Detections

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

4,866 detections

Detects HTTP GET requests to external services 'trycloudflare.com' or 'workers.dev' that return a file content starting with the 'MZ' and 'PE' header signatures within the first 256 bytes, indicating a Windows executable payload download often associated with AvisLoader activity.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Matches known SHA-256 hashes of AvisLoader toolkit components recovered from an exposed staging server: the Windows loader client, UAC-bypass helper, and process-hiding DLL
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Matches known SHA-256 hashes of AvisLoader toolkit components recovered from an exposed staging server: the Windows loader client, UAC-bypass helper, and process-hiding DLL
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects AvisLoader Windows loader requiring both decoy non-executable packer-named sections and an embedded c-toxcore developer build path to co-occur in a valid PE
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Detects AvisLoader Windows loader requiring both decoy non-executable packer-named sections and an embedded c-toxcore developer build path to co-occur in a valid PE
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects AvisLoader Windows loader requiring both decoy non-executable packer-named sections and an embedded c-toxcore developer build path to co-occur in a valid PE
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects the execution of the KRSID ransomware binary, which is written in Rust. The rule identifies the malware based on its unique file extensions, ransom note filenames, specific command-line arguments, log file indicators, and compiled code characteristics.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects file hash hits matching known malicious IOCs or network connections to suspicious domains/URLs.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
Detects HTTP traffic originating from curl user agents attempting to communicate with known MacSync Stealer command-and-control URI patterns, specifically targeting GET check-in requests and POST payload exfiltration requests.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects the creation of specific file artifacts and process execution associated with the PIVOTPIPE .NET loader. The rule monitors for the creation of temporary working directories prefixed with 'nb_' in '\Windows\Temp\', the staging of associated configuration and payload files (such as 'agent.json', 'pk.der', 'sleepmask.o', 'core.pak'), and the execution of associated process names like 'netbeacon_pivot.exe', 'pivot_hop2_kasp.exe', or 'x64beacon.exe'.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
Detects the creation or modification of known PIVOTPIPE loader artifacts, specifically the 'sleepmask.o' file and related configuration or helper files ('agent.json', 'pk.der', 'core.pak'), within temporary directories prefixed with 'nb_' under the Windows Temp folder. These files are used by the PIVOTPIPE loader to implement sleep-masking techniques that encrypt beacon memory during dormant periods to evade detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
Detects the execution of known PIVOTPIPE beacon binaries by matching against specific file names and SHA256 hashes. These binaries are associated with post-exploitation activities and internal network pivoting.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
Detects the execution of known PIVOTPIPE RAT binary files based on their SHA256 hashes or file names. PIVOTPIPE RAT is capable of token manipulation and impersonation techniques (e.g., ImpersonateLoggedOnUser, DuplicateTokenEx) to perform privileged operations or escalate security context.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
This rule detects network connections from monitored devices to known cryptomining pool IP addresses and domain names. It monitors DeviceNetworkEvents for indicators of compromise (IOCs) associated with cryptomining activities, identifying potential resource hijacking on internal endpoints.
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Arnold Chan@slaz
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Hunters
1 month ago
105
This rule detects network connections from monitored devices to known cryptomining pool IP addresses and domain names. It monitors DeviceNetworkEvents for indicators of compromise (IOCs) associated with cryptomining activities, identifying potential resource hijacking on internal endpoints.
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Arnold Chan@slaz
Defender - KQL
1 month ago
005
Detects a suspicious Node.js process pattern characterized by the execution of 'sharedLoad.min.js' or detached child processes, followed by rapid outbound network communication to known messaging platforms (Slack, Telegram). This behavior is indicative of the indexed-btree malware family, which exfiltrates host fingerprint data including architecture, hostname, and system metrics.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
Detects DNS queries indicative of OAST (Out-of-Band Application Security Testing) infrastructure usage by the LucidPawn dropper, specifically targeting domains associated with dnslog.ink and digimg.store. This pattern suggests potential beaconing or exfiltration attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects DNS queries indicative of OAST (Out-of-Band Application Security Testing) infrastructure usage by the LucidPawn dropper, specifically targeting domains associated with dnslog.ink and digimg.store. This pattern suggests potential beaconing or exfiltration attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects DNS queries indicative of OAST (Out-of-Band Application Security Testing) infrastructure usage by the LucidPawn dropper, specifically targeting domains associated with dnslog.ink and digimg.store. This pattern suggests potential beaconing or exfiltration attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detection of known Cloudflare Workers subdomains used as dead-drop resolvers for C2 communication by the QUICSILVER QUICAgent malware. The rule monitors for specific DNS queries to resolve these domains and subsequent HTTP GET requests used to retrieve C2 instructions.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects instances where PowerShell scripts are executed via the Windows Task Scheduler from within potential staging directories (ProgramData with randomized folder names). The rule identifies execution that uses common PowerShell obfuscation flags (e.g., -EncodedCommand) and requires secondary hardening bypass flags (e.g., -WindowStyle hidden), followed by correlated network activity to a specific suspicious C2 domain.
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Arnold Chan@slaz
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Hunters
1 month ago
002
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