Techniques › T1498
T1498 Network Denial of Service
impact — Windows, IaaS, Linux, macOS, Containers · attack.mitre.org · JSON
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MITRE detection strategy
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analytics
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Sigma rules tagged attack.t1498
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KEV CVEs mapped here
<p>Adversaries may perform Network Denial of Service (DoS) attacks to degrade or block the availability of targeted resources to users. Network DoS can be performed by exhausting the network bandwidth services rely on. Example resources include specific websites, email services, DNS, and web-based applications. Adversaries have been observed conducting network DoS attacks for political purposes and to support other malicious activities, including distraction, hacktivism, and extortion.</p><p>A Network DoS will occur when the bandwidth capacity of the network connection to a system is exhausted due to the volume of malicious traffic directed at the resource or the network connections and network devices the resource relies on. For example, an adversary may send 10Gbps of traffic to a server that is hosted by a network with a 1Gbps connection to the internet. This traffic can be generated by a single system or multiple systems spread across the internet, which is commonly referred to as a distributed DoS (DDoS).</p><p>To perform Network DoS attacks several aspects apply to multiple methods, including IP address spoofing, and botnets.</p><p>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.</p><p>For DoS attacks targeting the hosting system directly, see Endpoint Denial of Service.</p>
KEV CVEs mapped to this technique · CTID Mappings Explorer
| CVE | Vendor / product | Mapping type | State | Added |
|---|---|---|---|---|
| CVE-2025-6543 | Citrix NetScaler ADC and Gateway | primary impact | Mapped | 2025-06-30 |
| CVE-2024-11120 | GeoVision Multiple Devices | primary impact | Mapped | 2025-05-07 |
| CVE-2023-49897 | FXC AE1021, AE1021PE | secondary impact | Mapped | 2023-12-21 |
| CVE-2023-47565 | QNAP VioStor NVR | secondary impact | Mapped | 2023-12-21 |
| CVE-2023-1389 | TP-Link Archer AX21 | secondary impact | Mapped | 2023-05-01 |
| CVE-2022-0028 | Palo Alto Networks PAN-OS | primary impact | Mapped | 2022-08-22 |
| CVE-2021-22205 | GitLab Community and Enterprise Editions | primary impact secondary impact | Mapped | 2021-11-03 |
| CVE-2019-0708 | Microsoft Remote Desktop Services | secondary impact | Mapped | 2021-11-03 |
Detection strategy · ATT&CK Enterprise v19.2
- DET0518 Behavioral Detection of T1498 – Network Denial of Service Across Platforms v1.0
AN1434 WindowsExecutable or script generating large outbound network traffic targeting remote hosts or known amplification portsTunable:
ThresholdEventVolumeDestinationDiversityAN1435 LinuxFlooding tools like hping3 or nping sending large volumes of packets across multiple ports or IPsauditd:SYSCALLExecution of network stress tools or anomalies in socket/syscall behavior→ DC0032 Process CreationNSM:FlowHigh volume flows with incomplete TCP sessions or single-packet bursts→ DC0078 Network Traffic FlowTunable:PacketRateThreshold
Sigma rules · SigmaHQ da9bb07d64, tag attack.t1498
Author: Leo Tsaousis (@laripping)
· 2024-03-26 · logsource: product=kubernetes category=application service=audit · 40967487-139b-4811-81d9-c9767a92aa5a
Detects the removal of a deployment from a Kubernetes cluster.
This could indicate disruptive activity aiming to impact business operations.
Author: Security Onion Solutions
· 2024-03-08 · logsource: product=opencanary category=application · 7cded4b3-f09e-405a-b96f-24248433ba44
Detects instances where an NTP service on an OpenCanary node has had a NTP monlist request.
Author: Florian Roth (Nextron Systems)
· 2022-02-25 (modified 2023-02-08) · logsource: product=windows category=process_creation · 999e8307-a775-4d5f-addc-4855632335be
Detects command line patterns used by BlackByte ransomware in different operations