Deserialization of Untrusted DataWeakness · CWE-502

CVE-2024-48206

CRITICAL · 9.8 CVSS v3.1 Published 2024-10-29
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
A Deserialization of Untrusted Data vulnerability in chainer v7.8.1.post1 leads to execution of arbitrary code.

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 · moderate confidence

A deserialization vulnerability in Chainer v7.8.1.post1 allows attackers to execute arbitrary code by supplying malicious serialized data. This is likely due to unsafe deserialization of untrusted input (commonly via pickle, yaml, or similar mechanisms in Python), which can instantiate arbitrary objects leading to RCE.

MitigationUpgrade to a patched version of chainer if available; otherwise, avoid deserializing data from untrusted sources and implement allowlist-based validation for any deserialization operations.

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
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. Check if Chainer is installed
    Run 'pip show chainer' or 'pip list | grep chainer' to see if Chainer is present in the Python environment
    Affected if Chainer is installed and the version is 7.8.1.post1
  2. Confirm the exact Chainer version
    Look at the version field from the pip show output - verify it shows exactly 7.8.1.post1
    Affected if Version displayed is 7.8.1.post1 (no other versions listed as installed)
  3. Identify deserialization usage in code
    Search Python codebases for uses of pickle.load, yaml.load, or Chainer serialization functions that accept external input (such as serializers.load from chainer), particularly where data originates from user input, HTTP requests, files from untrusted sources, or network sources
    Affected if Code deserializes data from untrusted sources using pickle, yaml, or similar Python deserialization mechanisms in conjunction with Chainer
  4. Audit data flow to deserialization
    Trace the data path from where untrusted input enters the application (user uploads, API endpoints, external files) to any pickle/yaml/serializer calls - verify if there is any validation or allowlisting performed before deserialization
    Affected if Untrusted data flows directly to deserialization without sanitization or allowlist validation

A user is affected if they have Chainer v7.8.1.post1 installed AND their application deserializes data from untrusted sources using pickle, yaml, or similar Python deserialization mechanisms.

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

Upgrade to a patched version of chainer if available; otherwise, avoid deserializing data from untrusted sources and implement allowlist-based validation for any deserialization operations.

Have this fixed Scoped from the published advisory
  • Consultation4.0 h
  • Implementation8.0 h
  • Testing4.0 h
  • Review / QA2.0 h
18.0 hours of engineering $3,200
Get help mitigating

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $5,120.

Scan for this in your stack

Free · runs locally
dbcve dependency scanner

Check whether your project pulls in CVE-2024-48206 — 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 sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2024-48206 in production — separate from our analysis above.

No notes yet

Be the first to add a field note for this CVE — a mitigation you’ve verified, a version caveat, or a link to a working fix. Sign in above to contribute.

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