Detections

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

2,918 detections

Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
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Arnold Chan@slaz
Defender - KQL
1 month ago
003
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
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Arnold Chan@slaz
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Hunters
1 month ago
003
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
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Arnold Chan@slaz
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Hunters
1 month ago
000
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
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Arnold Chan@slaz
Defender - KQL
1 month ago
000
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
100
Sweeps Defender Advanced Hunting telemetry for known Sauron Loader indicators: 5 malicious SHA256 hashes (MSI installer, rnp.dll loader, tdwp.dll decrypter, embedded RSA private/public key blobs) across file/process/image-load events, plus 4 C2 domains and their full URLs across network and DNS telemetry. No IP indicators were published in the source reporting (C2 is domain-based over HTTPS) — the IP bucket is intentionally omitted rather than filled with placeholder data.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
100
Detects indicators of compromise related to the TraderTraitor (KelpDAO) threat actor, including specific file hashes, malicious process paths, C2 network infrastructure (IPs and domains), and malicious TLS certificates. The rule uses filename-path matching to reduce noise from legitimate macOS binaries.
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Arnold Chan@slaz
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SlimKQL
1 month ago
004
Detects the execution of the 'rnpkeys.exe' file from the 'C:\ProgramData\keyroll\' directory. The location and filename are highly atypical and could indicate unauthorized tool usage, potential persistence, or malicious activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
This rule monitors for file and process creation events associated with known MD5 and SHA256 hashes linked to the Vidar infostealer malware.
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Arnold Chan@slaz
Defender - KQL
1 month ago
204
This rule monitors for known malicious file hashes, IP addresses, C2 domains, and specific URL markers associated with identified threat activity. It consolidates multiple detection vectors including file activity, process execution, network connections, and DNS queries to identify compromised devices communicating with attacker-controlled infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
006
This rule detects potential malicious activity by correlating device events against a known set of malicious file hashes, domains, and URLs. It identifies files with known malicious hashes, network connections to known malicious domains, and command-line processes attempting to download files from known malicious URLs using common living-off-the-land tools like PowerShell, curl, or wget.
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Arnold Chan@slaz
Defender - KQL
1 month ago
003
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
005
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
005
Detects known file hashes associated with SideCopy/ReverseRAT.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
004
This rule monitors for indicators of compromise (IOCs) associated with the threat actor SideCopy and their associated malware, such as ReverseRAT. It hunts for specific malicious SHA256 file/process hashes, connections to known malicious C2 infrastructure (IPs and domains), requests to known malicious URLs, and user interaction with these URLs via email clicks.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
004
This rule monitors for indicators of compromise (IOCs) associated with the threat actor SideCopy and their associated malware, such as ReverseRAT. It hunts for specific malicious SHA256 file/process hashes, connections to known malicious C2 infrastructure (IPs and domains), requests to known malicious URLs, and user interaction with these URLs via email clicks.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
Detects coordinated usage of 'xattr' to manipulate the com.apple.quarantine attribute and 'chmod' to grant executable permissions on sensitive macOS system or library paths. This behavior is indicative of an adversary attempting to bypass Gatekeeper or bypass execution restrictions on malicious payloads placed in system directories.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
205
Detects the presence of prompt-injection framing and malicious intent instructions within the first few lines of source code files. These strings are designed to deceive LLM-based SAST or code review tools into ignoring, misclassifying, or bypassing security analysis of malicious code.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects rundll32.exe executing a DLL from the ProgramData directory and subsequently establishing five or more outbound network connections to external IP addresses over non-standard ports (excluding 80 and 443) within a one-hour window. This behavior is indicative of a potential malware beaconing or data staging activity using a proxy binary to evade detection.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
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