Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This analytic identifies unauthenticated access attempts to the System Manager Portal in Ivanti Sentry, exploiting CVE-2023-38035. It detects this activity by monitoring HTTP requests to specific endpoints ("/mics/services/configservice/*", "/mics/services/*", "/mics/services/MICSLogService*") with a status code of 200. This behavior is significant for a SOC as it indicates potential unauthorized access, which could lead to OS command execution as root. If confirmed malicious, this activity could result in significant system compromise and data breaches, especially if port 8443 is exposed to the internet.
The following analytic detects potential exploitation attempts on publicly accessible PaperCut NG servers. It identifies connections from public IP addresses to the server, specifically monitoring URI paths commonly used in proof-of-concept scripts for exploiting PaperCut NG vulnerabilities. This detection leverages web traffic data from the `Web` datamodel, focusing on specific URI paths and excluding internal IP ranges. This activity is significant as it may indicate an attempt to exploit known vulnerabilities in PaperCut NG, potentially leading to unauthorized access or control of the server. If confirmed malicious, attackers could gain administrative access, leading to data breaches or further network compromise.
The analytic detects the initiation of traffic mirroring sessions on Cisco network devices. It leverages logs with specific mnemonics and facilities related to traffic mirroring, such as "ETH_SPAN_SESSION_UP" and "PKTCAP_START." This activity is significant because adversaries may use traffic mirroring to exfiltrate data by duplicating and forwarding network traffic to an external destination. If confirmed malicious, this could allow attackers to capture sensitive information, monitor network communications, and potentially compromise the integrity and confidentiality of the network.
The following analytic detects potential exploitation of the Adobe ColdFusion vulnerability, CVE-2023-26360, which allows unauthenticated arbitrary file read. It monitors web requests to the "/cf_scripts/scripts/ajax/ckeditor/*" path using the Web datamodel, focusing on specific ColdFusion paths to differentiate malicious activity from normal traffic. This activity is significant due to the vulnerability's high CVSS score of 9.8, indicating severe risk. If confirmed malicious, it could lead to unauthorized data access, further attacks, or severe operational disruptions, necessitating immediate investigation.
The following analytic detects potentially malicious file upload attempts to Citrix ShareFile via specific suspicious URLs and the HTTP POST method. It leverages the Web datamodel to identify URL patterns such as "/documentum/upload.aspx?parentid=", "/documentum/upload.aspx?filename=", and "/documentum/upload.aspx?uploadId=*", combined with the HTTP POST method. This activity is significant for a SOC as it may indicate an attempt to upload harmful scripts or content, potentially compromising the Documentum application. If confirmed malicious, this could lead to unauthorized access, data breaches, and operational disruptions.
The following analytic identifies specific GET or HEAD requests to web servers that indicate reconnaissance attempts to find vulnerable JBoss servers. It leverages data from the Web data model, focusing on HTTP methods and URLs associated with JBoss management interfaces. This activity is significant because it often precedes exploitation attempts using tools like JexBoss, which can compromise the server. If confirmed malicious, attackers could gain unauthorized access, execute arbitrary code, or escalate privileges, leading to potential data breaches and system compromise.
The following analytic identifies attempts to exploit CVE-2024-27199, a critical vulnerability in JetBrains TeamCity web server, allowing unauthenticated access to specific endpoints. It detects unusual access patterns to vulnerable paths such as /res/, /update/, and /.well-known/acme-challenge/ by monitoring HTTP traffic logs via Suricata. This activity is significant as it could indicate an attacker bypassing authentication to access or modify system settings. If confirmed malicious, this could lead to unauthorized changes, disclosure of sensitive information, or uploading of malicious certificates, severely compromising the server's security.
The analytic identifies potential server-side template injection attempts related to CVE-2022-22954. It detects suspicious URL patterns containing "deviceudid" and keywords like "java.lang.ProcessBuilder" or "freemarker.template.utility.ObjectConstructor" using web or proxy logs. This activity may indicate an attempt to exploit a known vulnerability in VMware, potentially leading to remote code execution.
The analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1709 vulnerability, which allows attackers to bypass authentication via an alternate path or channel. It leverages web request logs to identify access 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 system, posing severe security risks. Immediate remediation by updating to version 23.9.8 or above is recommended.
The following analytic identifies unusually long strings in the Content-Type HTTP header sent by the client to the server. It uses data from the Stream:HTTP source, specifically evaluating the length of the `cs_content_type` field. This activity is significant because excessively long Content-Type headers can indicate attempts to exploit vulnerabilities or evade detection mechanisms. If confirmed malicious, this behavior could allow attackers to execute code, manipulate data, or bypass security controls, potentially leading to unauthorized access or data breaches.
The following analytic identifies URL requests associated with CVE-2022-22965 (Spring4Shell) exploitation attempts, specifically targeting webshell access on a remote webserver. It detects HTTP GET requests with URLs containing ".jsp?cmd=" or "j&cmd=" patterns. This activity is significant as it indicates potential webshell deployment, which can lead to unauthorized remote command execution. If confirmed malicious, attackers could gain control over the webserver, execute arbitrary commands, and potentially escalate privileges, leading to severe data breaches and system compromise.
This analytic detects potential exploitation attempts against VMWare vRealize Network Insight, specifically targeting the CVE-2023-20887 vulnerability. It monitors web traffic for HTTP POST requests directed at the vulnerable endpoint "/saas./resttosaasservlet." Identifying this behavior is crucial for a SOC as it indicates an active exploit attempt. If confirmed malicious, the attacker could execute arbitrary code, leading to unauthorized access, data theft, or further network compromise.
Detects network communication initiated to the 'portmap.io' domain. This domain is often associated with port forwarding services that can be abused by malicious actors for command and control (C2) communication or data exfiltration, potentially masking the true destination of the traffic.
Detects suspicious file creations within the Palo Alto Networks PAN-OS' parent telemetry folder, specifically looking for filenames containing patterns indicative of OS command injection attempts related to CVE-2024-3400. These files are processed by the 'dt_curl' script, which can lead to arbitrary command execution if device telemetry is enabled and filenames are crafted to bypass shell-subprocess restrictions.
Detects potential exploitation attempts of CVE-2024-3400, an OS command injection vulnerability in Palo Alto GlobalProtect. The rule looks for suspicious strings indicating directory traversal or command injection within Palo Alto GlobalProtect logs.
Detects HTTP requests to low reputation Top-Level Domains (TLDs) or for files with suspicious extensions, which may indicate an attempt to download malicious content or establish command and control.
Detects HTTP requests to low reputation TLDs (e.g. .xyz, .top, .ru) or ending in suspicious file extensions (.exe, .dll, .hta), which may indicate malicious activity.
Detects potential exploitation of CVE-2024-1212, an unauthenticated command injection vulnerability in Progress Kemp LoadMaster. The rule specifically looks for GET requests to the '/access/set' API with the parameters 'param=enableapi' and 'value=1', combined with an "Authorization" header containing a base64 encoded value with uncommon characters, indicative of an attempted exploit.
This rule detects when an SNMP OID request is made to an OpenCanary honeypot's SNMP service. This indicates an adversary is likely performing reconnaissance to gather information about the network or devices, potentially looking for vulnerabilities or sensitive data.
Detects instances where a TFTP service on an OpenCanary honeypot node has received a request. This indicates potential reconnaissance or attempts to interact with a seemingly vulnerable service.
This rule detects HTTP POST login attempts against an OpenCanary honeypot. OpenCanary is a honeypot designed to mimic various services to detect unauthorized access attempts. A 'logtype' of 3001 specifically indicates an HTTP service login attempt via a form POST, suggesting an adversary is trying to gain initial access or credentials by interacting with the emulated service.
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