Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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IDS Protocols
1
Detects potential supply chain or local configuration tampering involving the Model Context Protocol (MCP). The rule identifies modification of common MCP configuration files, followed by the execution of a tool runner (node, python, npx) that spawns a scripting shell, which subsequently initiates an unusual outbound network connection.
The following analytic identifies `node.exe` directly executing a single `.js` script located in the same directory it was launched from, where that directory is an unusual location such as a user profile, PerfLogs, ProgramData, or Temp folder.
Legitimate Node.js application, module, and package manager directories are excluded.
This pattern is commonly associated with malware loaders and second-stage payloads that leverage the Node.js runtime to execute JavaScript outside of a typical development or application context.
Legitimate Node.js application, module, and package manager directories are excluded.
This pattern is commonly associated with malware loaders and second-stage payloads that leverage the Node.js runtime to execute JavaScript outside of a typical development or application context.
Detects various system utilities executing files or payloads staged in user-specific temporary directories (%AppData%\Local\Temp). This pattern is consistent with malware loaders (such as the Sauron Loader) that write payloads to the Temp folder before utilizing trusted Windows binaries (LOLBins) like rundll32, regsvr32, powershell, or wscript for execution. It also tracks potential driver installation or direct process memory access attempts from the same location.
Detects execution of 'rnpkeys.exe' and associated DLLs ('rnp.dll' or 'tdwp.dll') located within the '\ProgramData\keyroll\' directory, which is a common persistence or staging location for malicious activity.
Detects the execution of known remote access and support tools (Quick Assist, Microsoft Remote Assistance, or AnyDesk) on a host that has recently received a high volume of emails (over 50). This behavior often aligns with social engineering campaigns where a user is instructed to download or launch a remote support tool under false pretenses.
Detects the execution of attrib.exe spawned by known Sauron Loader process names (rnpkeys.exe, rnp.exe, or tdwp.exe). The rule flags instances where attrib.exe is executed without its typical command-line arguments (file attribute flags), suggesting it is being used as a surrogate process for injected C2-tasked shellcode.
Detects known AgtaBackup RAT staged installers and dropped payload via SHA-256 hash or characteristic filenames
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
Detects instances where a Claude process accesses a 'SKILL.md' file, followed closely by a suspicious command execution on the same device. The rule specifically targets command-line activity that involves encoding, download-and-execute patterns, staging in sensitive directories, or communication with suspicious domains/IPs, which is indicative of a supply-chain or poisoned agent-skill file attack.
Detects the use of native Windows utilities (vssadmin, wmic, wbadmin, bcdedit) to inhibit system recovery by deleting shadow copies, backup catalogs, or disabling automatic recovery features. This behavior is commonly observed in ransomware attacks.
This rule detects potential DNS tunneling activity by identifying DNS requests with suspicious characteristics, such as the use of TXT/NULL query types, high-entropy subdomains, or oversized queries. It further aggregates these suspicious requests per parent domain and flags scenarios where a high volume of requests or unique subdomains are observed, indicating possible data exfiltration or C2 communication.
Detects a sequence of events where a single user receives an unusually high volume of inbound emails (potentially vishing-related), followed shortly thereafter by the user executing common remote assistance or remote access tools (e.g., Quick Assist, AnyDesk). This pattern is consistent with social engineering tactics used in IT-support impersonation scams to facilitate the delivery of malware such as Sauron Loader.
This rule detects potentially malicious C2 communication by monitoring high-frequency HTTP POST requests from the 'rnpkeys.exe' process. It aggregates network events over 30-second windows and flags activity exceeding a threshold of 5 POST requests directed at known suspicious domains or specific high-port network destinations, which is characteristic of beaconing or data exfiltration activity.
Detects the use of standard command-line utilities (curl, wget) by shell processes (bash, sh) on macOS when fetching a file with a specific force flag. This pattern is indicative of automated attempts to bypass existing file checks or force the download of remote payloads.
Detects instances where the rnpkeys process (likely used for GPG-related operations) spawns common Windows living-off-the-land binaries such as rundll32, regsvr32, msiexec, cmd, powershell, or wscript. It specifically monitors for patterns indicating potential script execution from temporary folders, the bypass of PowerShell execution policies, or the installation of products via msiexec, which may indicate malicious activity following initial compromise or delivery of a malicious payload.
This rule detects malicious activity by monitoring for specific known indicators, including hashes of malicious files (ProcessRollup2), network connections to known C2 infrastructure (NetworkConnectIP4), and URL clicks (UrlClick) associated with malicious domains or paths. It acts as a multi-stage indicator correlation rule to identify execution or communication with known threats.
Detects instances where a suspicious PowerShell, mshta, or pwsh command, typically involving download or obfuscation patterns, is launched as a child process of Windows Explorer within two minutes of a modification to the Explorer RunMRU registry key. This behavior is indicative of an adversary attempting to achieve execution, often following user interaction or persistence triggers.
This rule detects potential account compromise by identifying 'impossible travel' scenarios where successful logins for the same user occur from different geolocations within a short timeframe (less than 1 hour), specifically when at least one authentication event uses a refresh or session token rather than interactive MFA. It correlates these suspicious logins with previous endpoint infostealer detections on the same device within the last 72 hours, indicating that the token may have been stolen by malware.
Detects instances where a process attempts to delete its own executable file image shortly after being launched. This behavior is often associated with malware attempting to minimize its forensic footprint, such as self-deleting installers or RAT (Remote Access Trojan) components that move to a different location or execute from memory.
Detects the installation or configuration of the NvFsFilter (Alinubx.sys) persistence driver, often associated with malicious behavior that continuously terminates security software processes to allow for persistent unauthorized activity after system reboots.
Detects the execution of cloud CLI tools (aws, az, gcloud) using Unix shells (bash, sh) to perform sensitive operations such as listing secrets, keys, or metadata, which may indicate credential discovery or exfiltration.
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