Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
260 detections
Filters
Last updated
All Time
Detection languages
141
60
21
18
11
Contributors
80
44
20
19
11
Categories
77
69
67
49
37
Platforms
203
56
30
13
11
Products / Services
10,683
9,759
6,695
4,421
3,750
260
MITRE Techniques
75
73
53
41
40
CVEs
8
4
4
3
3
IDS Classtypes
4
1
1
1
IDS Protocols
4
1
Detects anomalous network traffic patterns communicating with the Telegram Bot API (api.telegram.org) from non-official Telegram processes. The rule identifies potential command and control (C2) activity by analyzing request frequency, specific API method usage (e.g., getUpdates, sendMessage), and beaconing-like behavior.
Detects network traffic associated with DcRAT malware, specifically monitoring outbound connections on port 2671 to external non-private IP addresses, or directly to known malicious infrastructure (223.26.63.40). The rule also identifies potential beaconing behavior by analyzing connection intervals and standard deviation, and flags activity originating from specific autonomous system ranges (AS152194) linked to the threat actor's infrastructure.
This rule detects network activity associated with the Bluekit PhaaS (Phishing-as-a-Service) BitM (Browser-in-the-Browser) C2 infrastructure. It monitors for connections to known malicious domains, the use of WebSocket upgrades over TLS, and the presence of 'rrweb' (a DOM recording library) in request URIs, which are indicative of browser-in-the-browser phishing C2 traffic.
Detects inbound network connections from external, non-private IP addresses to local ports 6081 and 6082. These ports are used by the PAN-OS User-ID Authentication Portal, which is actively targeted by CVE-2026-0300.
This rule identifies suspicious outbound network traffic potentially related to data exfiltration or command-and-control (C2) communication. It monitors for connections to the Telegram Bot API utilizing 'sendMessage' methods, often used by malware for exfiltrating credentials or sensitive data, as well as connections to known 'Bluekit' PhaaS (Phishing-as-a-Service) operator domains.
This rule monitors network and email gateway logs to detect activity related to the Bluekit Phishing-as-a-Service (PhaaS) platform. It identifies traffic to known Bluekit command-and-control or phishing domains, detects the presence of rrweb scripts often associated with session recording on phishing pages, alerts on brand-impersonation phishing pages using specific keyword combinations, and flags the presence of FortiBleed campaign lures.
This rule monitors network logs (from proxies and firewalls) for web traffic (HTTP GET requests) containing suspicious JavaScript code injection patterns in the request context or message fields. It specifically looks for common XSS indicators such as <script tags, eval(), document.write(), fromCharCode(), and atob().
This rule detects successful HTTP requests (status 200, 201, 202) directed towards management interfaces (Redfish, CIMC, OSS APIs) by unauthenticated or anonymous users originating from outside the internal network. The rule calculates a risk level based on the variety and frequency of requested paths, flagging potential unauthorized enumeration or exploitation attempts against server infrastructure.
This rule detects successful HTTP requests (status 200, 201, 202) directed towards management interfaces (Redfish, CIMC, OSS APIs) by unauthenticated or anonymous users originating from outside the internal network. The rule calculates a risk level based on the variety and frequency of requested paths, flagging potential unauthorized enumeration or exploitation attempts against server infrastructure.
This rule identifies network connections (DNS queries, HTTPS/WebSocket traffic) directed toward known suspicious domains associated with potentially malicious C2 infrastructure.
This rule monitors network traffic for HTTP POST requests directed toward specific destination ports (443 or 8770) that return HTTP status codes in the 4xx range (client errors), excluding known legitimate URI paths. This pattern may indicate scanning activity, exploitation attempts, or unauthorized access attempts against internal services or misconfigured applications.
Detects the execution of commands used to disable the algif_aead module to mitigate CVE-2026-31431 (Copy Fail).
A node/python/pip-driven package install resolves a domain that Palo Alto classifies as newly-registered within seconds of the install. This signals a potential malicious dependency or compromised package beaconing to attacker infrastructure (supply-chain compromise / install-time C2).
This rule detects suspicious activity involving interaction with the 'perplexity-ai.online' domain and the creation of specific browser extension files, which may indicate browser-based data exfiltration or credential theft. The rule correlates file creation events, DNS queries, and network connections, assigning a higher risk score when multiple indicators are present, particularly when evidence suggests exfiltration of keystroke or search data via web requests.
This rule detects attempts by non-browser executables to access DPAPI (Data Protection API) for decryption, specifically when the command line also references Chromium Local State. This behavior is indicative of credential theft, where an attacker might be trying to extract stored browser credentials. The rule filters out legitimate browser processes (Chrome, MS Edge, Brave) to reduce false positives and focuses on the causal chain of events.
This rule detects a TCP SYN packet (initial connection attempt) directed towards port 10443 on the home network. The message indicates this is a probe targeting a Palo Alto Firewall Management Interface. This suggests an attempt to discover or interact with a Palo Alto firewall's management interface, potentially for reconnaissance or exploitation.
Detects both specific Indicators of Compromise (IOCs) and generic anomalous authentication activity associated with the exploitation of the PAN-OS GlobalProtect authentication bypass vulnerability (CVE-2026-0257).
Detects generic anomalous authentication or unexpected session creation indicative of an authentication bypass vulnerability (CVE-2026-0257) in PAN-OS GlobalProtect. Needs specific endpoint/URI tuning based on actual CVE details once available.
Detects exploitation attempts of the PAN-OS GlobalProtect authentication bypass vulnerability (CVE-2026-0257) by monitoring for specific Indicators of Compromise (IOCs) including source IPs, machine names, and MAC addresses.
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.
Detects the malformed User-Agent string used by CL-STA-1132 during exploitation
of CVE-2026-0300 (PAN-OS Captive Portal buffer overflow). The UA is structurally
invalid (Safari token precedes Mozilla token, Mozilla/5.5 is non-standard) and
has no known legitimate origin.
of CVE-2026-0300 (PAN-OS Captive Portal buffer overflow). The UA is structurally
invalid (Safari token precedes Mozilla token, Mozilla/5.5 is non-standard) and
has no known legitimate origin.
Page 5 of 13







