0 h
  • Testing4.0 h
  • Review / QA2.0 h
14.0 hours of engineering $2,480
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $3,968.

Scan for this in your stack

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dbcve dependency scanner

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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-2026-3357 in production — separate from our analysis above.

No notes yet

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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
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data