GHSA-RGVH-4M82-FVJQ
Vulnerability from github – Published: 2025-10-27 20:12 – Updated: 2025-10-27 22:32Impact
Any plugin using the GuiStorageElement is impacted when used on a server which allows the (currently experimental) Bundle items.
Patches
Patched with https://github.com/Phoenix616/InventoryGui/commit/00e684bd689ebc60bcb5b83ce4ef3c5a01778494 ("backported" to 1.6.3-SNAPSHOT)
Update to 1.6.4-SNAPSHOT to guarantee that it's included!
Workarounds
Don't enable the experiment "Bundle" items or don't use the GuiStorageElement in GUIs.
References
Original issue: https://github.com/Phoenix616/InventoryGui/issues/51
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 1.6.3-SNAPSHOT"
},
"package": {
"ecosystem": "Maven",
"name": "de.themoep:inventorygui"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.6.4-SNAPSHOT"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-62782"
],
"database_specific": {
"cwe_ids": [
"CWE-837"
],
"github_reviewed": true,
"github_reviewed_at": "2025-10-27T20:12:50Z",
"nvd_published_at": "2025-10-27T21:15:38Z",
"severity": "MODERATE"
},
"details": "### Impact\nAny plugin using the GuiStorageElement is impacted when used on a server which allows the (currently experimental) Bundle items.\n\n### Patches\nPatched with https://github.com/Phoenix616/InventoryGui/commit/00e684bd689ebc60bcb5b83ce4ef3c5a01778494 (\"backported\" to 1.6.3-SNAPSHOT)\n\nUpdate to 1.6.4-SNAPSHOT to guarantee that it\u0027s included!\n\n### Workarounds\nDon\u0027t enable the experiment \"Bundle\" items or don\u0027t use the GuiStorageElement in GUIs.\n\n### References\nOriginal issue: https://github.com/Phoenix616/InventoryGui/issues/51",
"id": "GHSA-rgvh-4m82-fvjq",
"modified": "2025-10-27T22:32:04Z",
"published": "2025-10-27T20:12:50Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/Phoenix616/InventoryGui/security/advisories/GHSA-rgvh-4m82-fvjq"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-62782"
},
{
"type": "WEB",
"url": "https://github.com/Phoenix616/InventoryGui/issues/51"
},
{
"type": "WEB",
"url": "https://github.com/Phoenix616/InventoryGui/commit/00e684bd689ebc60bcb5b83ce4ef3c5a01778494"
},
{
"type": "PACKAGE",
"url": "https://github.com/Phoenix616/InventoryGui"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:P/VC:N/VI:H/VA:L/SC:N/SI:L/SA:L",
"type": "CVSS_V4"
}
],
"summary": "InventoryGui allows item duplication with experimental \"Bundle\" item in GUIs which use GuiStorageElement"
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.