Airflow DiagramsApplication · Feluelle

CVE-2024-28423

CRITICAL · 9.8 CVSS v3.1 Published 2024-03-14
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
100/100
Remediation priority · Urgent
Remotely reachable No privileges 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
Airflow-Diagrams v2.1.0 was discovered to contain an arbitrary file upload vulnerability in the unsafe_load function at cli.py. This vulnerability allows attackers to execute arbitrary code via uploading a crafted YML file.

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

Airflow-Diagrams v2.1.0 contains an arbitrary code execution vulnerability in cli.py where the unsafe_load function processes uploaded YAML files without sanitization. Attackers can exploit this by uploading a crafted YML file containing malicious YAML constructs that trigger arbitrary code execution during the deserialization process.

MitigationReplace unsafe_load with PyYAML's safe_load or a restricted YAML parser, implement file upload validation to reject malicious YAML content, and consider sandboxing the YAML parsing operation.

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
Airflow DiagramsApplication
Affected:= 2.1.0

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

CVSS:3.1/AV:N/AC:L/PR:N/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. Identify if Airflow-Diagrams is installed
    Run 'pip show airflow-diagrams' or check your Python environment for the airflow-diagrams package
    Affected if The package is installed and version equals 2.1.0 exactly (or if version cannot be determined but the package is present)
  2. Locate the cli.py file in the Airflow-Diagrams package
    Find the cli.py file within the installed airflow-diagrams package directory (typically in site-packages/airflow_diagrams/)
    Affected if The cli.py file exists and is part of the installation
  3. Inspect cli.py for unsafe_load usage with YAML processing
    Open cli.py and search for 'unsafe_load' function calls used to parse YAML content, particularly in file upload handling code
    Affected if cli.py contains unsafe_load (not safe_load) being used to deserialize YAML from uploaded files
  4. Verify the file upload endpoint exists and accepts YAML files
    Check if there is an API endpoint or function in cli.py that accepts file uploads and passes them to yaml.unsafe_load for processing
    Affected if A file upload/upload endpoint exists that processes YAML files through unsafe_load

You are affected if Airflow-Diagrams version 2.1.0 is installed AND cli.py uses unsafe_load to process uploaded YAML files without validation.

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.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Replace unsafe_load with PyYAML's safe_load or a restricted YAML parser, implement file upload validation to reject malicious YAML content, and consider sandboxing the YAML parsing operation.

Fix this in Airflow Diagrams Scoped from the published advisory
  • Consultation3.0 h
  • Implementation4.0 h
  • Testing4.0 h
  • Review / QA2.0 h
13.0 hours of engineering $2,280
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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-2024-28423 in production — separate from our analysis above.

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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
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