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Darshan Thummar

@Mighty
Completionist
1 follower12 downloads680 copies5 likes8,361 views

2,107 detections

This rule detects phishing emails that deliver survey or form lures by identifying specific content patterns within SMTP traffic. It looks for emails with 'Content-Type: application/' and 'filename=' headers, specifically targeting attachments with file extensions like .doc, .docx, .pdf, or .xlsx, which are commonly used in social engineering attacks to deliver malicious documents or forms.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects DNS queries for domains ending with '.onion', which are typically associated with the Tor network and the dark web. Such queries indicate potential attempts to access dark web resources, which could be a policy violation or an indicator of malicious activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects network connections to known threat intelligence vendor portals. It specifically looks for HTTP traffic where the host header matches one of the specified domains: intel471.com, ke-la.com, recordedfuture.com, or flashpoint.io. This could indicate an analyst or automated system accessing threat intelligence resources.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects enumeration of organization profiles on Crunchbase.com by monitoring HTTP traffic for connections to 'crunchbase.com' with a high frequency (15 times in 60 seconds) from a single source IP address. This behavior is indicative of a network scan or automated data collection activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects potential reconnaissance activity targeting investor relations pages on a web server. It triggers when a client makes 10 or more HTTP requests containing the word "investor" (case-insensitive) in the URI within a 30-second window. This could indicate an attacker attempting to gather information about a company's financial status, ownership, or other sensitive details often found on investor relations sections of websites.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects attempts to modify file timestamps over SMB. Specifically, it looks for the 'SetFileTime' operation within SMB traffic on port 445. This activity can be indicative of an adversary attempting to hide their presence or activities by making malicious files appear to have legitimate creation or modification times, a technique known as timestomping.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects suspicious background downloads initiated via BITS (Background Intelligent Transfer Service) where the HTTP User-Agent contains "Microsoft BITS" and the requested URI ends with common executable or script file extensions (.exe, .dll, .ps1, .bat). This behavior can indicate an adversary using BITS for ingress tool transfer or to download malicious payloads.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects HTTP downloads where a file is disguised as a PDF but is actually an executable. It specifically looks for the 'MZ' magic bytes (indicating a Windows executable) within the first two bytes of the file data, combined with a '.pdf' extension in the HTTP URI. This is a common technique used by attackers to bypass security filters and trick users into executing malicious code.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects the download of potentially obfuscated VBScript files over HTTP. It specifically looks for the string 'Chr(' repeated multiple times within the first 200 bytes of the file data, which is a common obfuscation technique used in malicious VBScripts to hide their true content.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects attempts to exploit Apache Struts OGNL (Object-Graph Navigation Language) injection vulnerabilities. It specifically looks for HTTP requests where the 'Content-Type' header contains the sequence '%{', which is characteristic of OGNL expressions used in injection attacks against Apache Struts.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
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