Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
53 detections
Filters
Last updated
All Time
Detection languages
20
19
4
3
2
Contributors
13
10
6
3
3
Categories
28
21
10
8
7
Platforms
30
18
5
2
1
Products / Services
10
9
9
5
2
MITRE Techniques
18,110
15,627
12,575
8,387
6,212
IDS Classtypes
2
IDS Protocols
2
The following analytic detects the execution of the macOS osascript utility with AppleScript commands that display a dialog or alert containing potentially deceptive, credential-related, or security-themed content.
Adversaries may abuse osascript to present fake system messages or credential prompts and trick users into disclosing sensitive information.
This detection is based on command-line content and should be reviewed with the parent process, executing user, script content, and surrounding endpoint activity.
Adversaries may abuse osascript to present fake system messages or credential prompts and trick users into disclosing sensitive information.
This detection is based on command-line content and should be reviewed with the parent process, executing user, script content, and surrounding endpoint activity.
The following analytic detects a process loading the credui.dll or wincredui.dll module. This detection leverages Sysmon EventCode 7 to identify instances where these DLLs are loaded by processes outside typical system directories. This activity is significant because adversaries often abuse these modules to create fake credential prompts or dump credentials, posing a risk of credential theft. If confirmed malicious, this activity could allow attackers to harvest user credentials, leading to unauthorized access and potential lateral movement within the network.
Detects the execution of PowerShell scripts 'first.ps1' and 'main1.ps1', which are components of a known credential phishing toolset. This tool displays a fake Windows Update dialog to trick users into providing their credentials, which are then exfiltrated via SMB, DNS, or HTTP.
Detects the execution of processes or creation of events attempting to mimic Windows Security credential prompts. This pattern is characteristic of the TukTuk C2 framework's 'Cred Prompt' feature, designed to harvest user credentials by presenting a fake authentication dialog.
Detects network communication to specific API endpoints associated with the RatHat Android malware, which leverages accessibility services for overlay-based credential harvesting and data exfiltration.
Detects unauthorized usage of the Android Accessibility Service to navigate system settings, specifically targeting the toggling of developer options and the extraction of 6-digit ADB pairing codes, as observed in the RatHat Android malware.
Detects the execution of an unsigned, non-Apple binary initiated via xpcproxy that subsequently loads 'libpam.2.dylib' within a two-minute window. This behavior is indicative of a PamStealer-style attack, where a malicious or spoofed process attempts to harvest user credentials by leveraging system PAM libraries for validation.
Detects the execution of an unsigned, non-Apple binary initiated via xpcproxy that subsequently loads 'libpam.2.dylib' within a two-minute window. This behavior is indicative of a PamStealer-style attack, where a malicious or spoofed process attempts to harvest user credentials by leveraging system PAM libraries for validation.
Detects the execution of an unsigned, non-Apple binary initiated via xpcproxy that subsequently loads 'libpam.2.dylib' within a two-minute window. This behavior is indicative of a PamStealer-style attack, where a malicious or spoofed process attempts to harvest user credentials by leveraging system PAM libraries for validation.
Detects the execution of an unsigned, non-Apple binary initiated via xpcproxy that subsequently loads 'libpam.2.dylib' within a two-minute window. This behavior is indicative of a PamStealer-style attack, where a malicious or spoofed process attempts to harvest user credentials by leveraging system PAM libraries for validation.
Detects the execution of an unsigned, non-Apple binary initiated via xpcproxy that subsequently loads 'libpam.2.dylib' within a two-minute window. This behavior is indicative of a PamStealer-style attack, where a malicious or spoofed process attempts to harvest user credentials by leveraging system PAM libraries for validation.
Detects the execution of the 'getevent' utility by a process running with the 'shell' user ID, specifically targeting Android input device nodes. This pattern is indicative of the RatHat malware's AdbTouchCapture module, which is used to monitor touch events to facilitate the unauthorized capture of PINs or pattern locks.
Detects the RatHat Android malware attempting to perform a UI overlay attack by requesting the SYSTEM_ALERT_WINDOW permission while specifically targeting payment application packages, such as WeChat (com.tencent.mm) and Alipay (com.eg.android.AlipayGphone), to capture sensitive credentials.
Detects the RatHat Android malware attempting to perform a UI overlay attack by requesting the SYSTEM_ALERT_WINDOW permission while specifically targeting payment application packages, such as WeChat (com.tencent.mm) and Alipay (com.eg.android.AlipayGphone), to capture sensitive credentials.
This rule detects behavior associated with Hidden Virtual Network Computing (HVNC) implants, which allow remote attackers to interact with a hidden desktop session on a compromised host. The rule specifically looks for processes that perform a sequence of sensitive Windows API calls—CreateDesktopA, SetThreadDesktop, BitBlt/GetDIBits (for screen capture), and SendInput (for input simulation)—when originating from suspicious, unsigned, or non-standard file paths, indicating potential malicious use rather than legitimate software.
This rule detects behavior associated with Hidden Virtual Network Computing (HVNC) implants, which allow remote attackers to interact with a hidden desktop session on a compromised host. The rule specifically looks for processes that perform a sequence of sensitive Windows API calls—CreateDesktopA, SetThreadDesktop, BitBlt/GetDIBits (for screen capture), and SendInput (for input simulation)—when originating from suspicious, unsigned, or non-standard file paths, indicating potential malicious use rather than legitimate software.
This rule detects behavior associated with Hidden Virtual Network Computing (HVNC) implants, which allow remote attackers to interact with a hidden desktop session on a compromised host. The rule specifically looks for processes that perform a sequence of sensitive Windows API calls—CreateDesktopA, SetThreadDesktop, BitBlt/GetDIBits (for screen capture), and SendInput (for input simulation)—when originating from suspicious, unsigned, or non-standard file paths, indicating potential malicious use rather than legitimate software.
This rule detects behavior associated with Hidden Virtual Network Computing (HVNC) implants, which allow remote attackers to interact with a hidden desktop session on a compromised host. The rule specifically looks for processes that perform a sequence of sensitive Windows API calls—CreateDesktopA, SetThreadDesktop, BitBlt/GetDIBits (for screen capture), and SendInput (for input simulation)—when originating from suspicious, unsigned, or non-standard file paths, indicating potential malicious use rather than legitimate software.
This rule detects behavior associated with Hidden Virtual Network Computing (HVNC) implants, which allow remote attackers to interact with a hidden desktop session on a compromised host. The rule specifically looks for processes that perform a sequence of sensitive Windows API calls—CreateDesktopA, SetThreadDesktop, BitBlt/GetDIBits (for screen capture), and SendInput (for input simulation)—when originating from suspicious, unsigned, or non-standard file paths, indicating potential malicious use rather than legitimate software.
Detects the use of osascript to generate fake macOS system-style dialog boxes that solicit user credentials or administrator privileges. This technique is often employed by macOS infostealers to conduct GUI-based credential harvesting or to bypass user interaction requirements for privilege escalation.
SynkLoader PhishLocker Behavior
Cortex XDR
Detects indicators of the PhishLocker credential harvester, specifically the loading of fake Microsoft Visual C++ runtime DLLs from non-standard (user-writable) paths and unauthorized access to Windows lock screen images by Python-based processes.
Page 1 of 3