GreykiteApplication · Linkedin

CVE-2024-28425

HIGH · 7.5 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 →
82/100
Remediation priority · High
Remotely reachable No privileges

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
greykite v1.0.0 was discovered to contain an arbitrary file upload vulnerability in the load_obj function at /templates/pickle_utils.py. This vulnerability allows attackers to execute arbitrary code via uploading a crafted 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

greykite v1.0.0 contains an arbitrary file upload vulnerability in the load_obj function within /templates/pickle_utils.py. The function appears to insecurely deserialize untrusted pickle files, allowing attackers to upload crafted files and achieve arbitrary code execution on the target system.

MitigationReplace insecure pickle deserialization with safe alternatives (e.g., JSON, msgpack) or implement strict allowlist validation on file inputs before loading. If pickle is required, use restricted unpicklers with a custom finder to prevent arbitrary code execution.

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
GreykiteApplication
Affected:= 1.0.0

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

CVSS:3.1/AV:N/AC:H/PR:N/UI:R/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 greykite installation version
    Run 'pip show greykite' or check your requirements.txt for the installed version of the greykite package
    Affected if The installed version is exactly 1.0.0 (note: only this specific version is listed as affected)
  2. Locate the vulnerable pickle_utils.py file
    Find the file templates/pickle_utils.py within the greykite package installation directory (typically in site-packages/greykite)
    Affected if The file exists and contains a function named load_obj that performs pickle.load() operations
  3. Inspect the load_obj function for insecure deserialization
    Open pickle_utils.py and examine the load_obj function implementation for unpickled data loaded from file input without validation
    Affected if The function uses pickle.load() without restricted unpicklers, custom finders, or input validation
  4. Check if your application code calls load_obj on untrusted input
    Search your codebase for calls to load_obj or greykite.templates.pickle_utils.load_obj that process files from user-uploaded sources
    Affected if Your code passes external/pickle files to load_obj without sanitization

You are affected if you have greykite v1.0.0 installed AND your application uses the load_obj function to deserialize pickle files from untrusted sources.

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 insecure pickle deserialization with safe alternatives (e.g., JSON, msgpack) or implement strict allowlist validation on file inputs before loading. If pickle is required, use restricted unpicklers with a custom finder to prevent arbitrary code execution.

Fix this in Greykite Scoped from the published advisory
  • Consultation2.0 h
  • Implementation3.0 h
  • Testing3.0 h
  • Review / QA1.0 h
9.0 hours of engineering $1,570
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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-2024-28425 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
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