Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a multi-stage social engineering chain attributed to TA419. The activity begins with a benign trust-building email from specific domains or addresses, followed by a subsequent email to the same recipient containing a link to a known URL shortener or redirector, indicating a potential AitM phishing sequence.
This rule detects outbound network connections directed at a known IP address associated with Akira ransomware infrastructure. The rule specifically monitors for communication with 64.227.4.134, which has been identified as a C2 node utilizing GOST tunnels. This behavior is indicative of established C2 connectivity by Akira ransomware actors.
Hunts telemetry for published NeedyMantis indicators: three known SHA-256 hashes (WinSparkle.dll first-stage loader and its encrypted archive, plus the older libcurl archive), the C2 domain corp.tripswithengine[.]com, and the C2 URL path /library/zip/ on that domain. Domain/URL matching parses the actual host out of RemoteUrl and requires an EXACT match (not substring 'has/contains'), so a different domain that merely contains 'corp.tripswithengine.com' as a suffix of a longer label (e.g. 'notcorp.tripswithengine.com') or as a prefix of an unrelated domain (e.g. 'corp.tripswithengine.com.evil.net') cannot match. No malicious IP address has been published for this campaign, so IP-based matching is intentionally not included.
This rule performs a retrospective hunt for indicators of compromise (IOCs) associated with the ClosedQuorum malware. It identifies suspicious activity by matching against known file hashes, specific filenames, and network traffic directed towards services (such as DeepSeek, OpenRouter, Mistral, and Discord) which the malware uses for C2 or data exfiltration. The detection logic aggregates results from file system, process, and network telemetry.
Detects outbound HTTP requests to a known C2 domain (letsdiskuss.com) and a specific URI path, characteristic of the 'Lorem Ipsum' malware loader's dead-drop resolver lookup.
Detects activity associated with the MALFEX npm supply-chain campaign (also known as Overlord/movinlike). This rule performs a sweep for known malicious file hashes, suspicious process command lines, outbound network connections to malicious domains or IPs, and email communications from identified adversary-controlled accounts.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the DragonForce TURN/MQTT campaign, as detailed in Lab52 threat research. It monitors for file and process activity matching known malicious hashes, as well as network connections to specific domains and URLs associated with the campaign's command-and-control infrastructure.
This rule monitors for indicators of compromise (IOCs) associated with known malware and C2 infrastructure, including specific IP:port combinations, malicious domains, URLs for file downloads, and SHA256 hashes of known malware. The rule correlates data across device network events, file events, and process execution events to identify potential infections or communication with malicious infrastructure.
This rule detects network communication with known malicious infrastructure (C2 IPs and URLs), presence of malicious files identified by SHA256 hashes on disk, and execution of known malicious files. It also correlates these activities with specific operator email addresses involved in the malicious campaign.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
This rule detects incoming phishing emails that use specific financial or payment-related lures (e.g., 'eft wire transfer', 'invoice receipt') in the subject line or body to entice users into clicking a link that points directly to an executable file, often disguised as a document.
Detects P7 DarkSword implant C2 beaconing: HTTP/1.0 JSON POSTs to /beacon, /event or /a with the hardcoded iPhone OS 18_5 Safari 18.5 User-Agent. Requires the full combination of protocol version, method, URI, UA and content type, and alerts only after 3 matching requests from one source within 120 seconds (detection_filter) to suppress one-off matches.
Correlates ARTEX tool artifacts on a device with that device contacting the ARTEX host, xcai.pro, or the DeepSeek API within 24 hours.
Detects potential AiTM or credential harvesting campaigns where a device visits known lure or redirect paths (such as specific domains or workers.dev paths) and subsequently accesses the Microsoft device code authentication page within a 15-minute window.
Detects potential AiTM or credential harvesting campaigns where a device visits known lure or redirect paths (such as specific domains or workers.dev paths) and subsequently accesses the Microsoft device code authentication page within a 15-minute window.
Detects a multi-stage social engineering chain attributed to TA419. The activity begins with a benign trust-building email from specific domains or addresses, followed by a subsequent email to the same recipient containing a link to a known URL shortener or redirector, indicating a potential AitM phishing sequence.
This rule monitors endpoint telemetry for indicators of compromise (IOCs) associated with known malicious activity. It checks for file creation, process execution, and network connections that match a defined list of malicious file hashes (SHA256, SHA1, MD5), C2 IP addresses, and malicious domains or URL patterns.
Detects outbound network traffic associated with the Azazel operation, including connections to identified C2 infrastructure, open directory/upload listeners, domain-specific staging servers, and exfiltration attempts to MEGA cloud storage endpoints.
Detects potentially malicious use of rundll32.exe by monitoring for execution from suspicious directory paths (e.g., Temp, AppData, Downloads), execution with arguments missing common legitimate entry points, unexpected network connections originating from rundll32.exe, or rundll32.exe spawning child processes (excluding known safe binaries like conhost.exe or werfault.exe).
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