Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

61,046 detections

This rule detects the creation of named pipes with names that match default or commonly customized patterns used by Cobalt Strike Beacons for inter-process communication (IPC) and lateral movement. The detection specifically targets common pipe naming conventions such as those starting with 'msagent_', 'MSSE-', 'postex_', 'status_', and 'mypipe-', which are frequently observed in Cobalt Strike configurations.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects the creation of new system services using EventID 7045 where the ImagePath points to suspicious temporary directories, administrative shares (ADMIN$), or utilizes randomly generated service names. This pattern is commonly associated with PsExec-style lateral movement and ransomware staging.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
002
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
002
Detects anomalous DNS traffic patterns indicative of DNS tunneling, which is often used for command-and-control (C2) communication or data exfiltration. The rule identifies suspicious indicators such as abnormally long subdomain labels (potentially containing encoded payloads), misuse of TXT or NULL record types for data transport, and high-frequency queries to a single apex domain, while excluding common CDN providers to reduce false positives.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
002
Detects high-risk AWS IAM privilege escalation activities, such as attaching AdministratorAccess policies, creating new access keys, roles, or users, occurring shortly after a suspicious sign-in event (e.g., impossible travel or new device login with MFA) for the same principal.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects process and file creation activity matching known MovieReaper loader and downstream module file hashes (MD5/SHA256). C2 IP/domain network indicators for this campaign require a separate network_connection-category rule, since Sigma logsource categories cannot be mixed within a single rule.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
107
Detects outbound HTTP requests to the Telegram Bot API associated with the malicious 'indexed-btree' npm package. The rule specifically monitors for hardcoded Telegram bot tokens and chat IDs used for data exfiltration.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects instances where the system DNS process (dns.exe) on a domain controller performs recursive DNS resolution towards a set of external IP addresses associated with suspicious infrastructure (AS202412). The rule correlates this activity with recent network connections from common web browsers or system utilities (msedge.exe, svchost.exe) on the same host to identify potential proxying of malicious DNS queries.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
001
This rule detects HTTP GET requests to a specific GitHub repository path (raw.githubusercontent.com/omskiwdcvoiuyfd0998/) identified as staging infrastructure associated with Konni/VelvetCake malware operations. This activity is indicative of a compromised host attempting to download malicious payloads or stage tools from actor-controlled infrastructure.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Detects specific command-and-control (C2) communication patterns associated with the VelvetCake malware. The rules identify initial authentication with a hardcoded password string, module enumeration requests, and session termination signals transmitted over TCP.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
002
Detects Microsoft Exchange Control Panel (ECP) worker process (w3wp.exe) spawning suspicious child processes (e.g., cmd.exe, powershell.exe, mshta.exe) that are commonly associated with the exploitation of CVE-2020-0688. This vulnerability involves unsafe deserialization within the Exchange ECP ViewState handling, which allows an attacker to execute arbitrary code with SYSTEM privileges.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
008
Detects instances where the PaperCut application server process (pc-app.exe) or its underlying Java processes (javaw.exe or java.exe) spawn command-line interpreters such as cmd.exe or powershell.exe. This behavior is indicative of potential post-exploitation activity, specifically Remote Code Execution (RCE) via vulnerabilities targeting PaperCut servers.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
108
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
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Arnold Chan@slaz
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Hunters
1 month ago
000
This rule detects a suspicious sequence of events where a process related to Electron (a framework often used for cross-platform desktop applications) executes a hidden, obfuscated PowerShell command, followed by a subsequent PowerShell command to modify Microsoft Defender settings by adding an exclusion path for the 'AppData' directory within 10 minutes of the first process.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over a rolling 30-day window for known RevStealer indicators: exact SHA-256 matches against all 13 published file hashes, and exact-host matches (via parsed URL host, not substring) against the confirmed C2 domain meta7.archscreen68.one. An empty, extensible IP list is included for when a malicious IP is published.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over a rolling 30-day window for known RevStealer indicators: exact SHA-256 matches against all 13 published file hashes, and exact-host matches (via parsed URL host, not substring) against the confirmed C2 domain meta7.archscreen68.one. An empty, extensible IP list is included for when a malicious IP is published.
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Arnold Chan@slaz
Defender - KQL
2 months ago
002
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