Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects NeedyMantis' initial C2 beacon: an HTTP GET to /library/zip/ on port 443, anchored to the URI root, carrying a client-originated 'Set-Cookie:' header (clients normally send 'Cookie:', never 'Set-Cookie:' -- this direction reversal is the core anomaly and is near-impossible for legitimate traffic) alongside an explicit 'Upgrade: websocket' header. Matching the literal header text (not just header-name presence) and anchoring the URI removes generic WebSocket apps and any unrelated path containing '/library/zip/' as a substring.
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.
Detects anomalous outbound lateral movement attempts where a single source host initiates WinRM connections (ports 5985/5986) to an unusually high number of distinct destination hosts within a short timeframe, which is often indicative of automated credential propagation or internal scanning by an adversary.
This rule monitors firewall logs for internal RDP (port 3389) connection attempts from a single source host to multiple destination hosts within internal address ranges. This pattern of sequential connectivity is often indicative of automated internal reconnaissance or lateral movement scanning using RDP.
Detects unauthorized processes attempting to access the cloud instance metadata service (169.254.169.254). Adversaries frequently target this endpoint to extract sensitive instance information, such as IAM credentials or configuration data, typically as part of post-exploitation discovery or SSRF-based attacks.
This rule detects potential DNS tunneling or beaconing activity by monitoring DNS queries for patterns commonly associated with command and control traffic. It flags anomalous DNS behavior including excessively long query strings, usage of TXT or NULL record types, frequent NXDOMAIN responses, or high volumes of such queries from a single host, which are indicative of data exfiltration or C2 communication via the DNS protocol.
Detects a single source IP address attempting to connect to multiple hosts over TCP port 3389 (RDP) within a short timeframe (10 attempts in 60 seconds). This behavior is indicative of a host scanning the network for accessible RDP services, a common precursor to lateral movement or brute force attacks.
Sweeps Defender Advanced Hunting telemetry for known Sauron Loader indicators: 5 malicious SHA256 hashes (MSI installer, rnp.dll loader, tdwp.dll decrypter, embedded RSA private/public key blobs) across file/process/image-load events, plus 4 C2 domains and their full URLs across network and DNS telemetry. No IP indicators were published in the source reporting (C2 is domain-based over HTTPS) — the IP bucket is intentionally omitted rather than filled with placeholder data.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
This rule detects potential DNS tunneling or DNS-based command and control (C2) beaconing. It analyzes DNS query logs for characteristics typical of C2 traffic, such as high subdomain entropy, frequent use of TXT or NULL records, and a high volume of unique subdomains originating from a single source IP address within a 5-minute window.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
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.
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 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 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.
This rule detects potential lateral movement activity by identifying the execution of PsExec service components or common lateral movement tools (PsExec, WMIC, CMD) interacting with Windows administrative shares (via UNC paths or specific network ports 135, 139, 445). It specifically looks for process creation events associated with these tools and network activity indicative of remote administration. Legitimate administrative tools signed by Microsoft or known management software (SolarWinds, Tanium, Ivanti, IBM BigFix) are explicitly excluded.
Detects automated HTTP GET requests directed at government or council calendar endpoints (specifically targeting mgCalendarMonthView or GetMeetings parameters) using a common generic User-Agent. This behavior is indicative of an automated scripted client potentially using public infrastructure as a Command and Control (C2) relay.
This rule monitors for two related scenarios targeting the RubyGems legacy API-key endpoint. First, it identifies suspicious responses indicating an API key might have been served from a CDN cache, potentially leading to cross-user credential leaks. Second, it flags a high volume of requests to the same endpoint using gzip compression, which is a known technique associated with edge-cache poisoning attacks.
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