Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects malicious ASP.NET webshell activity associated with the CL0P Ransomware Gang exploiting CVE-2023-34362. The rule looks for specific HTTP headers used by the webshell, indicators of Azure Blob Storage interaction, or SQL injection attempts.
This rule detects modifications to Cisco device configurations that could be used by an adversary for persistence, privilege escalation, or to impact system availability. Specifically, it looks for commands related to enabling HTTP/HTTPS servers, configuring Kron jobs (scheduled tasks), modifying access lists, archiving configurations, and setting NTP servers. These commands, if used maliciously, can allow an attacker to maintain access, execute arbitrary commands, control network access, or disrupt time synchronization.
Detects HTTP requests indicative of Oyster malware C2 beaconing, including GET requests to /reg with WordPressAgent User-Agent and application/json Content-Type, GET requests to /login with FingerPrint User-Agent, and GET/POST requests to /api/kcehc or POST requests to /api/jgfnsfnuefcnegfnehjbfncejfh.
These rules detect indicators associated with a campaign where attackers compromised developer accounts and inserted malicious code into over 35 Google Chrome extensions. The first rule identifies suspicious network connections to known malicious IP addresses and command-and-control (C2) domains. The second rule identifies the presence of known malicious Chrome extension names or their corresponding extension IDs, which could indicate the presence of a hijacked extension.
Identify Suspicious Admin Activity in F5 BIG IP
Detects suspicious administrative activities on F5 BIG-IP devices, such as failed logins or configuration changes. This is based on recommendations from F5 in response to a security incident disclosed in October 2025 where a threat actor gained access to BIG-IP development environments. F5 advised customers to enhance monitoring for admin logins, failed authentications, and privilege and configuration changes.
This rule detects attempts to exploit CVE-2023-23752 in Joomla. The exploit involves unauthenticated access to sensitive configuration information or user data via specific API endpoints. The rule looks for HTTP GET requests to '/api/index.php/v1/users?public=true' or '/api/index.php/v1/config/application?public=true' followed by a 200 HTTP status code, indicating a successful information disclosure.
This rule detects HTML content that is structured to resemble an imageless QR code, typically rendered using an HTML table. It looks for the presence of both black and white color definitions (hex codes #FFFFFF and #000000) in conjunction with HTML table tags (<table> or <td) and color styling attributes (background-color: or color:). This technique can be used for obfuscation or to embed data in a way that might bypass traditional image-based QR code detection.
Detects attempts to exploit a Rejetto HTTP File Server (HFS) via CVE-2014-6287. The rule looks for specific patterns in the URI query that indicate an attempt to inject commands or save files, which are characteristic of this vulnerability. The presence of '?search=%00{.' combined with keywords like 'powershell', 'cmd.exe', 'cscript', 'wscript', 'python', or paths like 'C:\Users\Public\' suggests an exploitation attempt.
This rule detects login attempts against the Telnet service running on an OpenCanary honeypot. OpenCanary is designed to attract and detect unauthorized access attempts, so any login attempt to its Telnet service indicates potential malicious activity or reconnaissance against the honeypot.
Triggers when more than 5 failed login detected in one hour time span. set rule to run every 60mins
The following analytic identifies potential phishing attempts blocked by Zscaler within a network. It leverages web proxy logs to detect actions tagged as HTML.Phish. The detection method involves analyzing critical data points such as user, threat name, URL, and hostname. This activity is significant for a SOC as it serves as an early warning system for phishing threats, enabling prompt investigation and mitigation. If confirmed malicious, this activity could indicate an attempt to deceive users into divulging sensitive information, potentially leading to data breaches or credential theft.
Detects potential exploitation of Cisco SNMP vulnerability (CVE-2025-20352) by identifying shell command patterns within SNMP traffic, indicative of remote code execution attempts as seen in Operation Zero Disco.
The following analytic detects the high-frequency exfiltration of archive files via HTTP POST requests. It leverages HTTP stream logs to identify specific archive file headers within the request body. This activity is significant as it often indicates data exfiltration by APTs or trojan spyware after data collection. If confirmed malicious, this behavior could lead to the unauthorized transfer of sensitive data to an attacker’s command and control server, potentially resulting in severe data breaches and loss of confidential information.
Detects network connections from web browsers to domains associated with the UNC5142 EtherHiding technique, including a specific blockchain node and malicious Cloudflare Pages domains.
The analytic detects a high volume of outbound web traffic, specifically over 1GB of data sent to a URL within a 2-minute window. It leverages web access logs to identify significant uploads by analyzing the sum of bytes out. This activity is significant as it may indicate potential data exfiltration by malware or malicious insiders. If confirmed as malicious, this behavior could lead to unauthorized data transfer, resulting in data breaches and loss of sensitive information. Immediate investigation is required to determine the legitimacy of the transfer and mitigate any potential threats.
This detection identifies potential exploitation of a critical SQL injection vulnerability in Ivanti Endpoint Manager (EPM), identified as CVE-2024-29824. The vulnerability, which has a CVSS score of 9.8, allows for remote code execution through the `RecordGoodApp` function in the `PatchBiz.dll` file. An attacker can exploit this vulnerability by manipulating the `goodApp.md5` value in an HTTP POST request to the `/WSStatusEvents/EventHandler.asmx` endpoint, leading to unauthorized command execution on the server. Monitoring for unusual SQL commands and HTTP requests to this endpoint can help identify exploitation attempts. Note that, the detection is focused on the URI path, HTTP method and status code of 200, indicating potential exploitation. To properly identify if this was successful, TLS inspection and additional network traffic analysis is required as the xp_cmdshell comes in via the request body.
The following analytic identifies attempts to exploit Jenkins Arbitrary File Read CVE-2024-23897. It detects HTTP POST requests to Jenkins URLs containing "*/cli?remoting=false*" with a 200 status code. This activity is significant as it indicates potential unauthorized access to sensitive files on the Jenkins server, such as credentials and private keys. If confirmed malicious, this could lead to severe data breaches, unauthorized access, and further exploitation within the environment.
The analytic detects attempts to exploit the Fortinet FortiNAC CVE-2022-39952 vulnerability. It identifies HTTP POST requests to the URI configWizard/keyUpload.jsp with a payload.zip file. This activity indicates an attempt to exploit a known vulnerability, potentially leading to remote code execution. If confirmed malicious, attackers could gain control over the affected system, schedule malicious tasks, and establish persistent access via a remote command and control (C2) server.
The following analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1709 vulnerability, which allows attackers to bypass authentication via alternate paths or channels. It leverages Nginx access logs to identify web requests to the SetupWizard.aspx page, indicating potential exploitation. This activity is significant as it can lead to unauthorized administrative access and remote code execution. If confirmed malicious, attackers could create administrative users and gain full control over the affected ScreenConnect instance, posing severe security risks. Immediate remediation by updating to version 23.9.8 or above is recommended.
Detects DNS queries containing patterns associated with Kerberos coercion attacks via DNS object spoofing.
The pattern "1UWhRCAAAAA..BAAAA" is a base64-encoded signature that corresponds to a marshaled CREDENTIAL_TARGET_INFORMATION structure.
Attackers can use this technique to coerce authentication from victim systems to attacker-controlled hosts.
It is one of the strong indicators of a Kerberos coercion attack, where adversaries manipulate DNS records
to spoof Service Principal Names (SPNs) and redirect authentication requests like CVE-2025-33073.
The pattern "1UWhRCAAAAA..BAAAA" is a base64-encoded signature that corresponds to a marshaled CREDENTIAL_TARGET_INFORMATION structure.
Attackers can use this technique to coerce authentication from victim systems to attacker-controlled hosts.
It is one of the strong indicators of a Kerberos coercion attack, where adversaries manipulate DNS records
to spoof Service Principal Names (SPNs) and redirect authentication requests like CVE-2025-33073.
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