Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,989 detections
Filters
Last updated
All Time
Detection languages
1,774
868
397
195
188
Contributors
1,070
924
756
221
96
Categories
2,448
1,307
1,164
785
713
Platforms
2,415
1,310
658
528
133
Products / Services
1,307
886
808
561
337
MITRE Techniques
18,128
15,650
12,597
8,408
6,235
3,989
CVEs
6
5
5
5
5
IDS Classtypes
564
275
11
8
6
IDS Protocols
537
174
64
64
12
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
This rule detects network connections and DNS queries directed towards specific malicious domains or domains matching a pattern hosted on pages.dev, a service frequently abused for hosting malicious infrastructure such as phishing pages or command-and-control beacons.
This rule monitors DeviceNetworkEvents and DnsEvents for connections to known malicious domains and IP addresses associated with phishing campaigns. It alerts on any network communication or DNS resolution attempt targeting these indicators, providing visibility into potential user interaction with phishing infrastructure.
Detects instances where a single process on a device communicates with two or more distinct hosted LLM provider APIs (OpenAI, Anthropic, DeepSeek, Google) within a 24-hour window. This behavior is indicative of multi-model orchestration or 'consensus' techniques, which may be employed by sophisticated implants for automated tasking, data processing, or evasion.
Detects instances where a single process on a device communicates with two or more distinct hosted LLM provider APIs (OpenAI, Anthropic, DeepSeek, Google) within a 24-hour window. This behavior is indicative of multi-model orchestration or 'consensus' techniques, which may be employed by sophisticated implants for automated tasking, data processing, or evasion.
This rule monitors DeviceNetworkEvents and DnsEvents for any network connection attempts or DNS queries directed towards the known malicious domain 'hyundaiservisiankara.com'. This pattern is indicative of a host attempting to communicate with an external C2 infrastructure.
This rule detects network connections to known cryptomining pool IP addresses and domain names, as well as file or process executions matching specific hashes associated with known miner samples. It monitors for communication to command-and-control (C2) servers potentially used for cryptomining operations.
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
Detects outbound network traffic from internal hosts directed toward identified Exvicy command-and-control (C2) infrastructure IP addresses. This includes both general beaconing attempts and established TLS handshake sessions potentially linked to post-ClickFix malicious activity.
Detects HTTP POST requests directed to the '/api.php' endpoint with specific patterns characteristic of Exvicy/ClickFix malware C2 communication. The rule identifies suspicious action parameters (check, dl, or cb) and a specific 48-character hexadecimal 'k' parameter used for identifying infected state.
Detects outbound network traffic from internal hosts to a domain associated with the VelvetCake fileless malware variant. The rule specifically looks for HTTP requests to 'p1o2i3u4y5t6r7e8w9q0.medianewsonline.com' using specific login parameters ('Areyou=cake', 'OKey=', 'Who='), which is indicative of command and control activity linked to the Konni actor group.
Detects outbound HTTP POST requests to the 'vpugy.vcqi' domain, which is associated with RevStealer malware exfiltration. The rule specifically looks for traffic using a spoofed Chrome/147 user-agent and specific cookie artifacts used for session tracking in the exfiltration communication.
Detects execution of PowerShell commands indicative of the VelvetCake variant of the Konni malware. The rule identifies the use of 'Net.WebClient.DownloadString' combined with 'Invoke-Expression' (iex) to execute scripts in memory, alongside specific command-line indicators such as the 'Areyou=cake' campaign marker or associated C2 domains.
Hunts network, HTTP, and email-URL telemetry for known ARToken infrastructure (operator backend IPs and phishing/panel domains). Bounded to a 30-day lookback and tiers matches by confidence: domain hits are high-confidence (attacker-registered infrastructure), while IP hits are medium-confidence since the IPs sit on shared DigitalOcean hosting that can be reassigned to unrelated tenants once ARToken's infrastructure is taken down. Empty/unparsed indicator fields are excluded to avoid spurious matches in the HTTP event parsing branch. No known file hashes are associated with this intel.
This rule detects the presence of ZigCryptoStealer malware deployed via a NativeAOT-compiled Windows executable. The detection relies on identifying specific hardcoded infrastructure strings, such as a BNB Smart Chain RPC endpoint and a specific contract address used to resolve C2 domains. It also looks for common sideloading hosts associated with the malware's delivery.
Detects outbound network traffic from internal hosts to known PIVOTPIPE-associated infrastructure, including attempts to access open directories for payload distribution and suspected Cobalt Strike command-and-control communications.
Detects network traffic associated with the GHAPPIER campaign using specific Vercel-hosted staging infrastructure. The rule monitors for requests to known malicious Vercel subdomains and identifying URI parameters often used for campaign tagging during beaconing or payload delivery.
Detects network traffic consistent with PIVOTPIPE command-and-control activity and potential Cobalt Strike beaconing to known malicious infrastructure on specific ports.
Detects network traffic associated with PIVOTPIPE Cobalt Strike beacon activity communicating with a known suspicious external IP address on port 8088. This includes generic TCP, HTTP-based beaconing, and TLS-encrypted C2 sessions.
Page 42 of 190


