Detections

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

485 detections

Ransomware group exploiting edge devices and managed file transfer software
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Rust-based ransomware family targeting enterprise environments
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule monitors for DNS queries, network connections, and HTTP proxy requests originating from node/npm processes or targeting known infrastructure associated with the Trum3it campaign. It covers common malicious domains and specific Vercel subdomains identified as command-and-control (C2) endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects high-frequency port scanning activity from external, non-private IP addresses targeting common network services. The rule identifies different scanning profiles, including wide port sweeps and targeted multi-port scans, which are consistent with reconnaissance behaviors observed in botnet activity like the KV/JDY clusters.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects email spoofing attempts where the sender's display name is set to 'Monitoring', but the sender's email address does not contain 'monitoring', specifically targeting activity associated with the 'gasparinutrition.com' domain. This behavior is indicative of an impersonation attempt, commonly used in phishing campaigns to establish trust.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects unauthorized or anomalous modifications to local vector database files by non-standard processes.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
002
This rule detects suspicious process creation events where a process is spawned from common user-writable directories (AppData\Roaming, AppData\Local\Temp, Desktop) and subsequently allocates memory with characteristics often associated with code injection or execution (VirtualAlloc, NtAllocateVirtualMemory, PAGE_EXECUTE_READWRITE, 0x40). It filters out known legitimate Windows processes that might exhibit similar behavior.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
004
Detects anomalous authentication patterns where a single source IP address exhibits multiple failed login attempts followed by at least one successful login within a 10-minute time window, indicative of credential stuffing or password spraying.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
This rule detects Content Security Policy (CSP) violations related to 'netdna-ssl.com' or 'wpengine.netdna-ssl.com' domains. Specifically, it looks for violations where the blocked URI contains 'netdna-ssl.com' or the violated directive is 'script-src', 'font-src', or 'connect-src'. This could indicate attempts to inject malicious content or bypass CSP protections.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects anomalous network connections to HTTP/S ports (80, 443, 8080) by suspicious processes (e.g., Python, Netcat, Socat) or those executing known tunneling/web shell scripts (Neo-reGeorg, Chisel). This rule identifies potential egress-blocked environment bypass attempts by monitoring for high-frequency outbound connections that deviate from standard browser or signed-application behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects the execution of commands used to parse /etc/hosts for PeopleSoft-related node names (WEB, APP, csprd) for lateral movement targeting. Threat actors (e.g., ShinyHunters) use this to discover internal application and web servers.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potential network reconnaissance activity by looking for keywords such as 'scan', 'sweep', 'probe', 'recon', 'nmap', and 'nessus' within the 'Message' field of CommonSecurityLog entries. This could indicate an adversary actively gathering information about the network infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
105
This rule detects exploitation attempts targeting CVE-2026-0300 in Palo Alto Networks PAN-OS. It identifies suspicious network connections to User-ID Authentication Portal ports (6081, 6082) from external IP addresses, excluding RFC1918 and loopback ranges. Additionally, it looks for a specific anomalous User-Agent string associated with the CL-STA-1132 threat actor, which has been observed during exploitation of this vulnerability.
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Kenji Choy@kchoy
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Detections.ai Community
6 months ago
2601,739
Detects DNS queries or network connections to known PhantomRaven Wave 5 command-and-control infrastructure (domains and IP addresses). This rule identifies communication with specific malicious domains and IP addresses associated with the PhantomRaven campaign, indicating potential compromise or attempted communication with adversary infrastructure.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
50310
This rule detects potential network reconnaissance activity by looking for keywords such as 'scan', 'sweep', 'probe', 'recon', 'nmap', and 'nessus' within the 'Message' field of CommonSecurityLog entries. This could indicate an adversary actively gathering information about the network infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
6 months ago
90545
This rule alerts when Cato's inline Anti Malware engine identifies a file in transit as malicious. It fires on both blocked and allowed malware to catch cases where the engine detects but fails to block, indicating a potential compromise or a misconfiguration requiring immediate investigation.
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Nicholas Isakson@nisakson2000
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Detections.ai Community
7 months ago
220651
Detects when a Microsoft Cloud App Security reported a risky sign-in attempt due to a login associated with an impossible travel.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when a Microsoft Cloud App Security reported when a user signs into your sanctioned apps from a risky IP address.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects install-time execution context consistent with the Axios npm supply chain compromise. This rule looks for 'node setup.js' launched from within 'node_modules/plain-crypto-js' or related npm install working directories, or for npm install commands involving 'axios' or 'plain-crypto-js'.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
7 months ago
130282
This rule detects a potential software supply chain compromise by correlating `npm install`, `npm ci`, or `npm update` activity with the subsequent execution of a `node setup.js` script on the same device within a 30-minute window. It specifically looks for `setup.js` execution or processes running from the `/node_modules/plain-crypto-js` directory, which is indicative of the Axios npm supply chain compromise.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
7 months ago
220337
Detects potential NetScaler administrative session hijacking by monitoring for the usage of SESSID or NITRO_SK administrative cookies from multiple source IPs. Attackers leverage CVE-2026-3055 to steal these specific session cookies to gain unauthorized administrative access.
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Ethan Andrews@eandrews
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Federal Signal Detections
7 months ago
150202
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