Browse Rules

Search and filter across all detection sources

15 rules

elastic high eql

IIS HTTP Logging Disabled

Identifies when Internet Information Services (IIS) HTTP Logging is disabled on a server. An attacker with IIS server access via a webshell or other mechanism can disable HTTP Logging as an effective anti-forensics measure.

elastic high eql

Microsoft IIS Connection Strings Decryption

Identifies use of aspnet_regiis to decrypt Microsoft IIS connection strings. An attacker with Microsoft IIS web server access via a webshell or similar access can decrypt and dump any hardcoded connection strings, such as the MSSQL service account password using the aspnet_regiis command.

elastic low eql

Microsoft IIS Service Account Password Dumped

Identifies the Internet Information Services (IIS) command-line tool, AppCmd, being used to dump sensitive configuration data such as application pool credentials. An attacker with IIS web server access via a web shell can extract service account passwords by requesting full configuration output or targeting credential-related fields.

elastic high eql

Potential IIS Web Shell File Creation

Identifies the creation of ASPX/ASHX/ASMX files in specific directories that are commonly targeted by attackers to deploy web shells.

elastic high eql

Web Server Potential SQL Injection Request

This rule detects potential SQL injection attempts in web server requests by identifying common SQL injection patterns in URLs. Such activity may indicate reconnaissance or exploitation attempts by attackers trying to manipulate backend databases or extract sensitive information.

elastic low kql

Web Server Local File Inclusion Activity

This rule detects potential Local File Inclusion (LFI) activity on web servers by identifying HTTP GET requests that attempt to access sensitive local files through directory traversal techniques or known file paths. Attackers may exploit LFI vulnerabilities to read sensitive files, gain system information, or further compromise the server.

elastic medium eql

Web Server Cloud Metadata SSRF Request

Detects HTTP requests to web servers whose URL or query string references cloud instance metadata endpoints or equivalent encoded variants. Attackers exploit server-side request forgery (SSRF) vulnerabilities in web applications to reach link-local metadata services on AWS, GCP, Azure, and similar cloud providers and harvest temporary credentials, tokens, or instance details.

elastic low kql

Web Server Potential Remote File Inclusion Activity

This rule detects potential Remote File Inclusion (RFI) activity on web servers by identifying HTTP GET requests that attempt to access sensitive remote files through directory traversal techniques or known file paths. Attackers may exploit RFI vulnerabilities to read sensitive files, gain system information, or further compromise the server.

elastic low kql

Web Server Suspicious User Agent Requests

This rule detects unusual spikes in web server requests with uncommon or suspicious user-agent strings. Such activity may indicate reconnaissance attempts by attackers trying to identify vulnerabilities in web applications or servers. These user-agents are often associated with automated tools used for scanning, vulnerability assessment, or brute-force attacks.

elastic low kql

Web Server Discovery or Fuzzing Activity

This rule detects potential web server discovery or fuzzing activity by identifying a high volume of HTTP GET requests resulting in 404 or 403 status codes from a single source IP address within a short timeframe. Such patterns may indicate that an attacker is attempting to discover hidden or unlinked resources on a web server, which can be a precursor to more targeted attacks.

elastic low kql

Web Server Potential Spike in Error Response Codes

This rule detects unusual spikes in error response codes (500, 502, 503, 504) from web servers, which may indicate reconnaissance activities such as vulnerability scanning or fuzzing attempts by adversaries. These activities often generate a high volume of error responses as they probe for weaknesses in web applications. Error response codes may potentially indicate server-side issues that could be exploited.

elastic low kql

Potential Spike in Web Server Error Logs

This rule detects unusual spikes in error logs from web servers, which may indicate reconnaissance activities such as vulnerability scanning or fuzzing attempts by adversaries. These activities often generate a high volume of error responses as they probe for weaknesses in web applications. Error response codes may potentially indicate server-side issues that could be exploited.

elastic low kql

Potential Toolshell Initial Exploit (CVE-2025-53770 & CVE-2025-53771)

Identifies potential exploitation of CVE-2025-53770 and CVE-2025-53771 in IIS web servers on SharePoint sites. Toolshell is an exploit chain that leverages vulnerabilities in SharePoint/IIS to gain unauthorized access and execute commands. This rule detects HTTP requests that match specific patterns indicative of the exploit attempt.

elastic medium kql

Potential VIEWSTATE RCE Attempt on SharePoint/IIS

Detects potential remote code execution (RCE) attempts targeting IIS web servers running SharePoint via malicious VIEWSTATE payloads in HTTP POST requests. Attackers may exploit insecure deserialization in the VIEWSTATE parameter to execute arbitrary code. This rule identifies suspicious requests containing VIEWSTATE data and other indicators of exploitation, specifically those associated with the Toolshell exploit chain. Toolshell leverages vulnerabilities (CVE-2025-53770 and CVE-2025-53771) fo

elastic low kql

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 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.