Detections

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

545 detections

Detects potential zero-click LLM prompt injection attacks against Microsoft 365 Copilot. The rule correlates Microsoft 365 Copilot activity involving external/untrusted URLs or domains with recent inbound email activity to the same user. This pattern is designed to identify scenarios where an attacker leverages an inbound email to trigger a Copilot interaction with malicious external content, potentially leading to unauthorized data access or exfiltration.
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Syed Usfar Wasim@nCD24
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Detections.ai Community
4 months ago
10025
This rule detects potential mass emailing or spam activity by identifying instances where a single email account sends more than 100 emails within a one-minute window. This behavior is often characteristic of compromised accounts performing phishing campaigns or bulk unauthorized communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
0016
This rule detects when a user creates two or more email forwarding rules within a one-hour period in Exchange Online. This behavior can indicate an adversary setting up persistence or exfiltration mechanisms for email.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
16015
Detects attempts to exploit Microsoft Exchange vulnerabilities (CVE-2021-34473, CVE-2021-34523, CVE-2021-31207), collectively known as ProxyShell. The rule monitors inbound HTTP requests targeting the /autodiscover/ endpoint with specific path traversal patterns and malicious components used to stage web shells or execute arbitrary commands.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
0010
This rule detects potential brute force attacks against Microsoft Exchange Outlook Web App (OWA) by monitoring for a high volume of 401 Unauthorized status codes from non-internal IP addresses. It also correlates these authentication events with subsequent post-authentication actions, specifically identifying mailbox logins followed by mailbox searching or export requests, which may indicate account compromise and unauthorized data collection or exfiltration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
109
Detects Microsoft Exchange EWS (Exchange.asmx) requests containing a ReferenceAttachment call where the ProviderEndpointUrl parameter points to a non-Microsoft/external domain. This is consistent with SSRF exploitation techniques, such as those observed in CVE-2026-45504, where an attacker-controlled endpoint is provided to Exchange for fetching WOPI properties.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
205
Detects Server-Side Request Forgery (SSRF) attempts targeting Microsoft Exchange via the /autodiscover/ endpoint. The attack leverages a specifically crafted X-BEResource header containing an internal IP address, which is indicative of the CVE-2021-26855 vulnerability used in ProxyLogon exploitation.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
007
Detects attempts to exploit the ProxyShell vulnerability (CVE-2021-34473) in Microsoft Exchange servers. The rule identifies malicious path traversal sequences, specifically utilizing encoding techniques like double URL encoding (%25) or dot-dot-slash characters within requests to the Autodiscover service, aimed at bypassing security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
007
Detects the creation or modification of inbox rules via PowerShell, specifically targeting cmdlets commonly used by attackers to hide phishing indicator emails, security alerts, or C2 communications by moving or deleting them into folders like Junk, Deleted Items, or Archive. The rule monitors for both direct usage on the endpoint and remote administration patterns via Exchange Online/EWS remoting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
Detects phishing emails containing specific Latin placeholder text artifacts, commonly generated by the Faker library, which are often indicative of unconfigured or template-based phishing kits embedded within email bodies or attachments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Detects incoming HTTP requests to Microsoft Exchange servers containing malicious X-AnonResource-Backend or X-BEResource headers, which are indicative of an attempt to exploit the ProxyLogon SSRF vulnerability (CVE-2021-26855).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
105
Detects attempts to exploit the ProxyShell vulnerability (CVE-2021-34473) in Microsoft Exchange servers. The rule identifies malicious path traversal sequences, specifically utilizing encoding techniques like double URL encoding (%25) or dot-dot-slash characters within requests to the Autodiscover service, aimed at bypassing security controls.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
Detects incoming HTTP requests to Microsoft Exchange servers containing malicious X-AnonResource-Backend or X-BEResource headers, which are indicative of an attempt to exploit the ProxyLogon SSRF vulnerability (CVE-2021-26855).
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
This rule detects when a single user removes permissions from 5 or more mailboxes within a one-hour window in an Exchange environment. This activity could indicate an attempt to cover tracks or disrupt access to mailboxes by an attacker.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
405
This rule detects post-exploitation activity on Microsoft Exchange Servers by monitoring for w3wp.exe (IIS worker process) spawning command-line interpreters such as cmd.exe, powershell.exe, or pwsh.exe. This behavior is indicative of an attacker leveraging a web shell, often deployed via the exploitation of vulnerabilities like ProxyLogon (CVE-2021-26855), ProxyNotShell (CVE-2022-41082), or similar remote code execution flaws targeting Exchange endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
208
Detects the creation of web-executable files (e.g., .aspx, .ashx, .php, .jsp, .asmx) within sensitive web root directories (IIS, Exchange, SharePoint) when the writing process is identified as an IIS worker process (w3wp.exe) or an Exchange Unified Messaging worker process (UMWorkerProcess.exe). This activity is highly indicative of web shell deployment for post-exploitation persistence, commonly associated with vulnerabilities like CVE-2021-26855 or CVE-2022-41082.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
208
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 attempts to exploit Microsoft Exchange vulnerabilities (CVE-2021-34473, CVE-2021-34523, CVE-2021-31207), collectively known as ProxyShell. The rule monitors inbound HTTP requests targeting the /autodiscover/ endpoint with specific path traversal patterns and malicious components used to stage web shells or execute arbitrary commands.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
004
This rule detects the creation of new transport rules within Exchange Online. Adversaries may create malicious transport rules to forward emails, bypass security controls, or exfiltrate data. Monitoring the creation of new transport rules can help identify suspicious activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
604
This rule detects two suspicious activities within a user's mailbox: (1) An email flood, where a recipient receives more than 500 emails within a 5-minute window, potentially indicating an attempt to overwhelm or hide secondary emails; and (2) The creation or modification of inbox rules that include actions like deleting or moving messages, which is a common persistence and evasion technique used by attackers to hide C2 or phishing communications.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
8012
Detects potential phishing campaigns by identifying bulk inbound emails sent to generic recipient aliases (e.g., info@, support@) or to empty recipient fields, combined with subject lines referencing urgent legal or compliance matters (e.g., lawsuits, subpoenas, copyright infringement). The rule uses statistical analysis to flag high-volume emails and correlates them across shared body content patterns to identify coordinated mass-mailing campaigns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
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