Detections

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

1,793 detections

This rule detects the presence of HardBreacher proof-of-concept executables or DLLs containing the string 'SolidSnake.dll'. This identifier is associated with the payload delivery mechanism for a Kaspersky Endpoint Security exploit.
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Amit Ambekar@Amit007
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Detections.ai Community
2 months ago
004
Detects the execution of an executable file located within a randomly-generated, hex-like directory structure directly beneath the %AppData%\Roaming folder. This pattern is characteristic of the GoCaracal malware dropper used by the Dark Caracal threat group to evade detection by hiding executables in paths that mimic temporary or system-generated folder structures.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
005
Detects instances where Microsoft Outlook (OUTLOOK.EXE) initiates common living-off-the-land (LotL) binaries that are often abused by malicious attachments or macros to execute secondary commands, such as PowerShell, command prompt, or script host engines.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
2 months ago
11017
This rule monitors endpoint events (file, process, and image load) for a specific malicious MD5 hash or the presence of a specific file name pattern 'Request for Quotation' often used in malicious lures. It provides visibility into potential execution of known malicious payloads.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
This rule monitors endpoint events (file, process, and image load) for a specific malicious MD5 hash or the presence of a specific file name pattern 'Request for Quotation' often used in malicious lures. It provides visibility into potential execution of known malicious payloads.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
Detects a sequence of events where a PDF file opened from a Microsoft Outlook content directory triggers an immediate subsequent execution of a Microsoft Edge process pointing to a Google Sites URL, or containing suspicious command line arguments often associated with malicious redirection or web-based credential harvesting.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
000
This rule detects potential spearphishing activity by correlating email attachments containing specific 'Request for Quotation' filenames with subsequent suspicious file creation events on endpoints. It specifically looks for matching attachments (MSG or PDF) from email logs and tracks if similar file patterns appear in Microsoft Outlook content or temporary folders on host devices.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
This rule detects potential spearphishing activity by correlating email attachments containing specific 'Request for Quotation' filenames with subsequent suspicious file creation events on endpoints. It specifically looks for matching attachments (MSG or PDF) from email logs and tracks if similar file patterns appear in Microsoft Outlook content or temporary folders on host devices.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
Detects a sequence of events where a PDF file opened from a Microsoft Outlook content directory triggers an immediate subsequent execution of a Microsoft Edge process pointing to a Google Sites URL, or containing suspicious command line arguments often associated with malicious redirection or web-based credential harvesting.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
Detects instances where Adobe Acrobat or Adobe Reader processes initiate suspicious child processes, such as common interpreters (PowerShell, CMD, WScript, CScript) or binaries (rundll32, browser executables) often used in malicious document-based attacks to achieve initial code execution.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
Detects instances where Adobe Acrobat or Adobe Reader processes initiate suspicious child processes, such as common interpreters (PowerShell, CMD, WScript, CScript) or binaries (rundll32, browser executables) often used in malicious document-based attacks to achieve initial code execution.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
This rule detects the Microsoft Edge browser (msedge.exe) being spawned by common productivity applications like Adobe Acrobat or Microsoft Outlook using the '--single-argument' command-line flag. This pattern is frequently used to force a specific browser window to open a malicious URL, which can be an indicator of a malicious document or phishing email attempting to direct the user to a credential harvesting or malware delivery site.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
000
This rule detects the Microsoft Edge browser (msedge.exe) being spawned by common productivity applications like Adobe Acrobat or Microsoft Outlook using the '--single-argument' command-line flag. This pattern is frequently used to force a specific browser window to open a malicious URL, which can be an indicator of a malicious document or phishing email attempting to direct the user to a credential harvesting or malware delivery site.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
This rule detects the Microsoft Edge browser (msedge.exe) being spawned by common productivity applications like Adobe Acrobat or Microsoft Outlook using the '--single-argument' command-line flag. This pattern is frequently used to force a specific browser window to open a malicious URL, which can be an indicator of a malicious document or phishing email attempting to direct the user to a credential harvesting or malware delivery site.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
This rule detects instances where a PDF file located in the Outlook temporary internet cache is opened or accessed, followed shortly (within 3 minutes) by a network request from the device to a Google Sites URL. This behavior is indicative of a phishing attack where an email attachment redirects the user to a malicious site for credential harvesting or malware delivery.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
This rule detects instances where a PDF file located in the Outlook temporary internet cache is opened or accessed, followed shortly (within 3 minutes) by a network request from the device to a Google Sites URL. This behavior is indicative of a phishing attack where an email attachment redirects the user to a malicious site for credential harvesting or malware delivery.
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Ankit Mehta@Secvyn
Defender - KQL
2 months ago
000
This rule monitors for email events where the email is flagged for suspicious properties (SPF/DKIM/DMARC failure, threat categorization) and includes potentially malicious attachments or URLs. It then correlates these suspicious emails with subsequent process execution events on the recipient's endpoint within a 30-minute window, identifying a potential successful execution of a phishing payload.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects potential ClickFix-style attacks on macOS where a user visits a suspected malicious lure page (hosted on sites.google.com) and shortly after executes a specific malicious command pattern (related to OpenAI Codex installer) in a terminal shell within 15 minutes.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
13015
Detects the creation or renaming of a .pdf file in the root directory followed closely (within 300 seconds) by the creation or renaming of a .vhd (Virtual Hard Disk) file on the same device. This pattern may indicate the use of malicious PDF documents as a decoy or delivery mechanism to initiate the mounting or dropping of virtual disk images for payload execution or data staging.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
7011
This rule monitors for email events where the email is flagged for suspicious properties (SPF/DKIM/DMARC failure, threat categorization) and includes potentially malicious attachments or URLs. It then correlates these suspicious emails with subsequent process execution events on the recipient's endpoint within a 30-minute window, identifying a potential successful execution of a phishing payload.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
6011
This rule detects the presence of files known to be part of the SynkLoader malware delivery chain by matching their SHA256 hashes. It specifically identifies a malicious MSI installer, a Python-based loader (ss.py), and a fake msvcp150.dll runtime file used for DLL side-loading.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
008
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