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Benjamin Zulliger

@benscha
Trusted contributorCompletionist
27 followers229 downloads1,629 copies143 likes20,855 views

55 detections

This rule detects suspicious Launch Daemons on macOS by looking for files created or modified in the `/Library/LaunchDaemons/` directory. It filters out known legitimate binaries and then flags any remaining files that have low global prevalence (less than 2500 instances) and were first seen more than 90 days ago. Additionally, it checks if the certificate is invalid or not signed by Microsoft, indicating potential malicious activity. This rule is intended for hunting and not for direct alerting due to the need for whitelisting.
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Benjamin Zulliger@benscha
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Detections.ai Community
10 months ago
391304
This rule detects PowerShell processes that are initiated by a LOLBAS binary and subsequently establish an outbound network connection to a public IP address. It leverages an external LOLBAS JSON data source to identify suspicious parent processes. This behavior could indicate an adversary using a Living Off The Land Binary or Script (LOLBAS) to execute PowerShell for malicious purposes, such as command and control or data exfiltration.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
996608
This rule detects suspicious scheduled tasks that execute binaries from the AppData\Local folder, which is a common location for user-specific applications and can be abused by adversaries for persistence. Such behavior is often used by Infostealer Malware. The rule specifically looks for processes initiated by 'svchost.exe' or 'taskeng.exe' with command lines indicating scheduled task execution, and then filters out a whitelist of known legitimate applications that operate from this directory. It also incorporates a global prevalence check to further reduce false positives.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
1354944
This rule detects when a domain or URL observed in Teams Messages matches a known threat intelligence indicator from Microsoft Defender Threat Intelligence. It specifically looks for hits against 'Domain' and 'URL' type indicators.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
802594
Detects the creation or modification of .plist files in macOS Launch Agent and Launch Daemon directories. This activity can be indicative of persistence mechanisms being established by adversaries. The rule excludes modifications by common system installers to reduce false positives.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
385357
This rule detects the creation or modification of files within specific macOS directories associated with LoginWindow hooks and Authorization Plugins. These locations are commonly abused by adversaries to establish persistence or elevate privileges by injecting malicious code that executes during the login process. The rule specifically looks for file events in '/Library/Security/SecurityAgentPlugins/', '/System/Library/CoreServices/SecurityAgentPlugins/', '/Library/Security/SecurityAgentPlugins.bundle', or any file activity within a 'loginwindow' path. It excludes activities initiated by legitimate installers and software updaters to reduce false positives. Additionally, it filters for files with low global prevalence, indicating potentially suspicious or custom binaries.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
204221
This rule detects the execution of unsigned or invalidly signed executable files from user-writable folders such as \Users\ or \ProgramData\. It specifically looks for process creation events where the initiating process's signature status is not 'Valid' and the SHA256 hash of the executable is not in a predefined whitelist. Additionally, it filters for executables with a global prevalence of less than 2500 and an unsigned signature state. This aims to identify potentially malicious or unauthorized software being run from locations where users typically have write permissions, bypassing standard software deployment and security controls.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
510433
This rule detects new device registrations in Azure Active Directory (AAD) that originate from an IP address not previously associated with the user's account within the last 29 days. It filters out registrations from corporate IP ranges and common mobile operating systems (iOS, Android) to reduce noise. The rule categorizes the risk level of the IP address based on historical sign-in counts, focusing on 'High Risk - New IP' events. It then enriches these events with additional sign-in details like device name, risk level during sign-in, country, and city.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
1649842
This rule detects suspicious, obfuscated PowerShell commands by analyzing the command line for long string literals with low character diversity and high frequency of a single character. It extracts strings enclosed in single quotes, double quotes, or backticks, and then calculates the ratio of distinct characters to total length and the ratio of the most frequent character's count to total length. If these ratios fall below and above certain thresholds, respectively, the command is flagged as suspicious.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
215547
This rule detects the presence of percent-encoded Bi-Directional (BiDi) control characters in URLs within network events. Specifically, it looks for '%E2%80%AE' (Right-to-Left Override - RLO), '%E2%80%8E' (Left-to-Right Mark - LRM), and '%E2%80%8F' (Right-to-Left Mark - RLM). These characters can be used to obfuscate URLs, making malicious links appear benign to users and potentially bypass security controls.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
221438
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