Detections

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

6,535 detections

Detects exploitation attempts targeting a code injection vulnerability in XWiki's SolrSearch macro (CVE-2025-24893). Attackers can inject malicious Groovy code through specially crafted requests to the SolrSearch endpoint, leading to unauthenticated remote code execution.
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Aaron Beardslee@abeardslee
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Detections.ai Community
1 year ago
7469
This rule detects outbound TLS connections to known temporary file sharing services, which can be indicative of data exfiltration. The rule inspects the Server Name Indication (SNI) field in TLS traffic for specific domain names associated with these services.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
40108
This rule detects Command and Control (C2) beaconing activity associated with the UNC1549 threat group and the LIGHTRAIL malware. It specifically looks for HTTP traffic with a URI containing '/news', an 'Upgrade: websocket' header, and a distinct User-Agent string 'Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10136'. This combination of indicators suggests an attempt to tunnel C2 communications over HTTP, potentially masquerading as legitimate WebSocket traffic.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
1077
Detects when multiple distinct domains, where at least one is known malicious, share the same HTTP body SHA1 hash or favicon MD5 hash. This pattern is indicative of threat actor infrastructure reuse and templating, as described in analysis of campaigns like LaundryBear and FreeDrain.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
3059
When, for example, a printer, camera, IoT appliance, or other device suddenly makes outbound connections to countries such as China, Russia, or Iran, this may not be noise. The following detection helps identify connections from these specific device groups that we were not previously aware of and that could be exfiltrating information.
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Sergio Albea@Sergio_Albea
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01 | 🇨🇭 Swiss Cyber Hunters
1 year ago
1516953
Detects large HTTP responses for URLs containing keywords associated with F5 BIG-IP configuration or archive files. This could indicate an attacker exfiltrating sensitive system configurations.
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Marshall Yang@marshop
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Detections.ai Community
1 year ago
61174
This rule detects TLS connections to domains associated with Gh0st RAT impersonation campaigns, specifically 'Campaign Trio' and 'Campaign Chorus'. It looks for specific strings ('i4tools', 'youdao', 'deepseek') in the TLS Server Name Indication (SNI) field, combined with top-level domains like '.top' or '.vip'. This pattern indicates potential command and control (C2) communication from Gh0st RAT malware.
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Matt Brady@mbrady5299
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Detections.ai Community
1 year ago
61122
This rule detects network connections to external hosts exhibiting a specific JARM fingerprint (27d40d40d00040d00042d43d00041df04c41293ba84f6efe3a613b22f983e6) that has been associated with a phishing campaign, specifically targeting Harbor Freight. JARM fingerprints are used to identify unique TLS server configurations, and this particular hash indicates a known malicious infrastructure.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
10107
Detects outbound HTTP GET requests consistent with Lumma Stealer's browser fingerprinting activity. This activity involves contacting a C2 endpoint at '/api/set_agent' with specific URL parameters ('id', 'token', 'description') to register the victim and gather system information.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
70141
This rule detects Command and Control (C2) communication associated with the Amatera Stealer malware. It specifically looks for TLS traffic where the Server Name Indication (SNI) field contains the string "aether100pronotification.table.core.windows.net". This SNI is considered bogus and indicative of Amatera Stealer's C2 activity.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
0085
This rule detects a sustained ICMP flood attempt, which is a type of Denial of Service (DoS) attack. It triggers an alert if more than 100 ICMP packets (type 8, echo request) are observed from an external network to the home network within a 10-second window, tracked per source IP. This indicates an adversary is attempting to overwhelm the target system or network with ICMP traffic.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
23106
This rule detects a high rate of ICMP echo requests from a single source to a server within the home network, indicating a potential Denial of Service (DoS) attack. It triggers an alert if more than 50 ICMP echo requests are observed from the same source within a 1-second interval.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
1399
This rule detects network traffic indicative of Kraken Ransomware activity, specifically looking for connections to Cloudflared tunnels. It identifies TLS SNI (Server Name Indication) containing '.trycloudflare.com', which is a domain used by Cloudflare for its tunnel services. This behavior is often leveraged by adversaries for command and control or data exfiltration, as it can help bypass traditional firewall rules and obscure the true destination of the traffic.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
0190
Detects FileFix campaigns that use clipboard manipulation functions in web pages to deliver malicious PowerShell commands. These campaigns often trick users into copying and executing payloads, sometimes involving steganography with image files.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
61202
This rule detects network traffic to specific JSON storage services (jsonkeeper.com, jsonsilo.com, npoint.io) that have been observed to be abused by the DPRK-linked 'Contagious Interview' threat actors for malware delivery. The detection is based on TLS Server Name Indication (SNI) patterns.
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Tim Peck@timpeck
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Suricon Rules
1 year ago
0074
The query below correlates device inventory, IP assignment and network events to identify internal endpoints attempting to connect to routers — including whether they succeeded and via Web or Application access. Attack traffic often aligns with failed HTTP/HTTPS attempts or unknown device names.
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Sergio Albea@Sergio_Albea
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01 | 🇨🇭 Swiss Cyber Hunters
1 year ago
421271
Detects downloads from PwnDrp web servers developed for red team testing and most likely also used for criminal activity
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
002
This rule detects inbound HTTP requests containing the User-Agent string 'Salesforce-Multi-Org-Fetcher/1.0'. This specific User-Agent has been associated with data theft from Salesforce instances, as detailed in a Google Cloud blog post. The detection aims to identify potential malicious activity targeting web server applications, specifically Salesforce environments, where an attacker might be attempting to exfiltrate data.
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
3094
This rule detects inbound HTTP requests containing the User-Agent string 'Salesforce-CLI/1.0'. This activity is considered suspicious as it may indicate reconnaissance or data theft attempts targeting Salesforce instances, potentially leveraging compromised credentials or systems. The presence of this specific User-Agent inbound to a network could be an indicator of malicious activity, as Salesforce CLI is typically used by developers and administrators for managing Salesforce organizations and is not expected to be seen in inbound traffic from external networks to internal systems.
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
1076
ET MOBILE_MALWARE Klopatra CnC Domain in DNS Lookup (guncel-tv-player-lnat .]com)
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0143
Detects attempts to exploit the Triofox authentication bypass vulnerability (CVE-2025-12480) by sending a request with a 'localhost' Host header from an external IP address to access administrative pages. This allows an attacker to create a new administrative account.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
2084
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