Detections

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

5,158 detections

Detects HTTP POST requests characteristic of the Kynx Stealer's ChunkSender module. The rule monitors for specific URI patterns used during the exfiltration phase, where stolen data categories like passwords, cookies, and system information are sent to a remote C2 panel.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
1011
This rule detects the use of the Frida dynamic instrumentation toolkit and the objection framework, specifically searching for command-line arguments and process names associated with their installation or use, as well as network activity on the default Frida server port (27042). It monitors for activities like SSL pinning bypass, mobile application patching, and remote agent deployment.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
7028
This rule detects successful connection events to Palo Alto GlobalProtect gateways originating from known malicious source IP addresses associated with the exploitation of CVE-2026-0257, or connections initiated by hosts using suspicious or default placeholder device names/host IDs. It effectively identifies potential exploitation attempts or unauthorized access to corporate VPN gateways.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
10215
This rule detects successful connection events to Palo Alto GlobalProtect gateways originating from known malicious source IP addresses associated with the exploitation of CVE-2026-0257, or connections initiated by hosts using suspicious or default placeholder device names/host IDs. It effectively identifies potential exploitation attempts or unauthorized access to corporate VPN gateways.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
8013
KQL Query
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
002
This rule monitors Zscaler Internet Access logs for high volumes of session activity, specifically detecting when a user exceeds a burst threshold of new session creations or consistently operates near the maximum allowed concurrent session limit within a 10-minute window. This behavior may indicate account compromise, automated credential stuffing, or abuse of access policies.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
002
This rule identifies network connections using deprecated, insecure TLS versions (TLS 1.0, 1.1) or weak cipher suites (RC4, 3DES, NULL). The use of these legacy cryptographic protocols is a security risk, as they are vulnerable to various attacks like man-in-the-middle, and may indicate misconfigured servers, legacy infrastructure, or attempts by an adversary to downgrade encryption to facilitate traffic interception or inspection.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
307
Detects network or process telemetry containing the 'ngrok-free.app' domain, which indicates the use of ngrok tunnels to expose local services to the internet, potentially bypassing inbound firewall controls or serving as an unauthorized command-and-control channel.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
3 months ago
002
This rule detects network communication attempts (connection success, request, or failure, or any traffic on port 443) targeting a specific malicious domain (notepadreleased.com) or IP address (85.158.110.78), while explicitly excluding common public DNS providers.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
407
This rule identifies network connections using deprecated, insecure TLS versions (TLS 1.0, 1.1) or weak cipher suites (RC4, 3DES, NULL). The use of these legacy cryptographic protocols is a security risk, as they are vulnerable to various attacks like man-in-the-middle, and may indicate misconfigured servers, legacy infrastructure, or attempts by an adversary to downgrade encryption to facilitate traffic interception or inspection.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
205
Detects anomalous access attempts to Netskope Private Access applications, specifically identifying connections from unmanaged devices, access occurring outside of typical business hours, or access from unusual/unexpected geographic locations.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
001
This rule detects high-frequency, potentially malicious network connections to external infrastructure using unencrypted legacy mail protocols (SMTP: 25, POP3: 110, IMAP: 143). This pattern is consistent with an adversary-in-the-middle (AiTM) attack, where an attacker intercepts email traffic—often following DNS hijacking—to relay and potentially decrypt or harvest credentials and session tokens from plaintext sessions.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
3 months ago
2011
KQL Query
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Montaser Ismail@M0nt3x
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Detections.ai Community
3 months ago
17070
This rule monitors DeviceNetworkEvents for outbound connections to specific known malicious IP addresses (31.97.137.157 and 46.183.25.232) on port 45000, or connections to the domain 'bet.slotgambit.com'. These indicators are consistent with command and control (C2) activity.
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Emiliano Mema@Nosalva
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Detections.ai Community
3 months ago
308
Detects a sequence of events where a user visits a known ClickFix Traffic Direction System (TDS) domain and subsequently executes an obfuscated 'curl' command via the Terminal application on macOS. This pattern is indicative of a ClickFix campaign where users are socially engineered into pasting malicious code snippets to resolve fake browser errors.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
6022
This rule detects network communication attempts (connection success, request, or failure, or any traffic on port 443) targeting a specific malicious domain (notepadreleased.com) or IP address (85.158.110.78), while explicitly excluding common public DNS providers.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
605
This rule monitors Zscaler Internet Access logs for high volumes of session activity, specifically detecting when a user exceeds a burst threshold of new session creations or consistently operates near the maximum allowed concurrent session limit within a 10-minute window. This behavior may indicate account compromise, automated credential stuffing, or abuse of access policies.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
000
This rule detects potential malicious activity associated with the 'ClickFix' technique, commonly linked to Midnight Blizzard. It identifies a sequence of events where a device attempts to resolve or fetch a 'wpad.dat' file (a common indicator of proxy configuration manipulation or man-in-the-middle attempts) followed shortly thereafter by the execution of 'powershell.exe' or 'mshta.exe' spawned from 'explorer.exe' on the same host within a 30-minute window. This pattern is indicative of a user being coerced into executing malicious scripts under the guise of fixing connectivity or security prompts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
8019
This rule monitors web browser URL click events for specific patterns (createssopasskey, addssopasskey) often used in vishing-lure campaigns. It identifies potential Adversary-in-the-Middle (AiTM) credential harvesting attempts by cross-referencing clicked URLs against an organization's approved SSO domain allowlist and verifying the presence of an internal referrer in the redirect chain. If a user clicks a suspect link that does not originate from a known internal source and points to an unauthorized external domain, the event is flagged.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
3010
Detects network connections to the localhost IP 127.0.0.1 on TCP port 23075 initiated by non-browser and non-VPN processes, excluding standard system binaries and protected paths. This pattern is commonly associated with SOCKS proxies, tunnelers, or malicious local communication channels used for C2 redirection.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
303
Detects a single masquerading Kimwolf v7 binary (netd_service, TVHelper, or libdevice.so running from a disguised com.n2.systemservice path) generating at least three distinct flood traffic patterns (UDP game-protocol flood, DNS query flood, or TLS/HTTPS flood) within a 60-second window, indicative of active multi-vector DDoS command execution.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
103
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