Detections

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

1,632 detections

Detects instances where a user grants an OAuth application permissions for high-privilege scopes such as 'mail.read', 'files.readwrite', or 'offline_access'. This behavior is frequently indicative of OAuth consent phishing campaigns targeting Microsoft Entra ID environments to gain unauthorized access to user data and maintain persistence via stolen access tokens.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
306
Detects the creation of .amazonq/mcp.json or mcp.json files within repository directories following a git clone operation. This behavior is associated with the exploitation of vulnerabilities (such as CVE-2026-12957) where attackers use malicious job-interview repositories to trigger automatic execution of arbitrary MCP (Model Context Protocol) servers in the Amazon Q Developer extension in VS Code, potentially leading to unauthorized credential or sensitive data access.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Detects incoming phishing emails sent from personal Gmail accounts that attempt to impersonate law firms by using legal-themed subjects (e.g., lawsuits, subpoenas, cease and desist). The rule specifically identifies the use of URL shorteners commonly used to obfuscate credential-harvesting destinations. The detection relies on email metadata and subject line patterns to identify potential spearphishing attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
407
Detects messages sent within Microsoft Teams from an external tenant that contain potentially malicious indicators, such as URL shorteners, external links, or references to executable file extensions. This rule is designed to identify potential spearphishing or social engineering attempts originating from external Microsoft 365 tenants.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
707
Detects incoming emails containing suspicious legal-themed subjects (e.g., subpoenas, copyright infringement) from Gmail domains that include shortened URLs (e.g., bit.ly, goo.gl). The rule also checks for successful SPF or DKIM authentication results, which are common in mass phishing campaigns to bypass initial spam filters.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Detects instances where a user grants an OAuth application sensitive permissions, which could indicate an illicit consent grant attack where an adversary lures a user into authorizing a malicious application to access their email, files, or directory data.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
306
Detects messages sent within Microsoft Teams from an external tenant that contain potentially malicious indicators, such as URL shorteners, external links, or references to executable file extensions. This rule is designed to identify potential spearphishing or social engineering attempts originating from external Microsoft 365 tenants.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
406
Detects HTTP POST requests to known phishing kit endpoints 'panel_track.php' or 'verify_api.php', which are associated with the Montana Empire credential harvesting campaign.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
103
Detects network connections from common browser processes and script execution engines to the known Payroll Pirate (Storm-2755 / Storm-2657) phishing domain 'bluegraintours.com', which is associated with Adversary-in-the-Middle (AiTM) session cookie and OAuth token harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
This rule detects suspicious sign-in attempts to Microsoft services (login.microsoftonline.com, graph.microsoft.com, outlook.office365.com) that occur within 30 minutes of a user clicking on a URL associated with these services. The sign-in is considered suspicious if it originates from a user agent commonly used by automated tools (e.g., axios, curl, python-requests, httpclient, Go-http-client) and is flagged with a 'atRisk' or 'high' risk level by Azure AD. This combination suggests a potential credential compromise following a phishing attempt, where an attacker might be using automated tools to leverage stolen credentials.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
105
Detects web proxy traffic containing links to lookalike recruitment portals using specific typosquatting suffixes (e.g., .com.de) and URL paths (/careers/auth). These patterns are linked to UNC1549, an adversary identified as targeting aerospace and defense organizations with fake React-based recruitment lures.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects DNS queries for the domain 'teledyneflir.com.de', which is known to be used by the threat actor UNC1549 as a fake recruitment portal to conduct phishing campaigns impersonating the Teledyne FLIR careers site.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects two distinct suspicious patterns indicative of OAuth consent abuse and browser-based credential theft. The first pattern identifies non-Microsoft script interpreters or binaries initiating network connections to Microsoft's OAuth endpoints. The second pattern identifies unauthorized processes attempting to access or modify sensitive browser data files (e.g., 'Login Data', 'Cookies') which are typically reserved for browser-specific processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects phishing links delivered through Microsoft Teams or Slack messages
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
2010
This rule detects when a user clicks on a URL that contains a domain identified as malicious. The rule specifically looks for `UrlClickEvents` where the extracted domain from the URL matches any of the domains listed in the `malicious_domains` array. This can indicate a successful phishing attempt or an accidental click on a known malicious link.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
103
This rule detects network connections to a list of domains identified as associated with phishing activities associated with Crimson Kingsnake. Monitoring these connections can help identify compromised systems or users attempting to access malicious sites.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
203
Detects signs of Adversary-in-the-Middle (AiTM) phishing where a login attempt produces a reprocess error (50199) or result code 90014, immediately followed by suspicious activity using specific Firefox user-agent versions known to be associated with Tycoon 2FA reverse proxy session token capture tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Correlates phishing email delivery with subsequent communication to attacker-controlled domains.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
104
This rule detects URLs that contain common redirection or link parameters (u=, url=, redirect=, r=, link=, target=, dest=) where the value of the parameter is a long, alphanumeric string that appears to be an encoded domain. This pattern can indicate attempts to obfuscate the true destination of a link, often seen in phishing campaigns or malicious redirection attempts. The rule specifically looks for encoded parameters containing common top-level domains like .com, .net, or .org.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
004
Detects a browser session that contacts an EvilTokens Device Code phishing endpoint (/api/device/status/) and then immediately navigates to onedrive.live.com. This indicates that the attacker's backend successfully returned 'status:completed' and the phishing kit executed a window.location.replace to redirect the victim to OneDrive after token capture.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
10021
Detects a successful authentication event (including MFA success) immediately followed by another successful authentication for the same user account from a different IP address or user agent, within a 10-minute window. This behavioral pattern is often indicative of session hijacking or adversary-in-the-middle (AiTM) phishing attacks where an attacker reuses a session token obtained from a victim.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
3013
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