Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a pattern where a single source IP address performs multiple successful authentications across different cloud account identifiers within a short timeframe. This behavior is indicative of automated credential spraying, multi-agent automated access, or potential account takeover activity targeting multiple accounts within a cloud environment.
Detects successful remote logons to network devices (routers, VPNs, NAS) using the 'admin' account. This pattern is indicative of credential spraying or brute-force attacks targeting weak default credentials on externally facing management interfaces, often associated with botnets or threat actors performing reconnaissance and initial access operations.
Detects incoming HTTP requests to Microsoft Exchange servers that match patterns indicative of exploitation attempts for the ProxyLogon SSRF vulnerability (CVE-2021-26855). This includes detecting specific manipulation of the Autodiscover service and the injection of X-BEResource or X-AnonResource-Backend headers, which were commonly used during the initial access phase of this campaign.
Detection rules identifying suspicious communication patterns associated with Dahua P2P Cloud Relay devices, including WSSE authentication attempts and device probing to known cloud relay endpoints. These patterns are consistent with reconnaissance and exploitation activity against IoT devices within the context of Operation CameraSwarm.
Detects anomalous POST requests containing SharePoint 'MSOTlPn_' ToolPane markup directed at pages other than the expected 'ToolPane.aspx'. This pattern is characteristic of attempts to exploit the SPUtility.EnsureAuthentication bypass vulnerability, allowing attackers to access or execute operations on SharePoint pages without proper authentication.
Detects login attempts to source code repositories and developer tooling (GitHub, GitLab, Bitbucket, Azure DevOps, Slack, Visual Studio Code) originating from unmanaged or non-compliant devices, excluding traffic originating from known corporate network ranges.
Detects instances where a user grants OAuth application permissions to GitHub or Slack shortly (within 30 minutes) after signing into a low-trust application (Discourse or OpenAI Community), suggesting a potential session hijacking or trusted-relationship abuse scenario where an attacker leverages an existing SSO session to authorize malicious applications.
Detects incoming HTTP requests to Microsoft Exchange servers that match patterns indicative of exploitation attempts for the ProxyLogon SSRF vulnerability (CVE-2021-26855). This includes detecting specific manipulation of the Autodiscover service and the injection of X-BEResource or X-AnonResource-Backend headers, which were commonly used during the initial access phase of this campaign.
Detects alerts that reference specific CVEs historically exploited by the threat group QTFY against internet-facing applications, including common vulnerabilities in Pulse Secure, FortiOS, Citrix ADC, Exchange, F5 BIG-IP, Log4Shell, and others, when the alert severity is Medium or High and contains indicators of exploit or initial access.
Detects DNS queries, TLS SNI headers, or HTTP Host headers containing patterns consistent with IT-support-themed vishing lure domains, specifically 'helpdesk-support-office-#.com'. Such domains are often used to impersonate technical support services to facilitate social engineering, credential harvesting, or malware delivery.
Detects DNS queries and TLS SNI traffic associated with known authentication-themed lure domains often used in phishing campaigns. These domains mimic multi-factor authentication (MFA) registration or SSO setup processes to deceive users into credential theft.
Detects alerts that reference specific CVEs historically exploited by the threat group QTFY against internet-facing applications, including common vulnerabilities in Pulse Secure, FortiOS, Citrix ADC, Exchange, F5 BIG-IP, Log4Shell, and others, when the alert severity is Medium or High and contains indicators of exploit or initial access.
Detects successful remote logons to network devices (routers, VPNs, NAS) using the 'admin' account. This pattern is indicative of credential spraying or brute-force attacks targeting weak default credentials on externally facing management interfaces, often associated with botnets or threat actors performing reconnaissance and initial access operations.
Detects alerts that reference specific CVEs historically exploited by the threat group QTFY against internet-facing applications, including common vulnerabilities in Pulse Secure, FortiOS, Citrix ADC, Exchange, F5 BIG-IP, Log4Shell, and others, when the alert severity is Medium or High and contains indicators of exploit or initial access.
Detects Google Workspace login activity that's classified as suspicious by Google.
Detects instances where a user grants OAuth application permissions to GitHub or Slack shortly (within 30 minutes) after signing into a low-trust application (Discourse or OpenAI Community), suggesting a potential session hijacking or trusted-relationship abuse scenario where an attacker leverages an existing SSO session to authorize malicious applications.
Detects instances where a user grants OAuth application permissions to GitHub or Slack shortly (within 30 minutes) after signing into a low-trust application (Discourse or OpenAI Community), suggesting a potential session hijacking or trusted-relationship abuse scenario where an attacker leverages an existing SSO session to authorize malicious applications.
Detects instances where a user grants OAuth application permissions to GitHub or Slack shortly (within 30 minutes) after signing into a low-trust application (Discourse or OpenAI Community), suggesting a potential session hijacking or trusted-relationship abuse scenario where an attacker leverages an existing SSO session to authorize malicious applications.
This rule detects attempts to download known malicious NPM packages from the public npm registry (registry.npmjs.org) by monitoring network connection logs. It specifically looks for tarball (.tgz) downloads of packages and versions that have been identified as compromised or malicious. The rule extracts the package name and version from the download URL and compares it against a predefined list of malicious packages for high-fidelity detection.
This rule identifies sign-in events or alerts that are explicitly flagged by security intelligence as originating from IP addresses associated with known malicious or attacker infrastructure.
This rule detects network activity associated with GhostCode phishing campaigns. It monitors for suspicious TLS SNI fields and HTTP Host headers matching known device-code phishing subdomain patterns (e.g., [service]-access-[8-chars].[domain]). Additionally, it detects requests to specific known malicious hostnames and high-entropy URI paths indicative of phishing kit redirects.
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