Detections

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

1,252 detections

Identify network traffic based on target country
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
001
Amazon GuardDuty detects an Amazon EC2 instance or a container attempting to communicate with a black hole IP address.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
000
Amazon GuardDuty detects Command and control activity in Amazon EC2, AWS Lambda or Amazon EKS Runtimes.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
000
Detects a network connection initiated by "wordpad.exe" over uncommon destination ports. This might indicate potential process injection activity from a beacon or similar mechanisms.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0031
Yara rule that detects Voldemort backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
2 years ago
000
This YARA rule detects the Daolpu infostealer by identifying specific byte patterns related to its core functionalities. These functionalities include network communication, searching for sensitive files on the system, parsing Firefox configuration files, and collecting browser passwords and cookies. The rule requires all these distinct patterns to be present within a file to trigger a detection, aiming to reduce false positives.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
2 years ago
0031
Detects the execution of suspicious child processes from macOS installer package parent processes. This includes various scripting interpreters like osascript, JXA, and common network utilities like curl and wget, which can be abused during preinstall or postinstall phases of a package installation.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0031
This rule detects DNS queries to specific malicious domains associated with the GALLIUM threat group, as identified by Microsoft Threat Intelligence Center in December 2019. The rule specifically looks for Event ID 257 in the Microsoft-Windows-DNS-Server/Analytical log, where the queried domain name (QNAME) matches a predefined list of indicators.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0024
This rule identifies execution traces indicative of the XCSSET macOS malware. XCSSET is known to spread via Xcode projects and maliciously modify applications. The rule looks for specific command-line patterns involving 'curl' to suspicious URLs, 'osacompile' and 'plutil' interacting with user and group containers, and 'zip' archiving data from user and group containers. These activities suggest potential command and control communication, persistence mechanisms, and data staging/exfiltration by the malware.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1022
This rule detects the execution of a SILENTTRINITY stager by looking for the string 'st2stager' within the 'Description' field of process creation events. This string is typically found in the PE metadata of the stager executable, indicating its use.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1015
Detects the execution of suspicious child processes from macOS installer package parent process. This includes osascript, JXA, curl and wget amongst other interpreters
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects SILENTTRINITY stager dll loading activity
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects SILENTTRINITY stager use via PE metadata
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Yara rule that detects ChinaZ trojan.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
2 years ago
001
Yara rule that detects Linodas backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
2 years ago
000
Yara rule that detects LimeRAT backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
000
Yara rule that detects Krasue backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
000
Yara rule that detects Konni backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
000
This rule detects the Minodo backdoor by identifying a combination of specific byte patterns (YARA signatures) within executable files. These patterns correspond to functions responsible for generating system IDs, encrypting and sending data, gathering system information, copying payloads into memory, and executing payloads from temporary locations. The presence of all these patterns indicates the likely presence of the Minodo backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0028
This rule detects the GoodWill ransomware by identifying specific bytecode patterns related to file encryption, AES encryption routines, file system enumeration, and remote connection activities. The rule looks for a combination of these patterns within a file, indicating the presence of the ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
4 years ago
0026
Yara rule that detects GoodWill ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
4 years ago
000
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