Detections

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

696 detections

This rule detects potential DNS hijacking attempts via a compromised resolver. It specifically looks for UDP traffic on port 53 (DNS) to the home network, containing the DNS response code '81 80' (indicating a standard query response) and the PCRE pattern '/\x00\x01\x00\x00/' which corresponds to a single question in the DNS query. A threshold of 20 occurrences within 10 seconds from the same source IP triggers the alert, suggesting a high volume of suspicious DNS responses.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a high volume of outbound TCP communication from the home network to any destination on port 8080. This pattern can indicate a compromised server acting as a proxy or engaging in other suspicious network activity, potentially for resource development or command and control.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects potential command and control (C2) activity where a compromised WordPress site is used as a relay. It specifically looks for HTTP POST requests to URIs containing "wp-admin" with a data size greater than 1000 bytes. A threshold of 5 such events within 60 seconds from the same source IP triggers the alert, indicating a potential high volume of C2 communication.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts to sell or exchange VPN credentials by looking for the keywords "vpn" and "credentials" in the client body of HTTP traffic. This could indicate an attacker attempting to monetize stolen VPN access or an insider threat attempting to leak sensitive access information.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects inbound emails containing Mailchimp click-tracking links that redirect to ActiveCampaign landing pages, a known ESP chaining technique used to obscure credential harvesters. This technique is often used in phishing campaigns to bypass email security controls.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
407
Detects a device making an unusually high number of unique outbound network connections to different remote IP addresses within a short time frame (5 minutes). This behavior can indicate various malicious activities such as network scanning, botnet activity, or data exfiltration to multiple external hosts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule identifies 'chokepoint' devices within an environment based on their high number of inbound and outbound connections (at least 2 each). It then enriches these chokepoint devices with vulnerability and misconfiguration remediation recommendations from Microsoft Defender for Endpoint (MDE) TVM and Exposure Graph. The rule prioritizes remediation based on the calculated 'ChokepointScore' (InboundCount * OutboundCount) and indicates if the device has active exploits. This helps security teams focus remediation efforts on critical assets that could significantly impact the network if compromised.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
110255
This rule identifies "impossible travel" scenarios where a user logs in from two geographically distant locations within a short period (less than 2 hours). This can indicate a compromised account being used by an attacker, potentially leveraging VPNs or other proxy services to obscure their true location.
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nomit vyas@xoxo
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Detections.ai Community
6 months ago
40228
Detects when an Okta end-user reports activity by their account as being potentially suspicious.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
002
Detects network activity consistent with a user attempting to download or install OpenClaw or a known variant — an open-source AI agent family classified as a Potentially Unwanted Application (PUA). Monitors for access to OpenClaw distribution URLs including GitHub releases, the install script endpoint, raw GitHub content, and npm registry paths for known variants. Also detects variant names appearing in process command lines at the time of a network connection, covering alternative package managers and runtimes such as Bun, pnpm, Yarn, and Deno in addition to traditional browsers and shell tools. Covers 33 known variants of the OpenClaw family including Clawdbot, Moltbot, Ironclaw, MalClaw, and others.
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JP Williams@SiriusCyberntx
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Detections.ai Community
7 months ago
331356
This rule detects network connections and DNS resolution requests to known typosquatted domains used by the TeamPCP threat actor for command and control (C2) and data exfiltration. These domains are associated with a compromised Trivy scanner. Detection indicates successful execution of the compromised scanner and attempted exfiltration.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
7 months ago
384551
Detects web requests to Cloudflare workers.dev subdomains containing specific keywords commonly used in the EvilTokens device code phishing campaign. The rule specifically looks for a pattern like '[lure-type]-[3char-id].[username]-[domain]...workers.dev' to identify malicious URLs.
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Ethan Andrews@eandrews
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Federal Signal Detections
7 months ago
390644
Detects web requests to Cloudflare workers.dev subdomains containing specific keywords commonly used in the EvilTokens phishing campaign lures. Attackers rely on this PaaS platform to host device code phishing pages and bypass domain reputation checks.
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Bryant Smith@flowstate
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Detections.ai Community
7 months ago
50458
This rule detects messages within Microsoft Teams that have been identified by Microsoft Defender for Office 365 as containing phishing attempts, malware, or spam. It specifically looks for messages with 'Phish', 'Malware', or 'Spam' verdicts in the ThreatTypes field, allowing for quick identification and triage of malicious content.
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Pierre Thoor@pthoor
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Detections.ai Community
7 months ago
81150
This rule detects network connections and DNS resolution requests to known typosquatted domains used by the TeamPCP threat actor for command and control (C2) and data exfiltration. These domains are associated with a compromised Trivy scanner. Detection indicates successful execution of the compromised scanner and attempted exfiltration.
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Brandon Rodriguez@BMRodriguez
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Detections.ai Community
7 months ago
50125
This rule detects instances where a user clicks on a URL in an email, and the final redirected URL is hosted on 'workers.dev', which is often abused for phishing campaigns, particularly OAuth device code phishing. It correlates email delivery events with URL click events and analyzes the full redirect chain to identify the final destination.
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Frederico Canhoto@nullwhire
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Detections.ai Community
7 months ago
311355
Detects network connections to a specific suspicious IP address (94.156.181.89) or to domains associated with Cloudflare Tunnel (.trycloudflare.com). This could indicate command and control activity, data exfiltration, or other malicious network communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
110129
Detects the execution of files signed by "TrustConnect Software PTY LTD", a certificate issuer observed signing malware that impersonates legitimate workplace applications to deploy RMM backdoors. This rule identifies processes launched from binaries associated with this suspicious certificate.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
8 months ago
61101
This rule detects specific JavaScript obfuscation patterns used by the Coruna exploit kit framework. The kit was observed being used by multiple threat actors, including UNC6353 and UNC6691. The rule looks for two distinct patterns in process command lines: a map/join/fromCharCode obfuscation pattern and an integer XOR obfuscation pattern, typically executed by JavaScript-enabled processes like web browsers or scripting hosts.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
8 months ago
8074
Detects DNS queries for domains associated with an active adversary-in-the-middle (AiTM) phishing campaign targeting AWS credentials.
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Tim Peck@timpeck
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Detections.ai Community
8 months ago
11270
Intellexa PREYHUNTER - HTTP response contains distinctive iOS build/artifact strings
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Daniel Jeremiah@daniyyell
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Detections.ai Community
8 months ago
1047
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