Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

7,141 detections

This rule detects the creation or modification of specific script files in common Linux persistence locations: '/etc/profile.d/' or '/usr/local/lib/'. Adversaries may modify or create scripts like '.sh.local' or '.cache-update.sh' in these directories to establish persistence, as these scripts can be executed automatically during system boot or user login.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
107
Detects network connections from Node.js or Bun runtime processes to common cloud instance metadata service IPs (AWS, Azure, GCP) or to the default HashiCorp Vault port (8200). This activity can indicate credential access attempts, especially in the context of a supply chain attack where malicious code might be injected into a Node.js/Bun application to exfiltrate sensitive information or gain further access. The rule correlates network connection events with process execution events to identify the specific runtime responsible.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1010
Detects when a known OpenClaw AI agent process spawns a shell to download and immediately execute a script. This is a common pattern used by malicious "Skills" to establish persistence or run further payloads, as detailed in the NSFOCUS report.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
3010
Monitors for the use of 'sshpass' to automate SSH logins, specifically targeting accounts commonly associated with Oracle/PeopleSoft administration (psoft, oracle, linuxadm) and bypassing strict host key checking. This technique has been observed in ShinyHunters attacks for lateral movement.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
307
Detects the execution of 'opsec_enum.sh', a post-exploitation cleanup script, and associated activity involving ZipSlip-based webshell persistence components (such as 'mkzip34.py' and specific chunked file names) used by the threat actor MexicanMafia during Operation Escaneo.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects the creation of files on web servers matching known Neo-reGeorg web shell tunnel variants. These files are typically used as backdoors to tunnel traffic and provide persistent access to the server.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects the execution of scripts and commands associated with known SAP RFC exploitation attempts, including specific shell scripts used for RCE or credential extraction, as well as the invocation of SAP function modules like SXPG_CALL_SYSTEM for OS command execution. These patterns are consistent with post-exploitation activity or unauthorized system administration in SAP environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects the execution of known Oracle database PII exfiltration scripts and patterns associated with the 'MexicanMafia Operation Escaneo' campaign. The rule monitors for specific command-line activity, including the use of extraction scripts like 'dump_oracle_pii.sh', 'fast_extract.py', and database-level exfiltration techniques such as UTL_FILE or sys_eval targeting incremental CSV exports to /tmp.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects attempts to exploit the PwnKit vulnerability (CVE-2021-4034) in Polkit's pkexec. The rule monitors for malicious command-line arguments involving GCONV_PATH environment manipulation, the execution of pkexec by non-root users, and the presence of associated PwnKit payload artifacts, such as base64-encoded strings or specific chunked files.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects the obfuscated 'setup.cjs' dropper associated with the easy-day-js npm supply chain attack. The rule identifies unique obfuscated variable names, XOR-encoded marker bytes, and specific campaign-related strings, including postinstall commands, package names, second-stage payload filenames, self-deletion patterns, and TLS bypass indicators.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
006
Detects suspicious activity involving the combination of user or network namespace creation using 'unshare' or 'ip' and subsequent manipulation of kernel networking queues using 'tc' (Traffic Control). This behavioral pattern is frequently observed in Linux kernel exploits designed to achieve local privilege escalation by creating namespaces and using the 'tc' subsystem to trigger vulnerabilities. The rule further refines matches by flagging commands or parent processes residing in directories associated with staging or temporary storage, such as /tmp or /dev/shm.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects the spawning of root shells from suid binaries (su) in conjunction with user namespace creation or suspicious parent process execution, potentially indicating exploitation of local privilege escalation vulnerabilities like the pedit COW page cache poisoning (CVE-2026-46331). The detection correlates non-root process activity in suspicious locations with subsequent elevated shell creation.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects when common developer environments (IDE processes like VS Code or Node.js-based tools) or AI coding assistant tools (e.g., Amazon Q) spawn suspicious child processes (like shells or network tools) that interact with sensitive cloud configuration files, environment variables, or initiate unauthorized network requests.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects evidence of the MYRA Linux RAT, which uses LD_PRELOAD hijacking via a malicious library located at /usr/local/lib/.libcache.so for persistence or execution flow hijacking. The rule also identifies the malware's practice of masquerading as the 'systemd-userdbd' service, often launched from a Node.js-based environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects outbound network connections to specific cloud storage providers (Wasabi, Tebi, I3Storage) which are commonly leveraged by adversaries for data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects network traffic to Cloudflare-hosted services (trycloudflare.com, workers.dev) potentially indicative of C2 communication, especially when initiated by common scripting or proxy processes like powershell.exe, wscript.exe, cscript.exe, mshta.exe, or cloudflared.exe.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects execution patterns associated with the DirtyClone (CVE-2026-43503) exploit, which involves an unprivileged process utilizing user and network namespaces to configure IPsec XFRM Security Associations (SAs) to corrupt the kernel page cache of sensitive binaries such as /usr/bin/su.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects a suspicious execution chain where 'node-gyp' is observed spawning 'node' to execute 'index.js', characteristic of a 'Phantom Gyp' malicious pattern, followed immediately by the execution of a temporary JavaScript payload via the 'bun' runtime. This pattern is indicative of a multi-stage loader often used in supply chain attacks involving obfuscated payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects a sequence of events consistent with the DirtyClone/DirtyFrag kernel exploit: first, identifying precursor activities such as namespace manipulation (unshare), kernel module loading of networking components (esp4/6, rxrpc), or specific exploit binary execution; followed by an anomalous spawn of a root shell from an unprivileged parent process within a short 5-minute window.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects the execution of specific shell processes (sh, bash, crontab) where command-line arguments reference suspicious paths commonly associated with persistence mechanisms or malware, such as /var/tmp/ files or crontab spool directories.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
This rule detects outbound network connections to common tunneling and proxy services (Cloudflare Tunnel, Cloudflare Workers, and Microsoft Dev Tunnels). These services are frequently abused by threat actors, such as the Gamaredon Group (ACTINIUM), to establish command-and-control (C2) channels and tunnel traffic to evade network-based detection systems.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
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