Detections

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

2,918 detections

This rule performs a multi-source correlation (network, DNS, file, and process telemetry) to detect artifacts associated with the Coruna campaign. It looks for known malicious file hashes (SHA1), C2 IP addresses, and specific domain/URL patterns in process command lines and network connections.
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Arnold Chan@slaz
Defender - KQL
27 days ago
001
This rule identifies potential activity related to the Kothamine malware by monitoring for specific file hashes associated with the malware in process and file execution events, as well as network connections to a specific malicious GitHub repository path used for payload delivery.
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Arnold Chan@slaz
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Hunters
1 month ago
106
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
005
This rule detects activities associated with the Star Blizzard (also known as APT28 or Callisto) group's CosmicPulse malware, specifically the downloader and Python-based backdoor. It monitors for suspicious CPL file execution via UNC paths by rundll32.exe or control.exe, unauthorized modifications to the HKCU\Software\Classes\.mollis registry key used for COM hijacking, and anomalous spawning of Python executables from control host processes in user-writable directories.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
Detects Node.js or ProfileQuickHost processes performing file operations (read, write, rename) on sensitive browser directories, such as 'Local Extension Settings' or wallet-related folders. This pattern is commonly observed in credential-stealing malware attempting to extract browser-stored secrets or cryptocurrency wallet data.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
1 month ago
12027
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.
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Arnold Chan@slaz
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SlimKQL
1 month ago
104
This rule detects known-malicious activity associated with Warlock ransomware and the ToolShell malware campaign (linked to Storm-2603). It monitors for process, file, and image-load events matching identified malicious file hashes, as well as network connection attempts to known malicious domains and URLs. It also includes monitoring for traffic to 'oastify.com', a domain commonly used for Burp Collaborator, which requires correlation with other indicators to confirm malicious intent.
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Arnold Chan@slaz
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Midnight Slayer
28 days ago
001
This rule detects known-malicious activity associated with Warlock ransomware and the ToolShell malware campaign (linked to Storm-2603). It monitors for process, file, and image-load events matching identified malicious file hashes, as well as network connection attempts to known malicious domains and URLs. It also includes monitoring for traffic to 'oastify.com', a domain commonly used for Burp Collaborator, which requires correlation with other indicators to confirm malicious intent.
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Arnold Chan@slaz
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Hunters
28 days ago
001
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.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
104
This rule monitors for indicators of compromise (IOCs) associated with the Lunex Malware-as-a-Service (MaaS) campaign. It aggregates telemetry from file creation, process execution, and network connections to identify the presence of known malicious hashes, C2 IP addresses, phishing-related domains, and specific payload URLs.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
006
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
10015
Detects a suspicious pattern where a user authenticates to a remote access portal (like Citrix or VPN) without multi-factor authentication (MFA) or with an existing risk flag, followed by a surge in file activity (creation, modification, or renaming of >500 files or >200 distinct files) on the same account within a 24-hour window, potentially indicating compromised credential usage for staging data for exfiltration or ransomware.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
105
Detects instances where a file is downloaded or exfiltrated, followed by the deletion or alteration of its version history within a 7-day window. This behavior is consistent with post-theft activities aimed at obfuscating access logs or sanitizing stolen data by removing original versioning markers, often observed in insider threat or compromised account scenarios.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
305
Detects the use of certutil.exe to decode files located within directories associated with the MSSQL service account (e.g., AppData, ServiceProfiles). This behavior is characteristic of an attack chain where an adversary uses SQL Server's xp_cmdshell to stage and decode a malicious payload from a base64-encoded file.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
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.
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Arnold Chan@slaz
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Hunters
1 month ago
004
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
004
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.
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Arnold Chan@slaz
Defender - KQL
1 month ago
004
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
104
Detects Gamaredon (Armageddon) group activity characterized by Microsoft Office applications (winword.exe or excel.exe) writing to global template files (Normal.dotm or Personal.xlsb) to implant malicious macros, or dropping .vbs or .lnk files into startup or template directories to achieve persistence and facilitate further propagation.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
This rule performs a sweep across device file and process events to identify the execution or presence of files matching a curated list of 161 SHA256 hashes associated with twelve known malicious threat actors and families (Lynx, ANUBIS, Rhysida, LockBit, ALPHV/BlackCat, Qilin, Medusa, The Gentlemen, NetRunner, Genesis, Pay2Key, and Handala). The rule filters out events occurring in known EDR/AV quarantine or sandbox directory structures and dedupes hits on a per-device and per-hash basis within 24-hour windows to reduce alert noise.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
105
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