Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
926 detections
Filters
Last updated
All Time
Detection languages
510
138
62
49
48
Contributors
250
202
86
62
43
Categories
666
663
274
161
114
Platforms
709
280
193
27
18
Products / Services
200
161
104
89
59
MITRE Techniques
18,116
15,636
12,583
8,393
6,223
926
CVEs
10
9
9
8
7
IDS Classtypes
4
1
1
1
IDS Protocols
5
1
Detects a potential TeamPCP infostealer execution chain where a bash shell running setup.sh or entrypoint.sh spawns curl with POST or upload arguments.
Detects a Unix-based (Linux or macOS) browser process spawning a Unix shell that establishes an outbound connection to an external destination.
This browser-to-shell execution chain may indicate malicious browser content, drive-by execution, a compromised website, or abuse of a browser extension on Linux or macOS systems.
The behavior may also occur during legitimate development, installation, automation, or enterprise software workflows.
This browser-to-shell execution chain may indicate malicious browser content, drive-by execution, a compromised website, or abuse of a browser extension on Linux or macOS systems.
The behavior may also occur during legitimate development, installation, automation, or enterprise software workflows.
Detects suspicious command-line execution patterns involving Unix shells (bash, zsh, sh) spawned from terminal applications where tools like curl or wget are piped directly into a shell, base64 decoding is performed, osascript executes dialogs, or quarantine attributes are removed.
Detects a system shell interpreter being spawned directly by a Celery worker process.
This behavior indicates a Python background task execution framework is evaluating raw string input through a shell execution context,
which is highly indicative of successful command or prompt injection exploitation against an LLM agent task.
This behavior indicates a Python background task execution framework is evaluating raw string input through a shell execution context,
which is highly indicative of successful command or prompt injection exploitation against an LLM agent task.
Hunts for NetScaler Pitboss packet engine messages where the text after NSPPE carries shell syntax such as separators, command substitution or ${IFS}. Security vendors observed this pattern during exploitation of the NetScaler pre authentication command injection flaw patched in September 2026.
The query reads Syslog and CommonSecurityLog and decodes URL encoding. It checks only the text after NSPPE, so plain heartbeat lines without shell syntax do not match. The matching logic was checked on sample strings only, not on real appliance logs.
Triage: Check the source, the appliance version and whether it was patched at that time. A match on an unpatched appliance points to an exploitation attempt, not proof of success. Preserve logs and a snapshot before upgrading. Hunting query, not an alert.
Limitations: Needs NetScaler syslog forwarded to Sentinel. Empty results do not prove an appliance is clean. Attackers can remove traces and other techniques are not covered. Field names depend on the syslog format and connector. Bare separators and short words can match legitimate messages, so tune the regex after reviewing real results.
The query reads Syslog and CommonSecurityLog and decodes URL encoding. It checks only the text after NSPPE, so plain heartbeat lines without shell syntax do not match. The matching logic was checked on sample strings only, not on real appliance logs.
Triage: Check the source, the appliance version and whether it was patched at that time. A match on an unpatched appliance points to an exploitation attempt, not proof of success. Preserve logs and a snapshot before upgrading. Hunting query, not an alert.
Limitations: Needs NetScaler syslog forwarded to Sentinel. Empty results do not prove an appliance is clean. Attackers can remove traces and other techniques are not covered. Field names depend on the syslog format and connector. Bare separators and short words can match legitimate messages, so tune the regex after reviewing real results.
Hunts for NetScaler Pitboss packet engine messages where the text after NSPPE carries shell syntax such as separators, command substitution or ${IFS}. Security vendors observed this pattern during exploitation of the NetScaler pre authentication command injection flaw patched in September 2026.
The query reads Syslog and CommonSecurityLog and decodes URL encoding. It checks only the text after NSPPE, so plain heartbeat lines without shell syntax do not match. The matching logic was checked on sample strings only, not on real appliance logs.
Triage: Check the source, the appliance version and whether it was patched at that time. A match on an unpatched appliance points to an exploitation attempt, not proof of success. Preserve logs and a snapshot before upgrading. Hunting query, not an alert.
Limitations: Needs NetScaler syslog forwarded to Sentinel. Empty results do not prove an appliance is clean. Attackers can remove traces and other techniques are not covered. Field names depend on the syslog format and connector. Bare separators and short words can match legitimate messages, so tune the regex after reviewing real results.
The query reads Syslog and CommonSecurityLog and decodes URL encoding. It checks only the text after NSPPE, so plain heartbeat lines without shell syntax do not match. The matching logic was checked on sample strings only, not on real appliance logs.
Triage: Check the source, the appliance version and whether it was patched at that time. A match on an unpatched appliance points to an exploitation attempt, not proof of success. Preserve logs and a snapshot before upgrading. Hunting query, not an alert.
Limitations: Needs NetScaler syslog forwarded to Sentinel. Empty results do not prove an appliance is clean. Attackers can remove traces and other techniques are not covered. Field names depend on the syslog format and connector. Bare separators and short words can match legitimate messages, so tune the regex after reviewing real results.
Detects an AhsayCBS / Tomcat / Java web service process spawning a
command or script interpreter. After exploiting AhsayCBS, attackers executed
shell commands through the dropped webshell to run reconnaissance and download
the XMRig payload. A backup web service should never directly spawn cmd.exe,
powershell.exe, or a Unix shell - this indicates webshell command execution.
command or script interpreter. After exploiting AhsayCBS, attackers executed
shell commands through the dropped webshell to run reconnaissance and download
the XMRig payload. A backup web service should never directly spawn cmd.exe,
powershell.exe, or a Unix shell - this indicates webshell command execution.
The following analytic detects the behavior of decoding base64-encoded data and passing it to a Linux shell. Additionally, it mitigates the potential damage and protects the organization's systems and data.The detection is made by searching for specific commands in the Splunk query, namely "base64 -d" and "base64 --decode", within the Endpoint.Processes data model. The analytic also includes a filter for Linux shells. The detection is important because it indicates the presence of malicious activity since Base64 encoding is commonly used to obfuscate malicious commands or payloads, and decoding it can be a step in running those commands. It suggests that an attacker is attempting to run malicious commands on a Linux system to gain unauthorized access, for data exfiltration, or perform other malicious actions.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule monitors for Linux web-server service accounts (such as www-data or nginx) attempting to elevate privileges by modifying file permissions to set SUID/SGID bits or by executing common system binaries with shell-escape patterns commonly documented in GTFOBins for privilege escalation.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
Detects the spawning of shells, network utilities, or scripting interpreters from Citrix NetScaler processes (nsppe or httpd), which may indicate post-exploitation activity following an initial access vulnerability.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
Detects when an AI agent's code execution sandbox (e.g., Python, Node.js, or Shell interpreters) initiates suspicious child processes. This includes the execution of network utilities for potential C2 (e.g., curl, nc, socat), the creation of interactive reverse shells, or the execution of credential harvesting tools (e.g., mimikatz, secretsdump), which suggests the AI agent's sandbox environment has been compromised or abused.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
Detects execution of encoded commands in macOS terminal environments that originate from clipboard content mimicking a reCAPTCHA verification process. This pattern often involves users being social-engineered into pasting a malicious string that decodes a payload and pipes it directly into a shell interpreter (sh/bash/zsh). The rule monitors for the co-occurrence of base64/openssl decoding commands and shell execution pipes, while filtering out known legitimate software installation patterns.
Detects potential 'ClickFix' activity where a browser or file explorer process initiates a shell (e.g., cmd, powershell, osascript) with command arguments indicative of remote script execution, obfuscated commands, or web-based payload downloading. This pattern matches known social engineering tactics that entice users to copy-paste malicious code into a system shell.
Detects the execution of RatHat, a Go-based Android native daemon masquerading as 'liblocal-service.so'. The rule identifies the malware's use of ADB-derived shell commands to bypass Android Doze mode, prioritize background execution, and tamper with installed applications via pm (package manager) commands.
Detects the RatHat ADB self-pairing sequence on Android devices, where an application uses shell-level access gained via ADB to stage and execute malicious binaries (such as Go Agents or FRP clients) from /data/local/tmp. The rule correlates the staging and execution of these specific binaries with subsequent network communication indicative of C2 or data exfiltration.
Detects instances where a Python process spawns a command-line shell (cmd.exe, powershell.exe, or bash) within 15 seconds of starting, while executing common reconnaissance or utility commands. This behavior is indicative of malicious code executing at import-time, a technique often associated with supply chain compromises in Python packages.
Page 3 of 45