Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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'Rule helps to detect Powershell user-agent activity by an unusual process other than a web browser.'
Jupyter, otherwise known as SolarMarker, is a malware family and cluster of components known for its info-stealing and backdoor capabilities that mainly proliferates through search engine optimization manipulation and malicious advertising in order to successfully encourage users to download malicious templates and documents. This malware has been popular since 2020 and currently is still active as of 2021.
'This query identifies matches based on domain IOCs related to KNOTWEED against Microsoft Defender for Endpoint device network connections'
'Malware can use IP address to communicate with C2.'
Qakbot operators have been abusing the Craigslist messaging system to send malicious emails. These emails contain non-clickable links to malicious domains impersonating Craigslist, which the user is instructed to manually type into the address bar to access.
Intent:
- Use MTP capability to look for insider threat potential risk indicators
- Indicators would then serve as the building block for insider threat risk modeling in subsequent tools
Definition of Insider Threat:
"The potential for an individual who has or had authorized access to an organization's assets to use their access, either maliciously or unintentionally, to act in a way that could negatively affect the organization."
This collection of queries describes the different indicators that could be used to model and look for patterns suggesting an increased risk of an individual becoming a potential insider threat.
Note: no single indicator should be used as a lone determinant of insider threat activity, but should be part of an overall program to understand the increased risk to your organization's critical assets. This in turn is used to feed an investigation by a formal insider threat program to look at the context associated with the whole person to understand the implication of a set of indicators.
- Use MTP capability to look for insider threat potential risk indicators
- Indicators would then serve as the building block for insider threat risk modeling in subsequent tools
Definition of Insider Threat:
"The potential for an individual who has or had authorized access to an organization's assets to use their access, either maliciously or unintentionally, to act in a way that could negatively affect the organization."
This collection of queries describes the different indicators that could be used to model and look for patterns suggesting an increased risk of an individual becoming a potential insider threat.
Note: no single indicator should be used as a lone determinant of insider threat activity, but should be part of an overall program to understand the increased risk to your organization's critical assets. This in turn is used to feed an investigation by a formal insider threat program to look at the context associated with the whole person to understand the implication of a set of indicators.
'Rule helps to detect empty and unusual user agent indicating web browsing activity by an unusual process other than a web browser.'
Microsoft has observed attackers who have gained entry to an environment via the Log4J vulnerability utilizing uncommon PowerShell flags to communicate to command-and-control infrastructure.
'This query looks for Microsoft Defender Antivirus detections with the family names used by KNOTWEED'
BazaCall is a campaign that manipulate users into calling a customer support center, where they are instructed to download an Excel file to unsubscribe from a phony service. When the user opens the Excel file, they are prompted to enable a malicious macro that infects their device with BazaLoader.
This query surfaces connections to the distinctive .xyz domains that the BazaCall campaign uses to host malicious Excel files.
This query surfaces connections to the distinctive .xyz domains that the BazaCall campaign uses to host malicious Excel files.
Detects a specific user agent string and host ('api.dropbox.com') associated with an APT40 Dropbox tool, indicating potential data exfiltration or command and control activity via Dropbox.
Detects HTTP requests containing the URI pattern '/asp.asp?ui=' which is known to be used by the Chafer malware for command and control communication to receive data from its C2 server.
Detects the download of Ursnif malware based on specific URL patterns and a successful HTTP status code. The rule looks for URIs containing a forward slash, '.php?l=', and ending with '.cab', combined with an HTTP status code of 200, indicating a successful download.
Detects Ursnif C2 traffic by identifying specific URL patterns in proxy logs. The rule looks for URIs containing base64-like encoding indicators ('_2f', '_2b') in combination with specific file extensions and directory names ('.avi' and '/images/'). This combination is indicative of Ursnif malware's command and control communication.
Detects network communication patterns associated with the Turla ComRAT malware, specifically looking for HTTP/HTTPS requests containing '/index/index.php?h=' in the URI. This pattern is indicative of ComRAT's command and control (C2) communication.
Detects DNS queries initiated by "QuickAssist.exe" to the Microsoft Quick Assist primary endpoint. This activity is often associated with social engineering attacks leading to ransomware, where threat actors misuse Quick Assist to gain remote access to a victim's system.
This rule detects when a file is downloaded via HTTP and subsequently created on a system, where the file's SHA256 hash and the URL it was downloaded from are identified as malicious through VirusTotal relationships. It correlates HTTP network events with file creation events, ensuring the download precedes the file creation, and then enriches this information with VirusTotal data to confirm the malicious nature of the file and its source URL.
Check to see if Smart screen is working. This can also be used to track users going to websites.
This rule detects web traffic to a recently expired domain followed by the creation of an executable (.exe) file on the same host. It correlates network access events with WHOIS data to identify expired domains and then looks for subsequent file creation events where the file path ends with '.exe'. The file creation must occur after the network access event on the same principal hostname.
Detects network connections with a suspicious user-agent string containing "katz-ontop", which may indicate Katz Stealer activity. This specific user-agent string is likely hardcoded or characteristic of the malware's C2 communication.
Detects DNS queries initiated by "QuickAssist.exe" to Microsoft Quick Assist primary endpoint that is used to establish a session.
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