GHSA-QV77-X67J-JF7M
Vulnerability from github – Published: 2026-10-13 18:30 – Updated: 2026-10-13 18:30
VLAI
Details
RuoYi-Vue-Plus through 6.0.0 contains an insecure direct object reference vulnerability that allows authenticated users to delete other users' social login bindings by supplying their socialId. Attackers can send DELETE /auth/unlock/{socialId} requests with a victim's binding id to remove their GitHub, WeChat, or Gitee binding and stored OAuth tokens, blocking social login.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-110106"
],
"database_specific": {
"cwe_ids": [
"CWE-639"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-10-13T17:17:34Z",
"severity": "LOW"
},
"details": "RuoYi-Vue-Plus through 6.0.0 contains an insecure direct object reference vulnerability that allows authenticated users to delete other users\u0027 social login bindings by supplying their socialId. Attackers can send DELETE /auth/unlock/{socialId} requests with a victim\u0027s binding id to remove their GitHub, WeChat, or Gitee binding and stored OAuth tokens, blocking social login.",
"id": "GHSA-qv77-x67j-jf7m",
"modified": "2026-10-13T18:30:54Z",
"published": "2026-10-13T18:30:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-110106"
},
{
"type": "WEB",
"url": "https://github.com/dromara/RuoYi-Vue-Plus"
},
{
"type": "WEB",
"url": "https://github.com/dromara/RuoYi-Vue-Plus/blob/7180b529776834fee912113b23f0bd7a387a8222/ruoyi-admin/src/main/java/org/dromara/web/controller/AuthController.java#L156-L162"
},
{
"type": "WEB",
"url": "https://github.com/dromara/RuoYi-Vue-Plus/blob/7180b529776834fee912113b23f0bd7a387a8222/ruoyi-modules/ruoyi-system/src/main/java/org/dromara/system/service/impl/SysSocialServiceImpl.java#L116-L118"
},
{
"type": "WEB",
"url": "https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/ruoyi-vue-plus-social-unbind-idor"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/ruoyi-vue-plus-through-6.0.0-idor-via-delete-auth-unlock-socialid"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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…
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Loading…
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.
Loading…