Detections

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

4,866 detections

This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
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Arnold Chan@slaz
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Hunters
1 month ago
903
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects the creation, modification, or execution of known malicious files associated with the Kimsuky threat actor, based on a static list of MD5 hashes observed in their campaigns.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
103
This rule monitors DeviceNetworkEvents and DnsEvents for any network connection attempts or DNS queries directed towards the known malicious domain 'hyundaiservisiankara.com'. This pattern is indicative of a host attempting to communicate with an external C2 infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
103
This rule detects network connections to known cryptomining pool IP addresses and domain names, as well as file or process executions matching specific hashes associated with known miner samples. It monitors for communication to command-and-control (C2) servers potentially used for cryptomining operations.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
001
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
001
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
101
Detects outbound HTTP POST requests to the 'vpugy.vcqi' domain, which is associated with RevStealer malware exfiltration. The rule specifically looks for traffic using a spoofed Chrome/147 user-agent and specific cookie artifacts used for session tracking in the exfiltration communication.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects non-browser processes accessing sensitive browser credential stores (e.g., Login Data, Cookies) and cryptocurrency wallet files within a short time window. This pattern is characteristic of infostealer malware like Vidar, which grabs browser and wallet data for exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the custom ARX-based stream cipher used by Vidar Stealer (v2.2+) to encrypt strings and configuration data. The rule identifies the presence of specific FNV-1a and golden-ratio constants used for state initialization, in combination with unique, per-build keystream constants observed in recent variants.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the presence of known Vidar Stealer malware binaries (internal build versions 2.0 through 3.4) by matching their SHA256 file hashes. Vidar is an infostealer malware typically used to exfiltrate sensitive data from victim systems.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the presence of a specific Russian-language error string ("Не удалось сгенерировать HWID") within binary files, which is characteristic of the HWID generation mechanism used by Vidar Stealer malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the presence of PIVOTPIPE .NET loader components within files by searching for specific magic bytes, debug strings, hardcoded developer file paths, and agent-related operational strings.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects the presence of ZigCryptoStealer malware deployed via a NativeAOT-compiled Windows executable. The detection relies on identifying specific hardcoded infrastructure strings, such as a BNB Smart Chain RPC endpoint and a specific contract address used to resolve C2 domains. It also looks for common sideloading hosts associated with the malware's delivery.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects HTTP responses containing keywords associated with ClearFake campaigns hosted on Cloudflare Workers. These pages are typically designed to trick users into downloading malicious files by displaying fake browser verification or captcha pages.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects evidence of the PIVOTPIPE .NET loader attempting to disable AMSI scanning. The detection focuses on activity related to patching the 'AmsiScanBuffer' function within 'amsi.dll', specifically identifying the use of the hex signature '80070057' or direct references to the function name, which is an indicator of an AMSI bypass attempt performed to facilitate malicious code execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects malicious JavaScript/npm payloads that attempt to evade static analysis and string-based detection signatures by dynamically reconstructing sensitive strings at runtime using V8 string-object construction or obfuscated string tables.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
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
1 month 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
1 month 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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Detections.ai Community
1 month ago
002
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