Detections

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

2,594 detections

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 HTTP requests directed at the 'noah-ssh.com.cn' domain targeting '/api.php' with a specific 13-digit millisecond timestamp pattern. This behavior is indicative of a relay or dispatcher mechanism associated with SilverFox SEO poisoning campaigns, used to manage or redirect traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
This rule detects HTTP requests to the Microsoft device login endpoint (/devicelogin) that originate from a non-Microsoft referrer domain. This behavior is highly indicative of Adversary-in-the-Middle (AiTM) phishing attacks targeting OAuth device code flows, where a malicious proxy site redirects users to the legitimate Microsoft login page while attempting to capture session tokens.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects suspicious network traffic to Ethereum Sepolia testnet RPC endpoints (Alchemy and Infura) indicative of the 'indexed-btree' malware campaign. The rule monitors for characteristic C2 polling patterns, specifically requests involving malicious contract addresses and specific RPC methods (eth_call, eth_getStorageAt) associated with this activity.
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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 HTTP POST requests to known public Ethereum RPC gateways (Alchemy and Infura) containing embedded, hardcoded API keys or references to specific contract addresses associated with the 'indexed-btree' malware campaign. This pattern indicates a compromised host leveraging legitimate Web3 infrastructure for Command and Control (C2) communication.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
This rule detects malformed SCTP packets that trigger a protocol decoding error ('pkt_too_small'). This behavior is associated with the 'DiagSpill' vulnerability (CVE-2026-74469), where specially crafted chunk sequences in the SCTP stream can cause a remote service crash or potential instability. The rule includes a threshold to mitigate noise from non-malicious malformed packets.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects a specifically malformed IPv6 Routing Header (type 0) with a 'segments_left' value of 255 preceding an Authentication Header (AH). This signature targets an exploit pattern known as 'DirtyAH6', which aims to trigger a remote kernel crash or potential remote code execution on vulnerable systems by manipulating IPv6 header processing.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects a specifically malformed IPv6 Routing Header (type 0) with a 'segments_left' value of 255 preceding an Authentication Header (AH). This signature targets an exploit pattern known as 'DirtyAH6', which aims to trigger a remote kernel crash or potential remote code execution on vulnerable systems by manipulating IPv6 header processing.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects high-frequency SCTP ASCONF/ADD-IP chunk packets originating from external networks. This behavior is indicative of a Denial-of-Service (DoS) exploit attempt targeting a vulnerability (CVE-2026-74469) related to DiagSpill transport_count integer wraparound.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
This rule detects a high volume of SCTP traffic targeted at internal systems, characterized by mass endpoint creation. This behavior is indicative of an exploit attempt against the 'sctp_diag' kernel component (CVE-2026-74469), which can lead to an out-of-bounds (OOB) write condition, potentially resulting in system instability or denial of service.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
This rule detects potential exploitation attempts against SonicWall SMA1000 appliances, specifically targeting the /wsproxy endpoint using a custom 'SMA Connect Agent' user agent string. This behavior is associated with SSRF vulnerabilities (CVE-2026-15409 and CVE-2026-15410) identified as being utilized by the threat actor group UTA0533 in campaigns involving INC Ransomware.
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Ali AlEnezi@site
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Detections.ai Community
2 months ago
008
This rule detects periodic network beaconing patterns consistent with BabylonRAT malware. It flags established TCP connections to external networks that occur at a frequency exceeding 5 connections within a 300-second window, which may indicate a C2 check-in mechanism. Due to the heuristic nature of this detection, it is recommended to tune the threshold and correlate with payload analysis or entropy inspection to reduce noise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects periodic network beaconing patterns consistent with BabylonRAT malware. It flags established TCP connections to external networks that occur at a frequency exceeding 5 connections within a 300-second window, which may indicate a C2 check-in mechanism. Due to the heuristic nature of this detection, it is recommended to tune the threshold and correlate with payload analysis or entropy inspection to reduce noise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects network activity associated with the DarkMe RAT, including DNS lookups for its known C2 domain 'thatawful.boutique' and outbound TCP connections to a hardcoded non-standard port (7712) at a known malicious C2 IP address.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
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
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