Detections

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

5,156 detections

Detects processes making HTTP/HTTPS requests to localhost on ports 40341 or 40342 for '/metadata'. This pattern can indicate local service discovery, inter-process communication, or potentially malicious activity attempting to interact with local services, possibly for credential access or privilege escalation.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
7086
This rule detects suspicious activity involving the WebDAV client, specifically looking for scenarios where WebDAV connections to public IPs are initiated from a process that has recently modified the RunMRU registry key to include WebDAV parameters and executables like 'cmd' or 'net use', and has also accessed clipboard data. This combination of behaviors suggests potential credential theft or lateral movement attempts using WebDAV.
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Steven Lim@KQLWizard
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SlimKQL 2026
8 months ago
720452
Detects network communication to known MicroStealer C2 domains or Discord webhook activity with a 'MicroStealer/1.0' user agent. This rule identifies potential MicroStealer malware activity within the network.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
280423
Detects DNS queries to Solana RPC endpoints associated with GlassWorm/ForceMemo blockchain-based C2. The malware queries up to 9 Solana RPC endpoints to retrieve C2 instructions from on-chain transaction memos. A Python process resolving any of these domains is anomalous outside of cryptocurrency development environments.
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Tim Peck@timpeck
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SecOps Signals
8 months ago
40151
Detects network traffic matching the specific URI structure used by LeakNet for command-and-control beaconing. This behavior has been consistently observed across multiple LeakNet incidents following initial access.
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Elgonad .@elgonad
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Detections.ai Community
8 months ago
3061
This rule detects network connections or email URLs that contain domains associated with the 'ShinyHunters' threat group's infrastructure. The rule specifically looks for a predefined list of domains known to be used by ShinyHunters for phishing or other malicious activities. It correlates email URL information with device network events to identify potential compromise attempts.
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Steven Lim@KQLWizard
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SlimKQL 2026
8 months ago
1051818
Detects network traffic to known VOID#GEIST C2 domains hosted on TryCloudflare, or the specific command-line execution of `curl.exe` used to send a 'status=success' beacon. This activity confirms a successful compromise by the malware.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
8 months ago
9091
This rule detects when a user clicks on a URL that contains a domain identified as malicious. The rule specifically looks for `UrlClickEvents` where the extracted domain from the URL matches any of the domains listed in the `malicious_domains` array. This can indicate a successful phishing attempt or an accidental click on a known malicious link.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
241176
This detection identifies network requests matching a URL pattern used by the Coruna iOS exploit kit to deliver encrypted binary payloads. The framework generates resource URLs using a 40-character hash and serves them as files ending in ".min.js".
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
8 months ago
6098
Correlates phishing email delivery with subsequent communication to attacker-controlled domains.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
7094
Detects network connections to domains identified as being part of the DarkSword iOS exploit kit delivery or command-and-control infrastructure. The DarkSword exploit kit is actively being used by multiple threat actors (UNC6353, UNC6748, PARS Defense) to target iOS users.
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Elgonad .@elgonad
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Detections.ai Community
8 months ago
1053
Detects HTTP/HTTPS traffic where the User-Agent string is explicitly set to 'MicroStealer/1.0', which is used by the malware when communicating with Discord webhooks or its C2.
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Tim Peck@timpeck
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Detections.ai Community
8 months ago
110148
This rule detects network connections to specific deep link patterns associated with messaging applications like Telegram, WhatsApp, and Signal. Such deep links can be used in phishing attempts or to initiate actions on a user's device through these applications.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
140176
This rule detects network connections to a specific Discord webhook URL and another suspicious domain (78smp.com/m/). This pattern is often associated with malware attempting to exfiltrate data or establish command and control (C2) via Discord webhooks, or other suspicious domains.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
150113
This rule detects network connections to specific IP addresses and ports (1259, 1269) via UDP, or the presence of a file with a specific SHA256 hash. This combination could indicate command and control (C2) communication or data exfiltration using a custom UDP protocol.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
7073
Detects network connections to a specific suspicious IP address (94.156.181.89) or to domains associated with Cloudflare Tunnel (.trycloudflare.com). This could indicate command and control activity, data exfiltration, or other malicious network communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
110129
This rule detects network connection events and Entra ID sign-in events originating from Iran. It aggregates these events hourly to identify potential suspicious activity from a geo-restricted or high-risk country.
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Steven Lim@KQLWizard
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SlimKQL 2026
8 months ago
951675
This rule detects the presence of Phoenix malware by identifying known SHA256 hashes of its components or network connections to its command and control (C2) infrastructure. It correlates file events with known malware hashes and network events with known C2 IP addresses.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
8051
This rule detects the presence of Blackbeard malware by identifying known SHA256 hashes of its components or network connections to its known C2 infrastructure. It correlates file events with specific hashes and network events with specific remote IP addresses.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
5049
Detects the C2 communication of the Slopoly PowerShell backdoor, used by the Hive0163 group. It looks for specific HTTP POST requests containing a JSON body with characteristic keys.
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Elgonad .@elgonad
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Detections.ai Community
8 months ago
2076
This query detects multiple TTPs associated with the Storm-2561 campaign that uses SEO poisoning to distribute fake VPN clients for credential theft. It looks for known file hashes, a specific code-signing certificate, malicious DLL side-loading and C2 communication patterns.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
130175
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