Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
696 detections
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Detects malware using Pastebin as a dead drop resolver for C2 config
This rule detects suspicious JavaScript or HTML files that attempt to cloak browser fingerprints by manipulating WebGL renderer information, timezone settings, touch support, and tampering with the browser console or developer tools. It specifically looks for the co-occurrence of keywords related to these techniques within file names or the effective username associated with the file event.
Detects suspicious NPM package installations that may indicate typosquatting or supply chain compromise attempts. The rule looks for `npm install` or `npm add` commands with package names containing special characters (@, ^, ~) and common prefixes used in typosquatting (typosquatting-, common-, util-), while excluding 'json' to reduce false positives. A high count of such installations within an hour from a single user and computer is flagged.
This rule detects the creation or modification of files with specific SHA256 hashes known to be associated with adware. It monitors device file events for these hashes and logs instances where they are created or modified.
Detects serverless function deployments used as C2 infrastructure
This rule identifies HTTP requests containing specific URL affiliate tracking parameters associated with the "Borrowed Trust" SEO poisoning campaign. The campaign utilizes these parameters to monetize its activities, often redirecting users to gambling sites. Detection is based on the presence of known affiliate codes in `RemoteUrl` from `DeviceNetworkEvents` or `RequestURL` from `CommonSecurityLog` (proxy/firewall logs).
Detects API access to VPS providers for spinning up attack infrastructure
This rule detects events generated by Microsoft Defender for Endpoint's Attack Surface Reduction (ASR) rules in either Audit or Block mode.
(**Toggle by commenting out line 94/95. Default is both Audit & Block**).
It covers all 19 ASR rules by matching ActionType patterns or falling back to GUIDs found in AdditionalFields. The rule extracts the friendly name of the ASR rule, the mode (Audit/Block), and relevant process information.
This rule is especially noisy when ran over an entire environment. It's recommended to scope using Audit/Block, Machine Group, and filtering to the rules you want by commenting others out.
(**Toggle by commenting out line 94/95. Default is both Audit & Block**).
It covers all 19 ASR rules by matching ActionType patterns or falling back to GUIDs found in AdditionalFields. The rule extracts the friendly name of the ASR rule, the mode (Audit/Block), and relevant process information.
This rule is especially noisy when ran over an entire environment. It's recommended to scope using Audit/Block, Machine Group, and filtering to the rules you want by commenting others out.
Detects download of malware samples from sharing platforms
Detects bandwidth hijacking through peer-to-peer botnet participation
Detects API access to VPS providers for spinning up attack infrastructure
Detects a device making an unusually high number of unique outbound network connections to different remote IP addresses within a short time frame (5 minutes). This behavior can indicate various malicious activities such as network scanning, botnet activity, or data exfiltration to multiple external hosts.
This rule detects attempts to sell or exchange VPN credentials by looking for the keywords "vpn" and "credentials" in the client body of HTTP traffic. This could indicate an attacker attempting to monetize stolen VPN access or an insider threat attempting to leak sensitive access information.
This rule detects HTTP POST requests to known paste sites (pastebin.com, paste.ee, hastebin.com) with a data size greater than 500 bytes. This behavior is often associated with adversaries using these sites to host malicious payloads or exfiltrate data.
This rule detects processes making a high volume of successful network connections (3 or more within an hour) to domains containing 'codeartifact' or 'artifactory'. This behavior could indicate an attempt to download tools, libraries, or other artifacts, potentially as part of an ingress tool transfer or supply chain attack.
Detects outbound network traffic to specific Hong Kong backend fleet subnets (AS398478) identified as being utilized by the 'Borrowed Trust' threat actor. This infrastructure is used to manage redirection and affiliate attribution for their SEO poisoning campaign.
This rule detects a brute-force attack against a POP3 email account. It triggers when 20 or more TCP connections are made to port 995 (POP3S) on the HOME_NET within a 30-second window from the same source IP address. This pattern is indicative of an attacker repeatedly attempting to guess credentials.
This rule detects attempts to upload potentially malicious script or executable files to GitHub's API. It specifically looks for HTTP POST requests to 'api.github.com' with a URI containing '/contents/' and file data matching common executable or script file extensions such as '.exe', '.dll', '.ps1', '.vbs', '.bat', or '.hta'. This activity could indicate an attacker attempting to stage malicious code in a code repository.
This rule detects outbound TCP connections on port 9050, which is commonly used by the Tor anonymity network. The rule is configured to trigger an alert if there are at least 3 such connections from the same source within a 60-second window, indicating potential use of Tor. The message suggests this activity is related to accessing an Initial Access Broker market.
Detects wildcard TLS certificates on cheap TLDs commonly used for attack infrastructure
This rule detects attempts to create new accounts on major cloud platforms (AWS, Azure, Google Cloud) by monitoring HTTP traffic for specific hostnames and the 'signup' keyword in the URI. It specifically looks for connections to 'aws.amazon.com', 'portal.azure.com', or 'console.cloud.google' with 'signup' in the URI, indicating a potential account creation activity.
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