Microsoft Windows up to Server 2022 23H2 Hyper-V inclusion of functionality from untrusted control sphere

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.4$5k-$25k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Microsoft Windows. This impacts an unknown function of the component Hyper-V. Performing a manipulation results in inclusion of functionality from untrusted control sphere. This vulnerability is identified as CVE-2024-30092. The attack can only be performed from the local network. There is not any exploit available. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability, which was classified as critical, was found in Microsoft Windows. This affects an unknown functionality of the component Hyper-V. The manipulation with an unknown input leads to a inclusion of functionality from untrusted control sphere vulnerability. CWE is classifying the issue as CWE-829. The product imports, requires, or includes executable functionality (such as a library) from a source that is outside of the intended control sphere. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was released 10/08/2024 as confirmed security update guide (Website). It is possible to read the advisory at msrc.microsoft.com. This vulnerability is uniquely identified as CVE-2024-30092. The exploitability is told to be difficult. The attack can only be done within the local network. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 01/10/2025).

Applying a patch is able to eliminate this problem. A possible mitigation has been published immediately after the disclosure of the vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.9
VulDB Meta Temp Score: 7.4

VulDB Base Score: 8.0
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

Vendor Base Score (Microsoft): 8.0
Vendor Vector (Microsoft): 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 8.0
CNA Vector (Microsoft): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Inclusion of functionality from untrusted control sphere
CWE: CWE-829
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Partially

Availability: 🔍
Status: Unproven

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Timelineinfo

10/08/2024 🔍
10/08/2024 +0 days 🔍
10/08/2024 +0 days 🔍
01/10/2025 +94 days 🔍

Sourcesinfo

Vendor: microsoft.com
Product: microsoft.com

Advisory: msrc.microsoft.com
Status: Confirmed

CVE: CVE-2024-30092 (🔍)
GCVE (CVE): GCVE-0-2024-30092
GCVE (VulDB): GCVE-100-279651
scip Labs: https://www.scip.ch/en/?labs.20161215

Entryinfo

Created: 10/08/2024 19:41
Updated: 01/10/2025 18:24
Changes: 10/08/2024 19:41 (35), 10/08/2024 19:44 (34), 01/10/2025 18:24 (21)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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