GHSA-VJFM-R2X9-3672
Vulnerability from github – Published: 2024-11-19 21:31 – Updated: 2024-11-19 21:31
VLAI?
Details
File Upload vulnerability in Xi'an Daxi Information technology OfficeWeb365 v.8.6.1.0 and v7.18.23.0 allows a remote attacker to execute arbitrary code via the pw/savedraw component.
{
"affected": [],
"aliases": [
"CVE-2024-48694"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-11-19T19:15:08Z",
"severity": null
},
"details": "File Upload vulnerability in Xi\u0027an Daxi Information technology OfficeWeb365 v.8.6.1.0 and v7.18.23.0 allows a remote attacker to execute arbitrary code via the pw/savedraw component.",
"id": "GHSA-vjfm-r2x9-3672",
"modified": "2024-11-19T21:31:32Z",
"published": "2024-11-19T21:31:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-48694"
},
{
"type": "WEB",
"url": "https://avd.aliyun.com/detail?id=AVD-2023-1678930"
},
{
"type": "WEB",
"url": "https://github.com/PeiQi0/PeiQi-WIKI-Book/blob/32024c5dbb7ff60fa7347cccf6ebb3763a513e7a/docs/wiki/webapp/OfficeWeb365/OfficeWeb365%20SaveDraw%20%E4%BB%BB%E6%84%8F%E6%96%87%E4%BB%B6%E4%B8%8A%E4%BC%A0%E6%BC%8F%E6%B4%9E.md?plain=1#L24"
},
{
"type": "WEB",
"url": "https://github.com/Threekiii/Vulnerability-Wiki/blob/master/docs-base/docs/webapp/OfficeWeb365-SaveDraw-%E4%BB%BB%E6%84%8F%E6%96%87%E4%BB%B6%E4%B8%8A%E4%BC%A0%E6%BC%8F%E6%B4%9E.md"
},
{
"type": "WEB",
"url": "https://github.com/luck-ying/Library-POC/blob/master/2023HW/2023.8.15/OfficeWeb365_SaveDraw%E4%BB%BB%E6%84%8F%E6%96%87%E4%BB%B6%E4%B8%8A%E4%BC%A0%E6%BC%8F%E6%B4%9E.py"
},
{
"type": "WEB",
"url": "https://github.com/xuetang1125/OfficeWeb365/blob/main/OfficeWeb365%20SaveDraw%20%E4%BB%BB%E6%84%8F%E6%96%87%E4%BB%B6%E4%B8%8A%E4%BC%A0%E6%BC%8F%E6%B4%9E%20%282%29.md"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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.
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