Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
150 detections
Filters
Last updated
All Time
Detection languages
85
24
19
13
5
Contributors
31
25
20
13
12
Categories
127
75
30
25
16
Platforms
51
41
31
27
25
Products / Services
37
34
27
19
13
MITRE Techniques
18,116
15,638
12,585
8,395
6,225
CVEs
5
1
IDS Classtypes
2
IDS Protocols
2
Detects the creation or exposure of public repositories, releases, or gists under a personal GitHub account that utilize naming conventions associated with the 'PixelLeak' workaround. This technique allows adversaries to make previously private screenshots, recordings, or internal assets publicly accessible by hosting them in public personal repositories or releases.
Detects the creation or exposure of public repositories, releases, or gists under a personal GitHub account that utilize naming conventions associated with the 'PixelLeak' workaround. This technique allows adversaries to make previously private screenshots, recordings, or internal assets publicly accessible by hosting them in public personal repositories or releases.
Detects anomalous large-scale data export operations in Google BigQuery (via jobs.insert or jobs.query) performed by identities (service accounts, API keys) not previously observed in the environment. This activity is indicative of credential abuse where stolen third-party analytics or monitoring service tokens are utilized for illicit data exfiltration, a behavior consistent with tactics employed by threat actors such as ShinyHunters.
Detects high-volume, anomalous data read operations performed by the Gainsight integration service account within Salesforce, which may indicate unauthorized use of the integration token for data exfiltration.
Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects anomalous bursts of cloud secret or parameter retrieval API calls followed shortly by administrative actions that expose data or credentials (such as bucket policy changes or new key creation). This behavior is consistent with an adversary staging compromised credentials to exfiltrate data or maintain persistence.
Detects access to Microsoft Graph API endpoints related to mail, contacts, drive, or messages from a device that was registered within the last 24 hours. This behavior may indicate an adversary using stolen session tokens or credentials to access cloud-based email and data shortly after device registration or enrollment.
Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
Detects usage of the 'One Outlook Web' application (ApplicationId 20893) to access Microsoft 365 Exchange REST APIs. This activity is a potential precursor to high-volume mailbox data exfiltration and should be monitored for volumetric anomalies.
Detects high-volume file download or data access events across SharePoint, OneDrive, and Exchange Online. This rule monitors for requests from Python-based HTTP libraries (httpx, requests, urllib) targeting Microsoft Graph API endpoints, which is a pattern indicative of automated bulk data collection or exfiltration, often observed in campaigns like Storm-3121 or Storm-3032.
Detects a sequence of user activities—authentication, MFA registration, Graph API reconnaissance, and data exfiltration—originating from a rotating set of distinct source IP addresses for the same user within a 24-hour period. This behavior is indicative of coordinated infrastructure rotation tactics used by threat actors in cloud intrusions.
Detects anomalous high-volume access to Exchange Online via the One Outlook Web/Office client, potentially indicating data exfiltration or automated mass email access by a compromised account.
Detects anomalous data access or collection activity across multiple M365 workloads (SharePoint, OneDrive, Exchange). The rule identifies users exhibiting high volumes of file or mail access across at least two distinct workloads within a one-hour window, which may indicate account compromise, bulk data exfiltration, or unauthorized persistence via mailbox rules.
Detects anomalous data access or collection activity across multiple M365 workloads (SharePoint, OneDrive, Exchange). The rule identifies users exhibiting high volumes of file or mail access across at least two distinct workloads within a one-hour window, which may indicate account compromise, bulk data exfiltration, or unauthorized persistence via mailbox rules.
Page 2 of 8