Tim Peck
@timpeckTrusted contributorCompletionist
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916 detections
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This rule detects outbound TLS connections to known temporary file sharing services, which can be indicative of data exfiltration. The rule inspects the Server Name Indication (SNI) field in TLS traffic for specific domain names associated with these services.
Detects potential DLL Search Order Hijacking activity where a DLL is created in a legitimate software directory, followed by a process execution from that same directory. This pattern is consistent with UNC1549's technique of dropping malicious DLLs to be loaded by trusted applications.
This rule detects Command and Control (C2) beaconing activity associated with the UNC1549 threat group and the LIGHTRAIL malware. It specifically looks for HTTP traffic with a URI containing '/news', an 'Upgrade: websocket' header, and a distinct User-Agent string 'Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10136'. This combination of indicators suggests an attempt to tunnel C2 communications over HTTP, potentially masquerading as legitimate WebSocket traffic.
Detects the Visual Basic Compiler (vbc.exe) initiating DNS queries. This is highly anomalous behavior, as vbc.exe is a compiler and should not be making network connections. This technique is used by malware like Lokibot for defense evasion after process injection.
Detects when multiple distinct domains, where at least one is known malicious, share the same HTTP body SHA1 hash or favicon MD5 hash. This pattern is indicative of threat actor infrastructure reuse and templating, as described in analysis of campaigns like LaundryBear and FreeDrain.
Detects the execution of rundll32.exe with command-line arguments used to connect to a remote WebDAV share. This technique was observed in the SpearSpecter campaign where APT42 abused the 'search-ms' URI handler to deliver a malicious LNK file from an attacker-controlled WebDAV server.
This rule detects network connections to external hosts exhibiting a specific JARM fingerprint (27d40d40d00040d00042d43d00041df04c41293ba84f6efe3a613b22f983e6) that has been associated with a phishing campaign, specifically targeting Harbor Freight. JARM fingerprints are used to identify unique TLS server configurations, and this particular hash indicates a known malicious infrastructure.
Detects the RedTail cryptominer targeting exposed Docker APIs by looking for specific HTTP request patterns, including the 'libredtail-http' user agent and 'docker.selfrep' parameter in the request body.
Detects outbound HTTP GET requests consistent with Lumma Stealer's browser fingerprinting activity. This activity involves contacting a C2 endpoint at '/api/set_agent' with specific URL parameters ('id', 'token', 'description') to register the victim and gather system information.
Detects a Python process creating a scheduled task or adding a Windows Defender exclusion, a technique used by malware like InvisibleFerret for persistence and defense evasion.
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