Web Server Potential Command Injection Request
This rule detects potential command injection attempts via web server requests by identifying URLs that contain suspicious patterns commonly associated with command execution payloads. Attackers may exploit…
Description
This rule detects potential command injection attempts via web server requests by identifying URLs that contain suspicious patterns commonly associated with command execution payloads. Attackers may exploit vulnerabilities in web applications to inject and execute arbitrary commands on the server, often using interpreters like Python, Perl, Ruby, PHP, or shell commands. By monitoring for these indicators in web traffic, security teams can identify and respond to potential threats early.
Detection logic
Its licence does not clear it for publishing here
Sunturai publishes a detection's own text where the licence it arrived under has been reviewed and permits it, and Elastic License 2.0 has not. The query as its source wrote it, its canonical form and the hash that pins this revision are in the workspace record.
Detection requirements
- Platform
- ContainersESXiIaaSIdentity ProviderLinuxmacOSNetwork DevicesOffice SuitePRESaaSWindows
The rule states no platform. This is derived from the 9 ATT&CK techniques it maps to.
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
No references are available for this detection.
From the source
- At source
- Open at source
- Upstream identifier
- f3ac6734-7e52-4a0d-90b7-6847bf4308f2
- Tagged by the source as
- Data Source: ApacheData Source: Apache TomcatData Source: IISData Source: NginxData Source: TraefikDomain: WebNoise: MediumPerformance: FastResources: Investigation GuideRule Type: ES|QLService: Apache HTTP ServerService: Apache TomcatService: IISService: NginxTactic: Command and ControlTactic: Credential AccessTactic: ExecutionTactic: PersistenceTactic: ReconnaissanceThreat: Web Application AttackThreat: Web ShellUse Case: Threat Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 3