Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,247 detections
Filters
Last updated
All Time
Detection languages
690
140
94
67
56
Contributors
389
247
199
52
45
Categories
787
411
262
248
188
Platforms
836
265
264
169
66
Products / Services
498
157
148
133
115
MITRE Techniques
18,123
15,639
12,581
8,394
6,215
1,247
CVEs
4
3
2
2
2
IDS Classtypes
70
58
3
3
2
IDS Protocols
66
23
15
12
9
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.
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.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
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.
Detects anomalous execution or network activity involving a 'content.js' file in conjunction with specific proxy-related artifacts or authorization headers. This pattern is indicative of a malicious browser extension or script attempting to intercept or proxy web traffic and credentials.
Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
This rule identifies successful network connections from local devices to a predefined list of known malicious IP addresses within the last 7 days. Such connections often indicate active communication between a compromised endpoint and adversary-controlled infrastructure.
Detects high-frequency TLS sessions initiated from internal hosts to Microsoft identity, Graph API, and account management endpoints. This behavior often mimics legitimate interaction but may indicate an adversary rotating infrastructure, automating reconnaissance, or interacting with C2 channels disguised as legitimate SaaS traffic.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections originating from browser processes to known JeetBot command and control (C2) infrastructure. The rule identifies suspicious C2 communication and, specifically, attempts at token exfiltration by monitoring for auth tokens in the URL of requests directed to known JeetBot hosts and Twitch-related infrastructure.
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.
This rule detects the execution of a file named 'report.bin' and correlates it with subsequent network connections originating from the same process. This behavior is indicative of a potential C2 heartbeat or exfiltration activity involving a non-standard or obfuscated executable.
This rule identifies a discrepancy between actual network connections processed by HAProxy and the corresponding entries in its server-side logs. Such inconsistencies can indicate the presence of a malicious backdoor compiled into or injected into the HAProxy process, designed to facilitate C2 traffic while evading standard monitoring by suppressing or omitting logging for those connections.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
Detects the execution of Terraform commands (init, apply, plan) that interact with the 'registry.coder.com' domain, or direct network connections to the associated infrastructure. This may indicate the use of unauthorized or compromised Infrastructure-as-Code (IaC) modules or malicious supply chain activity involving Terraform configurations.
Detects network requests to Google Sheets API containing specific markers (-tk- or val-) in the request body, indicative of potential command and control (C2) communication patterns often associated with malware payloads using Google Sheets for data exfiltration or command retrieval.
Page 24 of 60