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T1499Enterprise
Matrix: Enterprise
Status: Active
STIX: 19.0
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Endpoint Denial of Service

Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users. Endpoint DoS can be performed by exhausting the system resources those services are hosted on or exploiting the system to cause a persistent crash condition. Example services include websites, email services, DNS, and web-based applications. Adversaries have been observed conducting DoS attacks for political purposes and to support other malicious activities, including distraction, hacktivism, and extortion. An Endpoint DoS denies the availability of a service without saturating the network used to provide access to the service. Adversaries can target various layers of the application stack that is hosted on the system used to provide the service. These layers include the Operating Systems (OS), server applications such as web servers, DNS servers, databases, and the (typically web-based) applications that sit on top of them. Attacking each layer requires different techniques that take advantage of bottlenecks that are unique to the respective components. A DoS attack may be generated by a single system or multiple systems spread across the internet, which is commonly referred to as a distributed DoS (DDoS). To perform DoS attacks against endpoint resources, several aspects apply to multiple methods, including IP address spoofing and botnets. Adversaries may use the original IP address of an attacking system, or spoof the source IP address to make the attack traffic more difficult to trace back to the attacking system or to enable reflection. This can increase the difficulty defenders have in defending against the attack by reducing or eliminating the effectiveness of filtering by the source address on network defense devices. Botnets are commonly used to conduct DDoS attacks against networks and services. Large botnets can generate a significant amount of traffic from systems spread across the global internet. Adversaries may have the resources to build out and control their own botnet infrastructure or may rent time on an existing botnet to conduct an attack. In some of the worst cases for DDoS, so many systems are used to generate requests that each one only needs to send out a small amount of traffic to produce enough volume to exhaust the target's resources. In such circumstances, distinguishing DDoS traffic from legitimate clients becomes exceedingly difficult. Botnets have been used in some of the most high-profile DDoS attacks, such as the 2012 series of incidents that targeted major US banks. In cases where traffic manipulation is used, there may be points in the global network (such as high traffic gateway routers) where packets can be altered and cause legitimate clients to execute code that directs network packets toward a target in high volume. This type of capability was previously used for the purposes of web censorship where client HTTP traffic was modified to include a reference to JavaScript that generated the DDoS code to overwhelm target web servers. For attacks attempting to saturate the providing network, see Network Denial of Service.

Tactics

Impact

Platforms

WindowsLinuxmacOSContainersIaaS
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Affected vulnerabilities (Inferred)

CVE-2026-22239The vulnerability exists in BLUVOYIX due to design flaws in the email sending API. An unauthenticated remote attacker could exploit this vulnerability by sending specially crafted HTTP requests to the vulnerable email sending API. Successful exploitation of this vulnerability could allow the attacker to send unsolicited emails to anyone on behalf of the company.
CVE-2025-11832Allocation of Resources Without Limits or Throttling vulnerability in Azure Access Technology BLU-IC2, Azure Access Technology BLU-IC4 allows Flooding.This issue affects BLU-IC2: through 1.19.5; BLU-IC4: through 1.19.5.
CVE-2026-46775Vulnerability in Oracle REST Data Services (component: Core). Supported versions that are affected are 24.2.0-26.1.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTPS to compromise Oracle REST Data Services. While the vulnerability is in Oracle REST Data Services, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle REST Data Services. CVSS 3.1 Base Score 9.9 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H).
CVE-2026-31283In Totara LMS v19.1.5 and before, the forgot password API does not implement rate limiting for the target email address. which can be used for an Email Bombing attack. NOTE: the Supplier's position is that the pwresettime configuration defaults to 30 minutes, the pwresettime configuration is a hard control enforced via flag PWRESET_STATUS_ALREADYSENT, and no further password-reset email messages are sent if this flag is active for a specific email address.
CVE-2025-61303Hatching Triage Sandbox Windows 10 build 2004 (2025-08-14) and Windows 10 LTSC 2021(2025-08-14) contains a vulnerability in its Windows behavioral analysis engine that allows a submitted malware sample to evade detection and cause denial-of-analysis. The vulnerability is triggered when a sample recursively spawns a large number of child processes, generating high log volume and exhausting system resources. As a result, key malicious behavior, including PowerShell execution and reverse shell activity, may not be recorded or reported, misleading analysts and compromising the integrity and availability of sandboxed analysis results.
CVE-2025-43193The issue was addressed with improved memory handling. This issue is fixed in macOS Sequoia 15.6, macOS Sonoma 14.7.7, macOS Ventura 13.7.7. An app may be able to cause a denial-of-service.
CVE-2025-24269The issue was addressed with improved memory handling. This issue is fixed in macOS Sequoia 15.4. An app may be able to cause unexpected system termination.
CVE-2025-24264The issue was addressed with improved memory handling. This issue is fixed in visionOS 2.4, tvOS 18.4, iPadOS 17.7.6, iOS 18.4 and iPadOS 18.4, macOS Sequoia 15.4, Safari 18.4. Processing maliciously crafted web content may lead to an unexpected Safari crash.
CVE-2025-24260The issue was addressed with improved memory handling. This issue is fixed in macOS Ventura 13.7.5, macOS Sequoia 15.4, macOS Sonoma 14.7.5. An attacker in a privileged position may be able to perform a denial-of-service.
CVE-2025-24247A type confusion issue was addressed with improved checks. This issue is fixed in macOS Ventura 13.7.5, macOS Sequoia 15.4, macOS Sonoma 14.7.5. An attacker may be able to cause unexpected app termination.
CVE-2025-24211This issue was addressed with improved memory handling. This issue is fixed in visionOS 2.4, macOS Ventura 13.7.5, tvOS 18.4, iPadOS 17.7.6, iOS 18.4 and iPadOS 18.4, macOS Sequoia 15.4, macOS Sonoma 14.7.5. Processing a maliciously crafted video file may lead to unexpected app termination or corrupt process memory.
CVE-2025-24190The issue was addressed with improved memory handling. This issue is fixed in visionOS 2.4, macOS Ventura 13.7.5, tvOS 18.4, iPadOS 17.7.6, iOS 18.4 and iPadOS 18.4, macOS Sequoia 15.4, macOS Sonoma 14.7.5. Processing a maliciously crafted video file may lead to unexpected app termination or corrupt process memory.
CVE-2024-45166An issue was discovered in UCI IDOL 2 (aka uciIDOL or IDOL2) through 2.12. Due to improper input validation, improper deserialization, and improper restriction of operations within the bounds of a memory buffer, IDOL2 is vulnerable to Denial-of-Service (DoS) attacks and possibly remote code execution. There is an access violation and EIP overwrite after five logins.
CVE-2024-44241The issue was addressed with improved bounds checks. This issue is fixed in iOS 18.1 and iPadOS 18.1. An attacker may be able to cause unexpected system termination or arbitrary code execution in DCP firmware.
CVE-2024-36543Incorrect access control in the Kafka Connect REST API in the STRIMZI Project 0.41.0 and earlier allows an attacker to deny the service for Kafka Mirroring, potentially mirror the topics' content to his Kafka cluster via a malicious connector (bypassing Kafka ACL if it exists), and potentially steal Kafka SASL credentials, by querying the MirrorMaker Kafka REST API.
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