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GHSA-4w8f-hjm9-xwgf django-s3file

CRITICALFix: codingjoe/django-s3file@68ccd2c

GHSA-4w8f-hjm9-xwgf is a critical-severity (CVSS 9.1) Path Traversal vulnerability in django-s3file. 1 public exploit reference exists, so weaponization risk is real. A fix is available for django-s3file — see the affected versions and patch details below.

Path Traversal in django-s3file

Also known asCVE-2022-24840PYSEC-2022-208
Published
Jun 6, 2022
Updated
Feb 17, 2025
Affected
1 pkg
Patched
1 / 1
Exploits
1 known
Exploitation data as of Sep 19, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for GHSA-4w8f-hjm9-xwgf.

EPSS Exploitation Probability

via FIRST.org ↗
2.0%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs80th percentile — riskier than 80% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-4w8f-hjm9-xwgf plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 377,166 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍django-s3file

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Impact

It was possible to traverse the entire AWS S3 bucket and in most cases to access or delete files. The issue was discovered by the maintainer. There were no reports of the vulnerability being known to or exploited by a third party, before the release of the patch.

If the AWS_LOCATION setting was set, traversal was limited to that location only. If all your files handling views (like form views) require authentication or special permission, the thread is limited to privileged users.

Patches

The vulnerability has been fixed in version 5.5.1 and above.

Workarounds

There is no feasible workaround. We must urge all users to immediately updated to a patched version.

Detailed attack vector description

An attacker may use a request with malicious form data to traverse the entire AWS S3 bucket and perform destructive operations.

An attack could look as follows:

curl -X POST -F "s3file=file" -F "file=/priviliged/location/secrets.txt" https://www.example.com/any/path/will/work/

This will result in a request with files set and opened:

>>> request.FILES.getlist("file")
[File("/priviliged/location/secrets.txt")]

Since this behavior is injected via a middleware, any view can be called this way and will carry any files defined by the attacker.

Via the s3file form field, any input name can be specified, including multiple inputs. For each input, multiple files can be freely picked of the S3 bucket.

Scenarios and their practicality

There are four scenarios that would be considered practical in most setups:

  1. Illegal file injection,
  2. file deletion,
  3. file retrieval & tree traversal.
  4. code injection & remote code execution.
File deletion

An attacker knows the location of a privileged file, like a static asset. Next, the file is injected into a form view. The upload to function will move the file to a new location. This is effectively deleting the file, since the previous references to it are invalid, and will cause S3 to return a 404. Furthermore, the new location is unknown to the site operator.

File retrieval & tree traversal

An attacker knows the URL of a secret file and injects it into a form view. The view will move the file to a public location, making it accessible to the attacker. Since most form views will not be rate limited, this could also be used to guess files and traverse the file tree.

Illegal file injection

An attacker uses any form to upload a file to the temporary upload location. Next, the attacker injects that file into a request, does not validate the contents or is not equipped to handle the mime type. The latter could be used as a potential DOS vector.

In practice, this is not a practical risk in most hardened setup. Files should always be sanitized before processing, since files can be included in a request even without this security issues.

For more information

If you have any questions or comments about this advisory:

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIdjango-s3fileall versions5.5.1pip install --upgrade 'django-s3file==5.5.1'
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for django-s3file, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update django-s3file to 5.5.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-4w8f-hjm9-xwgf is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-4w8f-hjm9-xwgf can be triaged on real exposure rather than presence alone.

Tailored to GHSA-4w8f-hjm9-xwgf. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact It was possible to traverse the entire AWS S3 bucket and in most cases to access or delete files. The issue was discovered by the maintainer. There were no reports of the vulnerability being known to or exploited by a third party, before the release of the patch. If the `AWS_LOCATION` setting was set, traversal was limited to that location only. If all your files handling views (like form views) require authentication or special permission, the thread is limited to privileged users. ### Patches The vulnerability has been fixed in version 5.5.1 and above. ### Workarounds There
O3 Security · Impact-Aware SCA

Is GHSA-4w8f-hjm9-xwgf in your dependencies?

O3 Security finds GHSA-4w8f-hjm9-xwgf across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-4w8f-hjm9-xwgf: RCE (Critical 9.1) | O3 Security