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Damien vd Linden

@lindensec
Completionist
4 followers32 downloads50 copies17 likes596 views

7 detections

This rule detects indicators of compromise (IOCs) associated with the 'ManualFinder/PDF Editor' malware campaign. It identifies malicious activity across multiple data sources, including file hashes, process hashes, suspicious certificate signers, suspicious company names in version info, suspicious file descriptions, malicious command execution, and network connections to known command and control (C2) or malicious PDF-related domains. The rule leverages external data sources for IOCs such as file hashes, C2 domains, PDF-related domains, suspicious signers, and malicious commands. It also includes static IOCs like specific file descriptions and company names. The detection logic is designed to identify various stages of the malware's activity, from initial execution to network communication.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
309278
This rule detects potential spearphishing attempts where the sender's email address is from Gmail, there are no attachments or URLs, and the subject line of the email matches the recipient's first name. This pattern is often used in highly targeted social engineering attacks to appear legitimate and bypass traditional email security controls.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
4148
This rule detects emails containing a URL to a suspicious domain. It also checks if any of these suspicious URLs were subsequently clicked by a user, indicating potential compromise or successful phishing.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
5369
This rule detects phishing attempts that leverage Google redirect links. It identifies emails where the URL contains 'google.' and '/url?' and the URL domain is 'google', but the extracted domain is not 'com'. This indicates a potential malicious redirect through Google's services, often used to obscure the final malicious destination. The rule then joins this URL information with email event data to provide context such as sender, recipient, subject, and delivery location, focusing on emails delivered to the Inbox or Junk folder but not quarantined.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
3154
This rule detects attempts to phish user credentials by identifying Base64 encoded User Principal Names (UPNs) or their domains within URLs clicked by users. Adversaries often encode sensitive information like UPNs in malicious URLs to bypass security controls or to make the links appear less suspicious. The rule specifically looks for partial Base64 encoded strings of the user's UPN or domain within the 'UrlChain' field of URL click events.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
4153
This rule detects the execution of common Windows utilities (PowerShell, Regsvr32, BITSAdmin, Certutil, MSHTA) when initiated by a web browser. This behavior can indicate an attempt to execute malicious code or download additional payloads after a user clicks a malicious link or visits a compromised website. Adversaries often leverage these utilities for various purposes, including code execution, file transfer, and bypassing security controls.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
1147
Hunting query to monitor downloads through popular browsers
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
3147