Detections

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

2,594 detections

Detects outbound network communication to known malicious hosting infrastructure used for the distribution of Antino Stage 2 payloads, specifically targeting CloudFront and Cloudflare R2 object storage locations.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
101
Detects Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
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Arnold Chan@slaz
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Midnight Slayer
30 days ago
001
Detects Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
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Arnold Chan@slaz
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Detection & Hunting Community
30 days ago
001
Detects SQL injection exploitation attempts against MOVEit Transfer targeting the CVE-2023-34362 vulnerability, followed by the deployment and subsequent interaction with the 'human2.aspx' webshell associated with Cl0p ransomware mass-exploitation campaigns.
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Arnold Chan@slaz
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Detections.ai Community
30 days ago
001
Detects network requests to specific GitHub, Blogspot, and Telegram endpoints, which are known to be used by the 'VPN-for-X' extension to fetch proxy configuration files. This behavior is indicative of C2 channel configuration retrieval.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
001
Detects network traffic attempting to connect to known proxy farm fallback hostnames using TLS SNI or HTTP CONNECT methods. These hostnames are often associated with command-and-control infrastructure designed to proxy traffic and mask the true destination of communications.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
001
Detects HTTP GET requests for the path '/wmglb', which is indicative of a SectopRAT stage-two module download (specifically WbElevation.dll) from a Command and Control server.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
001
Detects network activity associated with SectopRAT malware. The rule identifies C2 beaconing behavior on a non-standard port using a custom protocol with a specific 5-byte length header and 16-byte initialization vector, filtering out standard HTTP/TLS traffic.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
101
This rule detects high-frequency HTTP GET requests containing abnormally long Base64-encoded strings within the URI. This pattern is often indicative of automated payload assembly or exfiltration where data is fragmented across multiple requests, or the use of URL-shortener services to facilitate C2 communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
202
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects established, bidirectional TCP connections between internal hosts and known infrastructure associated with the SIDEEYE backdoor on specific control and data ports (3333 and 3334).
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects network activity associated with the LONGTALE malware family (attributed to APT31/JungleBamboo). This includes identification of specific malicious browser extension IDs in HTTP traffic and signature-based detection of periodic HTTPS/HTTP beaconing patterns indicative of session or cookie exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects DNS queries and TLS SNI traffic directed towards the suspicious domain 'corp.tripswithengine.com', which is associated with the NeedyMantis malware C2 infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects network activity associated with the NeedyMantis malware, specifically identifying C2 beaconing behavior. The rule looks for HTTPS GET requests to specific URI paths ('/library/zip/') with a WebSocket upgrade header and suspicious cookie patterns, as well as TLS SNI traffic targeting the hardcoded domain 'corp.tripswithengine.com'.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects HTTP beaconing and WebSocket command-and-control (C2) communication associated with the AgtaBackup RAT. This includes identifying specific check-in URIs, hardcoded 'X-Agent-Secret' header authentication, and the initialization of a WebSocket connection.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects network requests to known domains (acrobat-reader-installer.com, 03webzoominvite.us) masquerading as Microsoft Store resources to deliver malicious MSI installers. This activity is associated with RMM-based RAT deployment chains.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
This rule detects network traffic originating from internal hosts to the domain 'msfconfig.icu'. It specifically monitors for GET requests to '/tmp/system.txt' and TLS connections using the same domain as an SNI, which are associated with the delivery of ClickFix XMRig miner payloads.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
202
This rule detects HTTP GET requests to Vercel subdomains targeting a specific path (/secure.html). This behavior is characteristic of phishing campaigns, specifically those masquerading as RMM-related lures to trick users into providing access codes or credentials.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects network traffic (TLS SNI and HTTP Host headers) attempting to connect to known command-and-control infrastructure associated with the NodeRabbit RAT and Mirage Kitten campaign. The rule monitors for unauthorized connectivity to specific domains including 'oracle-challenge.s3.us-east-1.amazonaws.com', 'plugplay.azurewebsites.net', and 'lifespotify.com'.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects anomalous network traffic associated with Vidar Stealer 2.0, where an HTTP GET request for a .jpg file is directed to a bare IP address, and the server's response header fails to indicate an image content type despite the requested file extension.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects outbound HTTP POST requests destined for 'aware-cr1.com' targeting the URI '/api/beacon', which is indicative of command-and-control (C2) communication associated with the 2CLoader malware.
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Arnold Chan@slaz
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Hunters
27 days ago
000
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