GHSA-85Q9-7467-R53Q
Vulnerability from github – Published: 2022-06-17 21:51 – Updated: 2026-04-24 19:49
VLAI
Summary
XSS Vulnerability in Markdown Editor
Details
Impact
InvenTree uses EasyMDE for displaying markdown text in various places (e.g. for the various "notes" fields associated with various models).
By default, EasyMDE does not sanitize input data, and it is possible for malicious code to be injected into the markdown editor, and executed in the users browser.
Note: This malicious data must be first uploaded to the database by an authorized user, so the risk here is limited to trusted users
Solution
The solution here is two-fold:
- Enable data sanitization for the EasyMDE renderer - #3205
- Enforce cleaning of all data uploaded to the database via the API - #3204 (This will be ready for the 0.8.0 release)
Patches
- The issue is addressed in the 0.8.0 release
- This fix was back-ported to the 0.7.x branch, applied to the 0.7.3 release
Workarounds
There is no workaround for this issue without upgrading InvenTree to the specified version.
References
- https://huntr.dev/bounties/ab296cf5-7a3e-4f49-8f63-5b35fc707f03/
For more information
If you have any questions or comments about this advisory:
- Open an issue in github
- Email us at security@inventree.org
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "inventree"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.7.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2022-06-17T21:51:45Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "### Impact\n\nInvenTree uses [EasyMDE](https://github.com/Ionaru/easy-markdown-editor) for displaying markdown text in various places (e.g. for the various \"notes\" fields associated with various models).\n\nBy default, EasyMDE does not sanitize input data, and it is possible for malicious code to be injected into the markdown editor, and executed in the users browser.\n\n*Note: This malicious data must be first uploaded to the database by an authorized user, so the risk here is limited to trusted users*\n\n### Solution\n\nThe solution here is two-fold:\n\n- Enable data sanitization for the EasyMDE renderer - [#3205](https://github.com/inventree/InvenTree/pull/3205)\n- Enforce cleaning of all data uploaded to the database via the API - [#3204](https://github.com/inventree/InvenTree/pull/3204) *(This will be ready for the 0.8.0 release)*\n\n### Patches\n\n- The issue is addressed in the 0.8.0 release\n- This fix was back-ported to the 0.7.x branch, applied to the 0.7.3 release\n\n### Workarounds\n\nThere is no workaround for this issue without upgrading InvenTree to the specified version.\n\n### References\n\n- https://huntr.dev/bounties/ab296cf5-7a3e-4f49-8f63-5b35fc707f03/\n\n### For more information\n\nIf you have any questions or comments about this advisory:\n\n* Open an issue in [github](http://github.com/inventree/inventree)\n* Email us at [security@inventree.org](mailto:security@inventree.org)",
"id": "GHSA-85q9-7467-r53q",
"modified": "2026-04-24T19:49:10Z",
"published": "2022-06-17T21:51:45Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/inventree/InvenTree/security/advisories/GHSA-85q9-7467-r53q"
}
],
"schema_version": "1.4.0",
"severity": [],
"summary": "XSS Vulnerability in Markdown Editor"
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Loading…
Loading…