CVE-2026-63520 (GCVE-0-2026-63520)
Vulnerability from cvelistv5 – Published: 2026-08-11 17:03 – Updated: 2026-09-29 20:18Title
Microsoft SharePoint Server Remote Code Execution Vulnerability
Summary
Improper input validation in Microsoft Office SharePoint allows an unauthorized attacker to execute code over a network.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-07 00:00 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Microsoft SharePoint Enterprise Server 2016 |
Affected:
16.0.0 , < 16.0.5565.1001
(custom)
|
|
| Microsoft | Microsoft SharePoint Server 2019 |
Affected:
16.0.0 , < 16.0.10417.20198
(custom)
|
|
| Microsoft | Microsoft SharePoint Server Subscription Edition |
Affected:
16.0.0 , < 16.0.19725.20522
(custom)
|
Date Public
2026-08-11 14:00
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 1312250d-c35d-4e51-84f4-444bccc70866
Exploited: Yes
Timestamps
First Seen: 2026-08-25
Asserted: 2026-08-25
Scope
Notes: Microsoft SharePoint Server Remote Code Execution Vulnerability | Affected: Microsoft / Microsoft SharePoint Enterprise Server 2016, Microsoft SharePoint Server 2019, Microsoft SharePoint Server Subscription Edition | CVSS: 8.1 (HIGH) | EPSS: 0.00956 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Microsoft SharePoint Server Remote Code Execution Vulnerability |
| Cve Id | CVE-2026-63520 |
| Vendor | Microsoft |
| Ghsa Id | GHSA-CJ4W-V2C3-7QJR |
| Product | Microsoft SharePoint Enterprise Server 2016, Microsoft SharePoint Server 2019, Microsoft SharePoint Server Subscription Edition |
| Added Date | 2026-08-25T10:53:00.000Z |
| Cvss Score | 8.1 |
| Epss Score | 0.00956 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.60006 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2026-63520 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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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.
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.
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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.
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