Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,128 detections
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Detects the execution of Python scripts named 'exploit.py' or 'exp.py', which are common naming conventions associated with proof-of-concept or exploit code.
Detects execution of processes masquerading as system threads (e.g., [kcached], [rcu_preempt]) that utilize the command-line flag 'exec -a' and include indicators associated with 'gs-dbus' or specific port configurations (GS_PORT=53). This pattern is often associated with obfuscated command-and-control or malicious persistence mechanisms that attempt to hide within common system process names.
Detects modifications or creations of files within the /var/spool/cron directory specifically involving the postgres user, as well as process execution of the 'crontab' utility by or for the postgres user. This activity may indicate an adversary attempting to establish persistence or execute code with postgres privileges.
Detects anomalous activity originating from or associated with the PostgreSQL service account, including the execution of shells and utilities commonly used for post-exploitation or system enumeration, as well as external network logins. This activity is indicative of credential abuse or container escapes where an adversary attempts to execute commands on the underlying host.
This rule detects the execution of npm or node.js commands involving specific, potentially malicious package names or internal project naming patterns often associated with dependency confusion or supply chain attacks. It monitors npm/node CLI arguments for targeted library names or installation commands that deviate from standard organizational behavior.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects the use of the 'tar' utility with the '--use-compress-program' flag, where the compression program specified is not a standard system compression tool. This pattern is commonly used by attackers to execute arbitrary payloads when tar extracts malicious archives.
Detects a Parallels appliance tar archive containing a directory entry name with an embedded double-quote character followed by the --use-compress-program flag, characteristic of the ParaShells (CVE-2026-90894) tar argument-injection payload
Detects suspicious execution of the 'tar' utility spawned by 'prl_disp_service' (Parallels Desktop service) using potentially malicious command-line arguments. The rule specifically flags the use of '--use-compress-program' or the inclusion of double quotes in the command line, which are often used to achieve arbitrary code execution via shell injection in this context.
Detects the creation of files or folders containing suspicious command-line parameters associated with tar or Parallels toolchain injection, specifically looking for the 'use-compress-program' flag which can be abused for command injection.
Detects the creation of files or folders containing suspicious command-line parameters associated with tar or Parallels toolchain injection, specifically looking for the 'use-compress-program' flag which can be abused for command injection.
Detects execution of the tar utility by the prl_disp_service process with a command line pattern indicative of command injection via the --use-compress-program flag. This technique is often used to execute arbitrary commands by embedding them within the compression program argument.
Detects execution of the tar utility by the prl_disp_service process with a command line pattern indicative of command injection via the --use-compress-program flag. This technique is often used to execute arbitrary commands by embedding them within the compression program argument.
Detects a 'force-push' operation in a Git repository where the pushed commit is not cryptographically signed. This behavior is often indicative of repository tampering, such as overwriting commit history to remove audit trails, hide malicious code injection, or facilitate unauthorized repository modifications.
Detects embedded CVE-2026-46300 (Fragnesia) Linux privilege escalation exploit code used by KATARU IoT malware, copied unmodified from public PoC
Detects the execution of Python interpreters with command-line arguments referencing files commonly used for proxy configurations, such as 'verify3.py', 'proxy_tester', or various '.txt' files located within a '/root/proxy/' directory. This pattern is indicative of potential proxy testing, configuration, or usage of custom proxy-based command-and-control tools.
Detects the execution of Python interpreters with command-line arguments referencing files commonly used for proxy configurations, such as 'verify3.py', 'proxy_tester', or various '.txt' files located within a '/root/proxy/' directory. This pattern is indicative of potential proxy testing, configuration, or usage of custom proxy-based command-and-control tools.
Detects the execution of Python interpreters with command-line arguments referencing files commonly used for proxy configurations, such as 'verify3.py', 'proxy_tester', or various '.txt' files located within a '/root/proxy/' directory. This pattern is indicative of potential proxy testing, configuration, or usage of custom proxy-based command-and-control tools.
This rule detects potentially unauthorized network communication with AI platforms (OpenAI, Anthropic, Gemini) or Telegram from hosts executing suspicious processes or tools, such as 'frpc' (Fast Reverse Proxy), 'liblocal-service.so', or processes interacting with Android Debug Bridge (adb) utilities. This behavior often suggests the use of automated tools, remote tunneling, or interaction with AI models for post-exploitation tasks, such as code generation for malicious scripts or C2 activity.
Detects the GHAPPIER loader pattern: a top-level require('https').get() call to the primevector-app924560.vercel.app C2 that evals the response, disguised inside a large benign-looking JavaScript benchmark file
Detects the GHAPPIER loader pattern: a top-level require('https').get() call to the primevector-app924560.vercel.app C2 that evals the response, disguised inside a large benign-looking JavaScript benchmark file
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