Detections

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

7,142 detections

This rule detects attempts to tamper with critical Linux log files such as /var/log/auth.log, /var/log/syslog, and /var/log/audit/audit.log. It specifically looks for file deletion or modification events, or process creation events that involve commands like 'rm', 'shred', 'truncate', 'unlink', or 'dd' targeting these log files. Legitimate processes like 'logrotate', 'rsyslog', 'syslog-ng', 'auditd', 'systemd', and 'journald' are excluded to reduce false positives.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects when a non-root user modifies, creates, or renames files within common cron directories or the main crontab file on Linux systems. This activity can indicate an attempt to establish persistence or schedule malicious tasks.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
203
This rule detects network connections on port 443 made to common public DNS resolvers (1.1.1.1, 8.8.8.8, 8.8.4.4, 9.9.9.9, 149.112.112.112) by processes other than known web browsers. This behavior is atypical for standard endpoint processes and may indicate the use of DNS-over-HTTPS (DoH) for command and control or data exfiltration to bypass network filtering.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
A node/python/pip-driven package install resolves a domain that Palo Alto classifies as newly-registered within seconds of the install. This signals a potential malicious dependency or compromised package beaconing to attacker infrastructure (supply-chain compromise / install-time C2).
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Peter Czajkowski@det0x
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Detections.ai Community
4 months ago
008
This rule monitors and alerts on network connections originating from hosts to known command-and-control (C2) or infrastructure domains associated with malicious browser extensions, specifically those identified in the BadBlocker campaign. These extensions often masquerade as legitimate ad-blocking tools to perform lifecycle beaconing or redirect users to promotional/malicious content.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects outbound HTTP/HTTPS requests to api.adblock-for-youtube.com to fetch scriptlet rules. This activity is consistent with the Adblock for YouTube extension (cmedhionkhpnakcndndgjjdbohmhepckk) periodically polling for updates.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects network, process, or command-line activity associated with the installation or update of malicious Chrome extensions linked to the BadBlocker campaign. The rule specifically monitors for known extension IDs: cmedhionkhpnakcndndgjdbohmhepckk (Adblock for YouTube), onomjaelhagjjojbkcafidnepbfkpnee (Adblock for Chrome), gekoepiplklhniacchbbgbhilidiojmb (AdBlock Suite), and ogcaehilgakehloljjmajoempaflmdci (Adblock for You).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects pip installing the benign-looking termncolor package together with colorinal. This dependency relationship was used to conceal delivery of platform-specific ZiChatBot droppers, as observed in campaigns attributed to OceanLotus (APT32). The rule specifically looks for command-line executions of pip or python with 'pip install' and the presence of 'termncolor', 'colorinal', or 'uuid32-utils' in the command line.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
117
Detects anomalous, high-frequency bidirectional WebSocket connections (wss/ws) originating from an endpoint that match patterns associated with Bluekit BitM. These connections typically carry DOM serialization events (rrweb-style) and session handshake data, indicative of a victim's keystrokes and mouse movements being relayed to an attacker-controlled browser session.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the use of the 'chmod' command to modify file permissions on critical system directories or files such as /etc/passwd, /etc/shadow, and various log directories. This activity is often indicative of an adversary attempting to facilitate privilege escalation, maintain persistence, or hide malicious artifacts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects suspicious update requests to the Ghost CMS Admin API that indicate an attempt at dynamic script injection. It specifically looks for PUT requests to `/ghost/api/admin/posts/` containing markers associated with Base64 decoding (`atob(`) and dynamic DOM manipulation (`appendChild`, `createElement`), or specific strings (`ghost_once_footer_`, `btoa(a.origin)`) known to be used in the Ghost ClickFix attack chain. This activity suggests an attacker is attempting to inject malicious JavaScript into Ghost CMS content, potentially leveraging a vulnerability like CVE-2026-26980.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
108
This rule detects activity associated with malicious or intrusive browser extensions, specifically identifying network connections to a known malicious command-and-control (C2) endpoint, execution of specific scriptlet keywords related to MAIN-world injection in browser processes, and the presence of known 'BadBlocker' extension IDs on endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects modifications to SSH authorized_keys files on Linux-based SD-WAN controllers, or successful SSH public key authentication events involving the vmanage-admin user, including attempts to identify authentication from unexpected source IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious activity associated with the exploitation of Ray framework dashboards. It identifies three distinct indicators: inbound network connections to the Ray dashboard port (8265), the execution of common file download tools (e.g., curl, wget) by Ray worker processes, and outbound connections from Ray processes to known C2 infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects various methods of establishing persistence on Linux systems by abusing dynamic linker configuration (/etc/ld.so.preload), modifying shell startup profiles (.bashrc, .profile) to include malicious environment variables (LD_PRELOAD/LD_LIBRARY_PATH), or directly launching processes with these hijacked variables pointing to suspicious locations such as /tmp, /dev/shm, or /var/tmp.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious cron job activity, including modifications to crontab files, execution of cron jobs from world-writable directories (such as /tmp or /dev/shm), and the usage of unusual prime-number timing intervals which are commonly used by attackers to evade standard scheduling patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects instances where a GitHub Actions runner requests an OIDC token and subsequently executes an npm publish command within 5 minutes. This behavior is indicative of unauthorized package deployment, potentially exploiting GitHub's OIDC 'trusted publishing' mechanism, as observed in the Miasma worm campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
A master aggregation capturing processes generating connections to multiple known malicious ports tied to specific campaigns, indicating potential C2 beaconing activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Identifies processes executing Base64 decoded commands where the parent script recently communicated with an AI endpoint, representing prompt-injected or AI-generated payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Detects modifications to .git/hooks/pre-commit files across developer workspaces, which is a primary persistence mechanism ensuring payload re-execution on git commits.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
108
Detects the initial stage of the Meow RAT ClickFix campaign, specifically targeting fileless zsh loaders. This rule identifies command-line executions involving 'zsh', 'bash', or 'sh' that combine 'eval', 'base64', 'gzip', and either 'curl' or 'osascript', often with redirection to /dev/null. This pattern is indicative of a gzip+base64 encoded heredoc being fetched via curl and executed in memory, followed by osascript for further actions.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
003
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