Detections

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

5,155 detections

Detects network activity associated with the 'VPN-for-X' browser extension, specifically targeting communication with external services used for proxy configuration fetching and dead-drop proxy list retrieval. This includes TLS SNI checks for GitHub, Blogspot, and Telegram, as well as specific URI requests for proxy configurations and server lists.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
Detects network traffic to specific domains (api.hhos.ru, mainapi.store) associated with the VPN-for-X browser extension's monetization API. This behavior is indicative of command-and-control or tracking communication identified as potentially malicious within the context of a browser extension.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
Detects high-frequency connection attempts from a single source IP to multiple destination IPs over the non-standard DVRIP port 37777, often used by Dahua surveillance equipment. This behavior is indicative of automated scanning, brute-forcing, or exploitation attempts targeting vulnerable IoT/CCTV devices.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects anomalous Telnet (TCP port 23) traffic associated with Mirai-variant botnet propagation, such as scanning for new targets or inbound compromise attempts, often following cPanel/WHM vulnerabilities.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
105
Detects anomalous network polling patterns consistent with 'EvilTokens' or similar adversary-in-the-middle (AiTM) OAuth phishing kits. The rule identifies web browsers performing high-frequency, low-interval polling (3-6s) against non-reputable/unseen domains (the attacker-controlled status endpoint) immediately preceding or following successful Microsoft OAuth device-code authentication sequences.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
103
Detects network connection attempts from endpoints to known proxy service domains (IPRoyal, LightningProxies) that have been observed acting as infrastructure for CHOSEN BRICK Telegram-based C2 and exfiltration traffic.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
404
Detects network connection attempts from endpoints to known proxy service domains (IPRoyal, LightningProxies) that have been observed acting as infrastructure for CHOSEN BRICK Telegram-based C2 and exfiltration traffic.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
104
Detects HTTP POST requests to a known suspicious endpoint ('/board.php') often used by the Chinotto Python backdoor. The rule monitors for outgoing web traffic containing 'data=' parameters or connections to known malicious domains, indicating potential exfiltration of base64-encoded command output.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
Detects network activity associated with the 'ClickFix' social engineering campaign, which commonly targets users with fake error messages to trick them into executing malicious commands. The rule identifies communication with known malicious infrastructure (domains and IP addresses) found in CommonSecurityLog events, while implementing filters to exclude common security scanners and deduplicating per-host alerts.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
203
Detects network connections or DNS queries to known suspicious domains associated with command and control infrastructure.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
102
Detects network connections or DNS queries to known suspicious domains associated with command and control infrastructure.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
002
Detects network connections or DNS queries to known suspicious domains associated with command and control infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects network connections, process command line arguments, and DNS queries associated with identified Galago or Panzer ransomware C2, leak site, or contact infrastructure (Tox IDs/Tor .onion addresses).
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
002
Detects network connections, process command line arguments, and DNS queries associated with identified Galago or Panzer ransomware C2, leak site, or contact infrastructure (Tox IDs/Tor .onion addresses).
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects potential AI-targeted cloaking, a technique where a web server serves different content to AI crawlers versus human users, identified by comparing HTTP response sizes or hashes across session logs. The rule uses Microsoft Sentinel's ASIM Web Session schema to correlate web requests, identifying discrepancies that suggest malicious or evasive intent. Covers T1036 & T1027
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
202
Detects potential AI-targeted cloaking, a technique where a web server serves different content to AI crawlers versus human users, identified by comparing HTTP response sizes or hashes across session logs. The rule uses Microsoft Sentinel's ASIM Web Session schema to correlate web requests, identifying discrepancies that suggest malicious or evasive intent. Covers T1036 & T1027
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Arnold Chan@slaz
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Hunters
1 month ago
202
Detects rapid, machine-speed, sequential attack-path adaptation by suspected AI agent binaries. The rule monitors for a correlation of four stages occurring within a tight 20-minute window: 1) Failed service connections across three or more distinct protocols (SMB, SSH, HTTP, RDP, WinRM), 2) Credential access attempts (Logon events or execution of known credential-dumping tools), and 3) A lateral movement pivot to a new, previously un-targeted internal destination. The rule specifically keys on the InitiatingProcessId and InitiatingProcessCreationTime to ensure the sequence is attributed to a single process instance, distinguishing it from human manual penetration testing activity. Covers T1190, T1210, T1078
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects rapid, machine-speed, sequential attack-path adaptation by suspected AI agent binaries. The rule monitors for a correlation of four stages occurring within a tight 20-minute window: 1) Failed service connections across three or more distinct protocols (SMB, SSH, HTTP, RDP, WinRM), 2) Credential access attempts (Logon events or execution of known credential-dumping tools), and 3) A lateral movement pivot to a new, previously un-targeted internal destination. The rule specifically keys on the InitiatingProcessId and InitiatingProcessCreationTime to ensure the sequence is attributed to a single process instance, distinguishing it from human manual penetration testing activity. Covers T1190, T1210, T1078
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
102
Detects rapid, machine-speed, sequential attack-path adaptation by suspected AI agent binaries. The rule monitors for a correlation of four stages occurring within a tight 20-minute window: 1) Failed service connections across three or more distinct protocols (SMB, SSH, HTTP, RDP, WinRM), 2) Credential access attempts (Logon events or execution of known credential-dumping tools), and 3) A lateral movement pivot to a new, previously un-targeted internal destination. The rule specifically keys on the InitiatingProcessId and InitiatingProcessCreationTime to ensure the sequence is attributed to a single process instance, distinguishing it from human manual penetration testing activity. Covers T1190, T1210, T1078
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects the Sauron Loader execution chain, which involves a specific process (rnpkeys.exe, rnp.dll, or tdwp.dll) performing a network request (beacon), followed by the creation of a new file (executable, script, or library), and the subsequent execution of that same file. This pattern is characteristic of operator-issued download-and-run tasking.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
001
Detects the Sauron Loader execution chain, which involves a specific process (rnpkeys.exe, rnp.dll, or tdwp.dll) performing a network request (beacon), followed by the creation of a new file (executable, script, or library), and the subsequent execution of that same file. This pattern is characteristic of operator-issued download-and-run tasking.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
001
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