Cyber Resilience

CVE-2023-36606

DoS in Microsoft Windows 11 21H2 ≤ 10.0.22000.2538

High EPSSDoS
Published
10 October 2023
Modified
12 December 2024
Patch / advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.67 99.2th percentile
Risk Priority 82 floored blend · peak EPSS

Summary

CVE-2023-36606 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Microsoft Windows 11 21H2. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked in the top 0.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

Microsoft Message Queuing (MSMQ) is affected by a denial-of-service vulnerability tracked as CVE-2023-36606. The flaw is rated 7.5 under CVSS 3.1 with a vector of AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H and is associated with CWE-400, indicating uncontrolled resource consumption that can be triggered over the network.

An unauthenticated remote attacker can send specially crafted messages to an exposed MSMQ service, causing the component to consume excessive resources and become unavailable without any user interaction or credentials required. Successful exploitation results in high impact to availability while leaving confidentiality and integrity unaffected.

Microsoft has published an advisory for CVE-2023-36606 that directs administrators to the corresponding security update for affected Windows versions. The EPSS score for this CVE stands at 0.4976 with no material increase from an earlier lower value.

EU & UK References

Vulnerability Data

Microsoft Message Queuing (MSMQ) Denial of Service Vulnerability

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1499.001 OS Exhaustion Flood Impact
Adversaries may launch a denial of service (DoS) attack targeting an endpoint's operating system (OS).
T1498 Network Denial of Service Impact
Adversaries may perform Network Denial of Service (DoS) attacks to degrade or block the availability of targeted resources to users.
T1499 Endpoint Denial of Service Impact
Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users.
T1499.002 Service Exhaustion Flood Impact
Adversaries may target the different network services provided by systems to conduct a denial of service (DoS).
T1499.003 Application Exhaustion Flood Impact
Adversaries may target resource intensive features of applications to cause a denial of service (DoS), denying availability to those applications.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-36431Same product: Microsoft Windows 10 1607
CVE-2023-36579Same product: Microsoft Windows 10 1607
CVE-2023-38149Same product: Microsoft Windows 10 1607
CVE-2023-28217Same product: Microsoft Windows 10 1607
CVE-2023-35329Same product: Microsoft Windows 10 1607
CVE-2024-38027Same product: Microsoft Windows 10 1607
CVE-2024-35270Same product: Microsoft Windows 10 1607
CVE-2024-38068Same product: Microsoft Windows 10 1607
CVE-2023-29331Same product: Microsoft Windows 10 1607
CVE-2023-35339Same product: Microsoft Windows 10 1607

Affected Assets

microsoft
windows 10
≤ 10.0.10240.20232
microsoft
windows 10 1607
≤ 10.0.14393.6351
microsoft
windows 10 1809
≤ 10.0.17763.4974
microsoft
windows 10 21h2
≤ 10.0.19041.3570
microsoft
windows 10 22h2
≤ 10.0.19045.3570
microsoft
windows 11 21h2
≤ 10.0.22000.2538 · ≤ 10.0.22000.2538
microsoft
windows 11 22h2
≤ 10.0.22621.2428 · ≤ 10.0.22621.2428
microsoft
windows server 2008
all versions, r2
microsoft
windows server 2012
all versions, r2
microsoft
windows server 2016
all versions
+2 more product configuration(s) — see NVD for full list

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-400

Limiting concurrent sessions directly prevents uncontrolled resource consumption by capping the number of active sessions per user or account.

addresses: CWE-400

Analysis identifies uncontrolled resource consumption indicative of denial-of-service or abuse attempts.

addresses: CWE-400

Contingency plan testing includes resource exhaustion scenarios to verify recovery, making it harder for attackers to sustain exploits that cause uncontrolled consumption.

addresses: CWE-400

Updated contingency plans include current procedures to detect, contain, and recover from resource exhaustion, limiting an attacker's ability to sustain impact from uncontrolled consumption.

addresses: CWE-400

Alternate site allows resumption of operations if resource exhaustion at the primary site is exploited to cause unavailability.

addresses: CWE-400

Alternate telecommunications services enable resumption of essential functions when primary services become unavailable due to uncontrolled resource consumption.

addresses: CWE-400

The team can analyze and respond to resource exhaustion incidents, reducing the impact of attacks that exploit uncontrolled consumption weaknesses.

addresses: CWE-400

Timely maintenance support and spare parts enable rapid recovery from failures induced by uncontrolled resource consumption, shortening the impact window of denial-of-service attacks.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.IR-04 mostly match
prevents

Explicitly requires monitoring and maintaining resource capacity, directly addressing uncontrolled consumption to preserve availability.

DE.CM-09 partial match
prevents

Continuous monitoring of computing resources can detect resource exhaustion but does not itself enforce allocation limits.

PR.IR-03 partial match
prevents

Resilience mechanisms such as avoiding single points of failure indirectly reduce impact of resource exhaustion.

PR.PS-01 partial match
prevents

Hardened configuration baselines can include resource quotas and limits that constrain consumption.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Resource-utilization monitoring and alerting on bottlenecks or overloads limits the impact of denial-of-service or resource-exhaustion attacks.

prevents

By continuously monitoring utilization, stress-testing peak loads, and maintaining documented plans to scale or throttle resources, the control directly limits an attacker’s ability to drive a system into uncontrolled resource exhaustion.

finds

Pre-agreed severity-based prioritization and resource allocation during incident triage reduce the likelihood that an attacker-induced resource exhaustion will overwhelm the organization before corrective action is taken.

mitigates

Business-continuity plans that include resource-management controls reduce the likelihood that an attacker can trigger uncontrolled resource consumption by forcing the system into a degraded or fallback state.

mitigates

Defining RTOs and capacity requirements for ICT services during business-impact analysis forces organizations to provision sufficient resources and throttling mechanisms, reducing the likelihood that an attacker can induce denial-of-service through uncontrolled resource consumption.

finds

Early notification of anomalous resource consumption or system malfunctions enables throttling or isolation before availability is lost.

References