Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potentially suspicious processes being spawned by a web server process which could be the result of a successfully placed web shell or exploitation. This rule specifically looks for common web server processes (Caddy, Apache HTTPD, Nginx, PHP, Tomcat, IIS, Exchange UMWorkerProcess) or Java processes identified as Tomcat, spawning anomaly children processes like command-line interpreters (cmd.exe, powershell.exe, bash.exe), network utilities (net.exe, netsh.exe), or other system utilities often used in post-exploitation.
Detects exploitation attempts targeting Arcadyan routers, specifically looking for path traversal (CVE-2021-20090) and configuration file injection (CVE-2021-20091) vulnerabilities. The rule identifies requests containing '..%2f' (URL-encoded path traversal) and, for the configuration file injection, also 'apply_abstract.cgi', combined with requests to unauthenticated paths.
Detects potential exploitation of CVE-2021-26084, a Confluence RCE using OGNL injection. The rule looks for specific POST requests to Confluence endpoints, either '/pages/createpage-entervariables.action' with a 'SpaceKey=x' parameter or '/doenterpagevariables.action' with a 'u0027' string in the POST body's 'queryString' parameter. It specifically targets requests from 'anonymous' users that result in a 200 HTTP status code.
Detects log entries that appear in exploitation attempts against Microsoft Exchange Remote Code Execution vulnerability CVE-2021-42321. Specifically, it looks for Event IDs 6 or 8 from the msexchange-management service containing specific error messages related to cmdlet failures or unhandled exceptions during Get-App operations, which are indicative of the exploitation.
Detects suspicious child processes spawned by 'pc-app.exe', which is the main application executable for PaperCut MF/NG. The presence of common system utilities and scripting interpreters as child processes of 'pc-app.exe' can indicate successful exploitation of a vulnerability within PaperCut, potentially leading to arbitrary code execution.
This rule detects buffer overflow attempts in Unix system log files by looking for specific keywords. These keywords include phrases indicating an attempt to execute code on the stack, known exploit strings like '0bin0sh1', a long string of 'A's (which can be indicative of buffer filling), and messages related to 'stack smashing detected'. The rule aims to identify malicious activity where an attacker tries to overflow a buffer to gain control of program execution, potentially leading to privilege escalation.
This rule detects the execution of various Windows-based hacktools by matching their import hash (imphash). This method allows for detection even if the tool's filename has been changed. The rule includes imphashes for tools such as PetitPotam, JuicyPotato, RoguePotato, Pwdump, Cobalt Strike beacons, PPLDump, NanoDump, HandleKatz, DripLoader, UACMe, WCE, Sliver Stagers, Dumpert, SysmonEnte, SysmonQuiet, ShaprEvtMute Hook, Forkatz, PPLKiller, Backstab, Forensia, EDRSandBlast, and EDRSilencer.
This rule detects the creation of a domain group named "ESX Admins" using either `net.exe` or PowerShell cmdlets like `New-ADGroup`. This activity is highly suspicious and indicates a potential exploitation attempt of CVE-2024-37085. This vulnerability allows an attacker to elevate privileges to full administrative access on a domain-joined ESXi hypervisor, as VMware ESXi hypervisors grant full administrative access by default to members of a domain group named "ESX Admins".
Identify process creations that are tagged exploit in VT
Detects buffer overflow attempts in Unix system log files
This analytic identifies high-severity intrusion events based on the classification assigned to Snort rules within Cisco Secure Firewall logs. It leverages Cisco Secure Firewall Threat Defense logs and focuses on events classified as: A Network Trojan was Detected, Successful Administrator Privilege Gain, Successful User Privilege Gain, Attempt to Login By a Default Username and Password, Known malware command and control traffic, Known malicious file or file based exploit, Known client side exploit attempt, Large Scale Information Leak. These classifications typically represent significant threats such as remote code execution, credential theft, lateral movement, or malware communication. Detection of these classifications should be prioritized for immediate investigation.
This analytic detects exploitation activity of CVE-2023-27532 using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signature 61514 (Veeam Backup and Replication credential dump attempt) is followed within a 5-minute window by 64795 (Veeam Backup and Replication xp_cmdshell invocation attempt), which detects the use of `xp_cmdshell`, a common post-exploitation technique. If confirmed malicious, this behavior is highly indicative of a successful exploitation of CVE-2023-27532, followed by remote command execution or credential dumping.
Detects potentially suspicious child processes spawned by the SSH daemon (sshd) that execute commands using 'bash -c' or 'sh -c' as the root user. This behavior is indicative of potential exploitation of CVE-2024-3094, a backdoor in the XZ Utils library.
Detects suspicious SQL query keywords that are often used during reconnaissance, data exfiltration, or destructive activities. This includes keywords like 'drop', 'truncate', 'dump', and 'select *', which can indicate attempts to manipulate database structures, extract sensitive information, or perform denial-of-service attacks.
Detects potential exploitation of a chained vulnerability attack targeting Ivanti EPMM 12.5.0.0. CVE-2025-4427 allows unauthenticated access to protected API endpoints via an authentication bypass, which can then be leveraged to trigger CVE-2025-4428 — a remote code execution vulnerability through template injection. This sequence enables unauthenticated remote code execution, significantly increasing the impact of exploitation.
Detects potential exploitation attempt of CVE-2023-1389, an Unauthenticated Command Injection vulnerability in TP-Link Archer AX21 routers. The rule looks for specific URI patterns and keywords indicative of an attempt to inject commands via the 'country' parameter.
This analytic identifies internal systems that generate a high volume of intrusion detection events within a 30-minute window, specifically leveraging Cisco Secure Firewall Threat Defense logs. It counts hosts that trigger 15 or more Snort-based signatures. A sudden increase in intrusion alerts from a single host can indicate malicious activity such as malware execution, command-and-control communication, vulnerability scanning, or lateral movement. It may also be caused by misconfigured software. Systems exhibiting this pattern require prompt investigation as repeated Snort rule matches are often early indicators of compromise or active exploitation.
The following analytic identifies unauthenticated requests to Kubernetes cluster pods. It detects this activity by analyzing GCP Pub/Sub messages for audit logs where the response status code is 401, indicating unauthorized access attempts. This activity is significant for a SOC because it may indicate reconnaissance or scanning attempts by an attacker trying to identify vulnerable pods. If confirmed malicious, this activity could lead to unauthorized access, allowing the attacker to exploit vulnerabilities within the cluster, potentially compromising sensitive data or gaining control over the Kubernetes environment.
This analytic identifies Snort intrusion signatures that have been triggered by ten or more distinct internal IP addresses within a one-hour window. It leverages Cisco Secure Firewall Threat Defense logs and focuses on the IntrusionEvent event type to detect activity that may indicate broad targeting or mass exploitation attempts. This behavior is often associated with opportunistic scanning, worm propagation, or automated exploitation of known vulnerabilities across multiple systems. If confirmed malicious, this could represent the early phase of a coordinated attack aiming to gain a foothold on several hosts or move laterally across the environment.
The analytic detects the execution of `pkexec` without any command-line arguments. This behavior leverages data from Endpoint Detection and Response (EDR) agents, focusing on process telemetry. The significance lies in the fact that this pattern is associated with the exploitation of CVE-2021-4034 (PwnKit), a critical vulnerability in Polkit's pkexec component. If confirmed malicious, this activity could allow an attacker to gain full root privileges on the affected Linux system, leading to complete system compromise and potential unauthorized access to sensitive information.
This analytic detects the presence of SIGRed (CVE-2020-1350), a critical DNS vulnerability, using Zeek DNS and Zeek Conn data. It identifies specific DNS query types (SIG and KEY) and checks for high data transfer within a flow (over 65KB). This detection is significant because SIGRed allows attackers to execute remote code on Windows DNS servers, potentially leading to unauthorized access and control. If confirmed malicious, this activity could result in data exfiltration, service disruption, or further network compromise. Immediate investigation and mitigation, such as patching or isolating the affected server, are crucial.
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