CVE-2026-7700
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 · uneditedA weakness has been identified in langflow-ai langflow up to 1.8.4. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.p of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.
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 confidenceCode injection vulnerability in langflow's LambdaFilterComponent where the eval() function in lambda_filter.p processes user-supplied input without proper sanitization, allowing remote attackers to execute arbitrary Python code on the server.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
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
- Low
- Integrity
- Low
- Availability
- Low
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
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 checksWork through these to decide whether this CVE applies to you.
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Check if Langflow is installedRun 'pip show langflow' or check for langflow package in your Python environmentAffected if Langflow package is present in the environment
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Identify Langflow versionRun 'pip show langflow' and note the Version field, or check requirements/package metadataAffected if Any version of langflow is installed (no version range specified for patch)
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Locate LambdaFilterComponentSearch for lambda_filter.py in the Langflow installation directory, typically in the components or filters subdirectory of the langflow packageAffected if The LambdaFilterComponent file exists in the installation
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Verify eval() usage in lambda_filter.pyOpen lambda_filter.py and search for 'eval(' function calls that process user-supplied input without sanitizationAffected if The code contains eval() processing user input directly
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Check if LambdaFilterComponent is accessibleReview Langflow's component registry or API endpoints to determine if LambdaFilterComponent is exposed and usableAffected if LambdaFilterComponent is enabled and accessible for user interactions
If Langflow is installed and the LambdaFilterComponent with its vulnerable eval() implementation is present and accessible, the environment is affected by this code injection vulnerability.
Generated from the published advisory. Verify against your own configuration.
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.
From vendor dataNetwork-level access controls should be applied to limit exposure; evaluate temporarily disabling or restricting the LambdaFilterComponent until vendor provides a patch; implement input validation/sanitization as a compensating control if the component must remain active.
- Consultation3.0 h
- Implementation6.0 h
- Testing3.0 h
- Review / QA2.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2026-7700 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-7700 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- 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
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