Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects a user account performing its first-ever GitHub OAuth or repository access within a short timeframe (30 minutes) after authenticating to a designated low-trust OpenAI community forum. This pattern is designed to identify potential adversary activity where a compromised or newly created account is used to pivot from a low-trust environment to corporate repository access.
Detects suspicious PowerShell execution initiated by explorer.exe containing encoded commands, correlated with concurrent activity in the Windows RunMRU registry key or execution of rundll32.exe referencing 'WindowsUpdate.log'. This pattern is frequently used to mask malicious activity and maintain stealth during fileless execution or persistence operations.
This rule detects email-based business fraud (BEC) targeting the organization, specifically looking for executive impersonation paired with financial lure terminology and sender domain mismatches. It utilizes both a blocklist of known fraudulent sender indicators (domains and addresses) and a heuristic approach analyzing discrepancies between the envelope sender domain and the header sender domain combined with executive titles in display names and invoice-related keywords.
Detects a Parallels appliance tar archive containing a directory entry name with an embedded double-quote character followed by the --use-compress-program flag, characteristic of the ParaShells (CVE-2026-90894) tar argument-injection payload
Detects execution of the tar utility by the prl_disp_service process with a command line pattern indicative of command injection via the --use-compress-program flag. This technique is often used to execute arbitrary commands by embedding them within the compression program argument.
Detects execution of the tar utility by the prl_disp_service process with a command line pattern indicative of command injection via the --use-compress-program flag. This technique is often used to execute arbitrary commands by embedding them within the compression program argument.
Detects execution of the tar utility by the prl_disp_service process with a command line pattern indicative of command injection via the --use-compress-program flag. This technique is often used to execute arbitrary commands by embedding them within the compression program argument.
Detects the 'prl_disp_service' process spawning 'tar' with the '--use-compress-program' flag set to an unconventional binary. This behavior is associated with the exploitation of ParaShells (CVE-2026-90894), where an attacker leverages the compression program hook in 'tar' to execute arbitrary commands with root privileges.
Detects the 'prl_disp_service' process spawning 'tar' with the '--use-compress-program' flag set to an unconventional binary. This behavior is associated with the exploitation of ParaShells (CVE-2026-90894), where an attacker leverages the compression program hook in 'tar' to execute arbitrary commands with root privileges.
Detects the 'prl_disp_service' process spawning 'tar' with the '--use-compress-program' flag set to an unconventional binary. This behavior is associated with the exploitation of ParaShells (CVE-2026-90894), where an attacker leverages the compression program hook in 'tar' to execute arbitrary commands with root privileges.
Detects GitHub OAuth authorization, repository cloning, or ZIP downloads from source IP addresses that have not been observed for the specific actor within the past 30 days. This rule helps identify potential account compromise or token theft where an attacker attempts to access repository data from a new location, while specifically excluding bot/service accounts known for rotating CI infrastructure IPs.
Detects GitHub OAuth authorization, repository cloning, or ZIP downloads from source IP addresses that have not been observed for the specific actor within the past 30 days. This rule helps identify potential account compromise or token theft where an attacker attempts to access repository data from a new location, while specifically excluding bot/service accounts known for rotating CI infrastructure IPs.
Detects GitHub repository actions (git.clone, oauth_authorization.create, repo.download_zip) from actor IPs not seen for that user in the prior 30 days, requiring either 3+ actions or activity across 2+ distinct repositories from the new IP within the same day. Aggregating to burst/multi-repo behavior (rather than alerting on a single new-IP event) filters out one-off false positives from travel, VPNs, or dynamic IP reassignment while still surfacing sustained anomalous access patterns consistent with account compromise or bulk exfiltration.
Detects GitHub repository actions (git.clone, oauth_authorization.create, repo.download_zip) from actor IPs not seen for that user in the prior 30 days, requiring either 3+ actions or activity across 2+ distinct repositories from the new IP within the same day. Aggregating to burst/multi-repo behavior (rather than alerting on a single new-IP event) filters out one-off false positives from travel, VPNs, or dynamic IP reassignment while still surfacing sustained anomalous access patterns consistent with account compromise or bulk exfiltration.
Detects the loading of 'libcurl.dll' or related DLL patterns from suspicious directories such as '\Microsoft\Crypto\RuntimeBroker\', often associated with process masquerading or side-loading activities. The rule also monitors for the execution of suspicious binaries ('Tax_Notice_45594.exe') or binaries that mimic 'Notepad++' metadata from within these paths.
Detects instances where cvtres.exe performs suspicious actions such as ProcessInjected, CreateRemoteThread, or OpenProcessApiCall, excluding known legitimate development and build tool contexts. This activity is highly anomalous as cvtres.exe is a resource object converter and should not be interacting with the memory of other processes.
This rule detects either the presence of known malicious image files (based on SHA256 hashes) on a device or network connection attempts to known malicious URLs hosting such files. This pattern is commonly associated with steganographic techniques used to hide malicious payloads within image files for C2 or delivery.
Detects JFrog Artifactory access-token issuance events on/after the suspected compromise window (2026-08-28) where the token is tied to the anonymous identity, granted administrator scope, or has no attributable initiating user, per Fastly's remediation guidance.
Detects multiple AWS API calls (Publish, GetCallerIdentity, ListTopics) originating from a specific IP address (23.234.84.102) associated with a Zapier SNS sender. This rule monitors for potentially unauthorized or anomalous API usage patterns by identifying repeated, successful, and non-error events from a known source that may indicate misuse or compromise of an integration account.
Detects multiple AWS API calls (Publish, GetCallerIdentity, ListTopics) originating from a specific IP address (23.234.84.102) associated with a Zapier SNS sender. This rule monitors for potentially unauthorized or anomalous API usage patterns by identifying repeated, successful, and non-error events from a known source that may indicate misuse or compromise of an integration account.
Detects multiple AWS API calls (Publish, GetCallerIdentity, ListTopics) originating from a specific IP address (23.234.84.102) associated with a Zapier SNS sender. This rule monitors for potentially unauthorized or anomalous API usage patterns by identifying repeated, successful, and non-error events from a known source that may indicate misuse or compromise of an integration account.
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