CVE-2022-44698 (GCVE-0-2022-44698)
Vulnerability from cvelistv5 – Published: 2022-12-13 00:00 – Updated: 2026-01-12 21:17- Security Feature Bypass
- CWE-noinfo Not enough information
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.17763.0 , < 10.0.17763.3770
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.0 , < 10.0.17763.3770
(custom)
|
guessed | |
| Microsoft | Windows Server 2019 |
Affected:
10.0.17763.0 , < 10.0.17763.3770
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 21H1 |
Affected:
10.0.0 , < 10.0.19043.2364
(custom)
|
guessed | |
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.1366
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 20H2 |
Affected:
10.0.0 , < 10.0.19042.2364
(custom)
|
guessed | |
| Microsoft | Windows 11 version 21H2 |
Affected:
10.0.22000.0 , < 10.0.22000.1335
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 21H2 |
Affected:
10.0.19044.0 , < 10.0.19044.2364
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 22H2 |
Affected:
10.0.19045.0 , < 10.0.19045.2364
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1607 |
Affected:
10.0.14393.0 , < 10.0.14393.5582
(custom)
|
guessed | |
| Microsoft | Windows Server 2016 |
Affected:
10.0.14393.0 , < 10.0.14393.5582
(custom)
|
guessed |
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-755 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Defender |
| Due Date | 2023-01-03 |
| Date Added | 2022-12-13 |
| Vendorproject | Microsoft |
| Vulnerabilityname | Microsoft Defender SmartScreen Security Feature Bypass Vulnerability |
| Knownransomwarecampaignuse | Known |
References
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Windows SmartScreen Security Feature Bypass Vulnerability |
| Vendor | Microsoft |
| Product | Windows 10 Version 1809, Windows Server 2019, Windows 10 Version 21H1, Windows Server 2022, Windows 10 Version 20H2, Windows 11 version 21H2, Windows 10 Version 21H2, Windows 10 Version 22H2, Windows 10 Version 1607, Windows Server 2016 |
| Added Date | 2022-12-13T00:00:00.000Z |
| Cvss Score | 5.4 |
| Epss Score | None |
| Cvss Severity | MEDIUM |
| Epss Percentile | None |
| Used In Malware | yes |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
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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.
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.