Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,156 detections
Filters
Last updated
All Time
Detection languages
2,302
1,070
640
289
288
Contributors
918
814
769
696
224
Categories
20,456
11,839
5,877
5,156
4,865
Platforms
2,859
2,017
816
524
213
Products / Services
1,337
1,144
831
576
366
MITRE Techniques
1,823
1,307
787
747
577
CVEs
9
7
7
6
6
IDS Classtypes
538
151
101
57
48
IDS Protocols
375
373
132
64
42
Detects network requests to the Gitea Prometheus metrics API that contain 'k=' and 'x=' query parameters, a pattern indicative of a C2 command channel disguised as legitimate telemetry traffic.
Detects TLS connections using suspicious certificates identified as belonging to the SilkParasite threat actor. The rule monitors for specific certificate issuer strings paired with either malicious subject domain patterns (targeting Central Asian entities) or specific JA4X fingerprints associated with known malicious activity.
Detects TLS connections using suspicious certificates identified as belonging to the SilkParasite threat actor. The rule monitors for specific certificate issuer strings paired with either malicious subject domain patterns (targeting Central Asian entities) or specific JA4X fingerprints associated with known malicious activity.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
This rule detects outbound network connections from internal devices to a list of known malicious IP addresses associated with adversary command and control infrastructure. The rule specifically monitors connections over common ports, potentially indicating established communication with malicious servers.
This rule detects network connections to a list of known lookalike domains or specific indicators (a payload GUID and a URI hash) associated with suspicious activity. It uses a time-based aggregation to identify hosts interacting with multiple suspicious domains or both specific payload indicators, suggesting potential C2 activity or a targeted phishing/malware delivery campaign.
This rule detects HTTP requests directed at Microsoft Exchange Outlook Web Access (OWA) that contain suspicious 'fakePath' and 'fakePageName' parameters in the URI. These parameters are indicators of the 'GhostContainer' malware attempting to establish a socket forwarding proxy through the web server to facilitate command and control communications.
This rule detects HTTP requests directed at Microsoft Exchange Outlook Web Access (OWA) that contain suspicious 'fakePath' and 'fakePageName' parameters in the URI. These parameters are indicators of the 'GhostContainer' malware attempting to establish a socket forwarding proxy through the web server to facilitate command and control communications.
Bigbear V2 Ioc Hunt
Sigma
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
BigBear 2.0 IOC HUNT (Cortex XDR)
Cortex XDR
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
BigBear 2.0 IOC HUNT (Cortex XDR)
Cortex XDR
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
Page 63 of 246

