Detections

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

408 detections

Detects network activity associated with the SilkParasite C2 infrastructure (used by SpiceRAT and NodeEdgeRAT malware). The rule monitors for specific impersonated TLS certificates, known malicious IP addresses, and unique JA4X TLS fingerprints associated with these threat actors.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
Detects network activity associated with the KREMLIN browser extension communicating with a known command and control domain (luizestrelhashapr.online). The rule monitors DNS queries, TLS SNI connections, and HTTP WebSocket upgrade requests to identify potential C2 communication.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
007
Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
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Arnold Chan@slaz
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Hunters
1 month ago
003
This rule detects outbound TLS connections to suspicious domain names characteristic of the Koktevrat malware's DGA. The rule identifies SNI strings that match a specific regex pattern (8-16 alphanumeric characters followed by .icu or .cfd TLDs), which is indicative of automated C2 communication.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
Detects TLS connections using suspicious certificates identified as belonging to the SilkParasite threat actor. The rule monitors for specific certificate issuer strings paired with either malicious subject domain patterns (targeting Central Asian entities) or specific JA4X fingerprints associated with known malicious activity.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects outbound network communication attempts by the SilverFox malware to known Cloudflare Workers relay infrastructure, specifically targeting hostnames associated with 'noah-relay' instances. The rule monitors DNS lookups, TLS SNI headers, and HTTP Host headers to identify potential Command and Control (C2) traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
This rule detects network traffic originating from the local network to external destinations that exhibit characteristics associated with the Xray-core tool, specifically the use of a spoofed TLS Server Name Indication (SNI) of 'dl.google.com' paired with a server certificate that does not contain 'Google' in the subject. This technique is used to bypass network filters by masquerading command and control traffic as legitimate Google traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule monitors and alerts on network traffic (TCP/TLS/HTTP) directed toward a known malicious IP address associated with an Adversary-in-the-Middle (AiTM) phishing infrastructure, categorized under the PREY-0058 designation.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potential Xray-core command-and-control (C2) activity where a client initiates a TLS connection using 'dl.google.com' as the Server Name Indication (SNI) but connects to a destination IP address that does not belong to Google's infrastructure. This technique is often used to mask C2 traffic as legitimate traffic to Google services.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects network traffic associated with the malicious npm package 'indexed-btree', which uses the Telegram Bot API to exfiltrate data. The rules monitor for connections to api.telegram.org via HTTPS and identify specific hardcoded bot tokens and chat IDs associated with the malicious campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects outbound TLS traffic behavior consistent with the WaterPlum RAT, characterized by periodic, low-volume connections to non-CDN/cloud providers. The rule identifies potential beaconing activity by monitoring TLS SNI fields against a list of known legitimate service providers and applying a frequency threshold.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects outbound TLS traffic behavior consistent with the WaterPlum RAT, characterized by periodic, low-volume connections to non-CDN/cloud providers. The rule identifies potential beaconing activity by monitoring TLS SNI fields against a list of known legitimate service providers and applying a frequency threshold.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects outbound TLS traffic behavior consistent with the WaterPlum RAT, characterized by periodic, low-volume connections to non-CDN/cloud providers. The rule identifies potential beaconing activity by monitoring TLS SNI fields against a list of known legitimate service providers and applying a frequency threshold.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects outbound network traffic (HTTPS and TLS) directed at the specific S3-compatible object storage host 'ams1.vultrobjects.com'. This pattern is associated with 'HEAVYGRAM', a threat actor or toolkit using Vultr S3 buckets for potential data exfiltration.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
005
Detects outbound TLS connections to Microsoft Dev Tunnels (devtunnels.ms), which can be abused for lateral movement or protocol tunneling of services such as RDP to bypass network ingress filtering.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects outbound network communications (TLS, MQTT, and HTTP) to HiveMQ infrastructure. The pattern of activity suggests the presence of 'Bird Agent' malware utilizing the MQTT protocol for command and control (C2) communication, as well as periodic HTTP beaconing to HiveMQ broker endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects network traffic patterns associated with the Koktevrat Android RAT, specifically identifying periodic TLS beacons (heartbeats) destined for known C2 domains (streams-tv.lol and stream-plus.lat). The behavior suggests the use of Android's AlarmManager to schedule recurring callbacks to the C2 infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects anomalous TLS traffic characterized by an empty Server Name Indication (SNI) field in the TLS handshake, combined with a high frequency of such connections. This behavior is indicative of certain proxy protocols like Xray VLESS with REALITY, which are often used to evade Deep Packet Inspection (DPI) and traffic shaping policies by disguising C2 or tunneling traffic as legitimate-looking TLS connections.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
Detects anomalous TLS traffic characterized by an empty Server Name Indication (SNI) field in the TLS handshake, combined with a high frequency of such connections. This behavior is indicative of certain proxy protocols like Xray VLESS with REALITY, which are often used to evade Deep Packet Inspection (DPI) and traffic shaping policies by disguising C2 or tunneling traffic as legitimate-looking TLS connections.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects TLS connections where the certificate subject is 'azure.uzrailwaystax.com' and the issuer is 'TLC DV TLS CA', indicating potential impersonation of the Uzbekistan railway authority infrastructure, likely associated with SilkParasite activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects outbound RDP-over-TLS traffic directed toward known SilkParasite C2 IP addresses on specific high-numbered ports, or generic RDP-over-TLS patterns on those same non-standard ports, which suggests tunneling or unauthorized remote access.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
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