Cross-source coverage
T1498 / ATT&CK
Network Denial of Service
35 rules across 7 sources.
From MITRE ATT&CK 19.2
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.
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).
To perform Network DoS attacks 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.
For DoS attacks targeting the hosting system directly, see Endpoint Denial of Service.
- Tactics
- Impact
- Platforms
- Windows · IaaS · Linux · macOS · Containers
- Telemetry
-
WinEventLog:Sysmonauditd:SYSCALLNSM:Flow
How MITRE says to detect it DET0518
Behavioral Detection of T1498 – Network Denial of Service Across Platforms
Windows Analytic 1434
Executable or script generating large outbound network traffic targeting remote hosts or known amplification ports
WinEventLog:SysmonEventCode=3, 22WinEventLog:SysmonEventCode=1
Linux Analytic 1435
Flooding tools like hping3 or nping sending large volumes of packets across multiple ports or IPs
auditd:SYSCALLExecution of network stress tools or anomalies in socket/syscall behaviorNSM:FlowHigh volume flows with incomplete TCP sessions or single-packet bursts
Sub-techniques with coverage
Counted in the 35 above — a rule tagged a sub-technique covers this technique too.
Wazuh Core Ruleset
16 rules+ 6 more from Wazuh Core Ruleset → showing the 10 highest-severity
splunk/security_content
7 rules| Detection | Severity | Format |
|---|---|---|
| Detect ARP Poisoning | Undefined | SPL |
| Detect IPv6 Network Infrastructure Threats | Undefined | SPL |
| Detect Port Security Violation | Undefined | SPL |
| Detect Rogue DHCP Server | Undefined | SPL |
| Detect Traffic Mirroring | Undefined | SPL |
| Large Volume of DNS ANY Queries | Undefined | SPL |
| Ollama Excessive API Requests | Undefined | SPL |
elastic/detection-rules
6 rules| Detection | Severity | Format |
|---|---|---|
| Nping Process Activity | Medium | Elastic TOML |
| Possible Okta DoS Attack | Medium | Elastic TOML |
| Potential DHCP Starvation via High Client MAC Cardinality | Medium | Elastic TOML |
| Spike in Firewall Denies | Low | Elastic TOML |
| Spike in host-based traffic | Low | Elastic TOML |
| Spike in Network Traffic | Low | Elastic TOML |
SigmaHQ/sigma
3 rules| Detection | Severity | Format |
|---|---|---|
| OpenCanary - NTP Monlist Request | High | Sigma |
| Potential BlackByte Ransomware Activity | High | Sigma |
| Deployment Deleted From Kubernetes Cluster | Low | Sigma |
Emerging Threats Open
1 rule| Detection | Severity | Format |
|---|---|---|
| ET EXPLOIT Microsoft LDAP Referral Response Inbound (CVE-2024-49113) | High | Suricata |
chronicle/detection-rules
1 rule| Detection | Severity | Format |
|---|---|---|
| aws_guardduty_denial_of_service_activity_detected | High | YARA-L |
panther-labs/panther-analysis
1 rule| Detection | Severity | Format |
|---|---|---|
| Okta Rate Limits | Low | Panther Python |