GHSA-88WV-C32X-W3H7
Vulnerability from github – Published: 2022-05-24 17:18 – Updated: 2026-08-19 18:31
VLAI
Details
An information disclosure vulnerability exists where certain modes of the search function in Microsoft SharePoint Server are vulnerable to cross-site search attacks (a variant of cross-site request forgery, CSRF).When users are simultaneously logged in to Microsoft SharePoint Server and visit a malicious web page, the attacker can, through standard browser functionality, induce the browser to invoke search queries as the logged in user, aka 'Microsoft SharePoint Information Disclosure Vulnerability'.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2020-1103"
],
"database_specific": {
"cwe_ids": [
"CWE-200",
"CWE-352"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-05-21T23:15:00Z",
"severity": "MODERATE"
},
"details": "An information disclosure vulnerability exists where certain modes of the search function in Microsoft SharePoint Server are vulnerable to cross-site search attacks (a variant of cross-site request forgery, CSRF).When users are simultaneously logged in to Microsoft SharePoint Server and visit a malicious web page, the attacker can, through standard browser functionality, induce the browser to invoke search queries as the logged in user, aka \u0027Microsoft SharePoint Information Disclosure Vulnerability\u0027.",
"id": "GHSA-88wv-c32x-w3h7",
"modified": "2026-08-19T18:31:20Z",
"published": "2022-05-24T17:18:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-1103"
},
{
"type": "WEB",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2020-1103"
},
{
"type": "WEB",
"url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2020-1103"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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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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.
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