Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential DNS tunneling or command-and-control (C2) traffic by identifying abnormally long DNS query names, which often indicate encoded data channels, and suspicious usage of TXT or NULL DNS records, which are frequently used by tools like Cobalt Strike, dnscat2, and iodine for C2 communication.
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.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects specific markers in UDP traffic on ports 3478, 5349, and 443 that are associated with the DragonForce malware's TRN1 C2 beaconing protocol. The rules identify session initiation, task polling, task acknowledgment, and result uploading behaviors.
Detects specific markers in UDP traffic on ports 3478, 5349, and 443 that are associated with the DragonForce malware's TRN1 C2 beaconing protocol. The rules identify session initiation, task polling, task acknowledgment, and result uploading behaviors.
This rule performs a retrospective sweep across Microsoft Defender XDR data sources (DeviceFileEvents, DeviceProcessEvents, DeviceNetworkEvents, and EmailEvents) to identify activity associated with the Star Blizzard (COLDRIVER) campaign. It monitors for specific file hashes, file names, known C2 IP addresses and domains, malicious URL patterns, and known phishing email sender addresses identified in threat intelligence reporting.
This rule performs a retrospective sweep across Microsoft Defender XDR data sources (DeviceFileEvents, DeviceProcessEvents, DeviceNetworkEvents, and EmailEvents) to identify activity associated with the Star Blizzard (COLDRIVER) campaign. It monitors for specific file hashes, file names, known C2 IP addresses and domains, malicious URL patterns, and known phishing email sender addresses identified in threat intelligence reporting.
Detects a sequence of potentially malicious activity targeting LLM-related API endpoints. The rule identifies a client IP performing rapid, distinct endpoint discovery, followed by a POST request to sensitive paths, and concluding with a spike in 5xx server-side errors, indicating potential exploitation attempts or fuzzing against Large Language Model interfaces.
This rule detects potentially compromised accounts by correlating risky Entra ID sign-ins to Citrix NetScaler with subsequent VPN session establishment followed by rapid, high-volume outbound connection activity from the source IP address. This pattern is indicative of a threat actor using compromised credentials to gain access via VPN and immediately perform internal network scanning or data staging.
This rule performs an indicator of compromise (IOC) hunt for artifacts related to the Lazarus Group's Graphalgo/GHAPPIER campaign. It monitors DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over the past 90 days to identify matches against known malicious file hashes (SHA256/SHA1), command-and-control (C2) IP addresses, and malicious domains associated with this campaign.
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 point-in-time sweep for known Indicators of Compromise (IOCs) associated with the NeedyMantis threat actor group. The detection logic searches for specific file, process, and image-load SHA256 hashes, communication with a known C2 domain (tripswithengine.com), and the use of a hard-coded user-agent string (Firefox/21.0) across various telemetry sources within the last 30 days.
Detects a suspected exploitation attempt of CVE-2024-21412. The rule identifies a chain of execution involving an internet shortcut (.url) masquerading as a common file type (e.g., .jpg.url), which subsequently opens another shortcut to a WebDAV/IP host. This sequence is used to bypass Mark-of-the-Web (MotW) protections and execute a malicious batch script and Rundll32 process.
Detects periodic, beacon-like network activity targeting public platforms such as Steam community profiles or Telegram (api.telegram.org / t.me) originating from suspicious processes (script interpreters, unsigned binaries). This behavior is characteristic of LummaC2 and similar malware families using public web services as dead-drop resolvers for C2 fallback communication.
Detects incoming HTTP POST requests to internal AI/LLM API endpoints containing common prompt injection strings, such as instructions to ignore previous system prompts or attempts to trigger jailbreak modes like 'DAN'.
Detects a suspicious two-stage browser activity sequence where a user accesses a Maze survey-builder lure (t.maze.co) followed by a navigation to a Cloudflare Workers subdomain hosting a spoofed Microsoft Authentication device-code phishing page. This pattern is indicative of a multi-stage phishing attack aimed at credential or device token theft.
Detects a single source IP initiating network connections to 50 or more distinct destination ports within a 60-second window, which is indicative of an automated port scanning sweep. The rule correlates individual connection events while excluding pre-defined allowlisted vulnerability scanners.
Detects a high volume of HTTP POST requests to common login endpoints (e.g., /login or /wp-login.php) from a single source IP address within a short time frame, which is indicative of a credential stuffing or automated brute-force attack.
This rule detects potential command and control (C2) beaconing activity by monitoring for high-frequency POST requests to OpenAI and Google Generative Language chat completion API endpoints. The rule triggers when a source host makes 5 or more requests within a 60-second window, which may indicate automated polling for commands or exfiltrated data transfer using legitimate LLM infrastructure.
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