Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
252 detections
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This analytic detects changes to SNMP community strings on Cisco devices, which could indicate an attacker establishing persistence or attempting to extract credentials. After gaining initial access to network devices, threat actors like Static Tundra often modify SNMP configurations to enable unauthorized monitoring and data collection. This detection specifically looks for the configuration of SNMP community strings with read-write (rw) or read-only (ro) permissions, as well as the configuration of SNMP hosts that may be used to exfiltrate data. These activities are particularly concerning as they may represent attempts to establish persistent access or extract sensitive information from compromised devices.
Detects a user accessing the keys for multiple distinct Azure Storage Accounts in a short period. This behavior is associated with the threat actor Storm-0501, who performs this action for credential access prior to data exfiltration.
Detects the malicious telemetry.js file used in the s1ngularity supply chain attack. This script harvests sensitive developer assets and exfiltrates them to attacker-controlled GitHub repositories.
The analytic identifies a possible non-common browser process accessing its browser user data profile. This tactic/technique has been observed in various Trojan Stealers, such as SnakeKeylogger, which attempt to gather sensitive browser information and credentials as part of their exfiltration strategy. Detecting this anomaly can serve as a valuable pivot for identifying processes that access lists of browser user data profiles unexpectedly. This detection uses a lookup file `browser_app_list` that maintains a list of well known browser applications and the browser paths that are allowed to access the browser user data profiles.
This KQL query searches the ExposureGraphNodes table in Microsoft Defender XDR or Sentinel to identify user accounts whose credentials have been leaked. It focuses on nodes categorized as "identity" and labeled as "user", then extracts detailed identity-related properties such as: Display name, UPN, email address, Account status (enabled/disabled), Job title, department, phone, address, Source provider (e.g., Azure AD, on-prem AD), Account creation time, and whether the account's credentials have been leaked. The query filters and enriches this data, and presents it in a clean, readable format for hunting or triage.
The following analytic detects potential post-exploitation activity related to the Microsoft SharePoint CVE-2025-53770 vulnerability. After successful exploitation via the ToolPane.aspx endpoint, attackers typically deploy a webshell named "spinstall0.aspx" in the SharePoint layouts directory. This detection identifies GET requests to this webshell, which indicates active use of the backdoor for command execution, data exfiltration, or credential/key extraction. Attackers commonly use these webshells to extract encryption keys, authentication tokens, and other sensitive information from the compromised SharePoint server.
KQL Query from file: M365 Copilot Plugins Inventory Analysis
KQL Query from file: Sentinel Timeroasting KQL detection
Detects execution of different log query utilities and commands to search and dump the content of specific event logs or look for specific event IDs.
This technique is used by threat actors in order to extract sensitive information from events logs such as usernames, IP addresses, hostnames, etc.
This technique is used by threat actors in order to extract sensitive information from events logs such as usernames, IP addresses, hostnames, etc.
Detects execution of different log query utilities and commands to search and dump the content of specific event logs or look for specific event IDs.
This technique is used by threat actors in order to extract sensitive information from events logs such as usernames, IP addresses, hostnames, etc.
This technique is used by threat actors in order to extract sensitive information from events logs such as usernames, IP addresses, hostnames, etc.
Detect attempts to query the contents of the event log using command line utilities. Attackers use this technique in order to look for sensitive information in the logs such as passwords, usernames, IPs, etc.
'Identifies an export of the ADFS DKM Master Key from Active Directory.
References: https://blogs.microsoft.com/on-the-issues/2020/12/13/customers-protect-nation-state-cyberattacks/,
https://www.fireeye.com/blog/threat-research/2020/12/evasive-attacker-leverages-solarwinds-supply-chain-compromises-with-sunburst-backdoor.html?1
To understand further the details behind this detection, please review the details in the original PR and subequent PR update to this:
https://github.com/Azure/Azure-Sentinel/pull/1562#issue-551542469
https://github.com/Azure/Azure-Sentinel/pull/1512#issue-543053339
'
References: https://blogs.microsoft.com/on-the-issues/2020/12/13/customers-protect-nation-state-cyberattacks/,
https://www.fireeye.com/blog/threat-research/2020/12/evasive-attacker-leverages-solarwinds-supply-chain-compromises-with-sunburst-backdoor.html?1
To understand further the details behind this detection, please review the details in the original PR and subequent PR update to this:
https://github.com/Azure/Azure-Sentinel/pull/1562#issue-551542469
https://github.com/Azure/Azure-Sentinel/pull/1512#issue-543053339
'
Detect attempts to query the contents of the event log using command line utilities. Attackers use this technique in order to look for sensitive information in the logs such as passwords, usernames, IPs, etc.
Attackers can use Adfind which is administrative tool to gather information about Domain controllers, ADFS Servers. They may also rename executables with other benign tools on the system.
Below query will look for adfind usage in commandline arguments irrespective of executable name in short span of time. You can limit query this to your DC and ADFS servers.
Below references talk about suspicious use of adfind by adversaries.
- https://thedfirreport.com/2020/05/08/adfind-recon/
- https://www.fireeye.com/blog/threat-research/2020/05/tactics-techniques-procedures-associated-with-maze-ransomware-incidents.html
- https://www.microsoft.com/security/blog/2020/12/18/analyzing-solorigate-the-compromised-dll-file-that-started-a-sophisticated-cyberattack-and-how-microsoft-defender-helps-protect/
Below query will look for adfind usage in commandline arguments irrespective of executable name in short span of time. You can limit query this to your DC and ADFS servers.
Below references talk about suspicious use of adfind by adversaries.
- https://thedfirreport.com/2020/05/08/adfind-recon/
- https://www.fireeye.com/blog/threat-research/2020/05/tactics-techniques-procedures-associated-with-maze-ransomware-incidents.html
- https://www.microsoft.com/security/blog/2020/12/18/analyzing-solorigate-the-compromised-dll-file-that-started-a-sophisticated-cyberattack-and-how-microsoft-defender-helps-protect/
'This detection uses Windows security events to look for users reading the local Device Identity Key (Machine Key).
This information can be correlated with other events for additional context and get to use-cases where a
machine key with a transport key together can be used to impersonate an Entra ID joined or registered machine.
Reference: https://o365blog.com/post/deviceidentity/'
This information can be correlated with other events for additional context and get to use-cases where a
machine key with a transport key together can be used to impersonate an Entra ID joined or registered machine.
Reference: https://o365blog.com/post/deviceidentity/'
wifikeys
KQL
Detect if someone run netsh and try to expose WPA keys in clear text
@mattiasborg82.
Blog.sec-labs.com.
@mattiasborg82.
Blog.sec-labs.com.
'This detection uses Security events from the "AD FS Auditing" provider to detect suspicious object identifiers (OIDs) as part EventID 501 and specifically part of the Enhanced Key Usage attributes.
This query checks to see if you have any new OIDs in the last hour that have not been seen in the previous day. New OIDs should be validated and OIDs that are very long, as indicated
by the OID_Length field, could also be an indicator of malicious activity.
In order to use this query you need to enable AD FS auditing on the AD FS Server.
References:
https://www.microsoft.com/security/blog/2022/08/24/magicweb-nobeliums-post-compromise-trick-to-authenticate-as-anyone/
https://docs.microsoft.com/windows-server/identity/ad-fs/troubleshooting/ad-fs-tshoot-logging
'
This query checks to see if you have any new OIDs in the last hour that have not been seen in the previous day. New OIDs should be validated and OIDs that are very long, as indicated
by the OID_Length field, could also be an indicator of malicious activity.
In order to use this query you need to enable AD FS auditing on the AD FS Server.
References:
https://www.microsoft.com/security/blog/2022/08/24/magicweb-nobeliums-post-compromise-trick-to-authenticate-as-anyone/
https://docs.microsoft.com/windows-server/identity/ad-fs/troubleshooting/ad-fs-tshoot-logging
'
This query was originally published in the threat analytics report, Qakbot blight lingers, seeds ransomware
Qakbot is malware that steals login credentials from banking and financial services. It has been deployed against small businesses as well as major corporations. Some outbreaks have involved targeted ransomware campaigns that use a similar set of techniques. Links to related queries are listed under See also.
The following query detects possible use of the system process, esentutl.exe, to look through a user's browser history and steal cookies.
Reference - https://www.microsoft.com/security/blog/2017/11/06/mitigating-and-eliminating-info-stealing-qakbot-and-emotet-in-corporate-networks/
Qakbot is malware that steals login credentials from banking and financial services. It has been deployed against small businesses as well as major corporations. Some outbreaks have involved targeted ransomware campaigns that use a similar set of techniques. Links to related queries are listed under See also.
The following query detects possible use of the system process, esentutl.exe, to look through a user's browser history and steal cookies.
Reference - https://www.microsoft.com/security/blog/2017/11/06/mitigating-and-eliminating-info-stealing-qakbot-and-emotet-in-corporate-networks/
This analytic detects AWS console login events by users who have not previously logged into the AWS console. It uses AWS CloudTrail events and compares them against a baseline of known users. A new user logging into the AWS console could indicate the creation of new accounts or potential unauthorized access, which could lead to unauthorized access to AWS resources, data exfiltration, or further exploitation within the cloud environment.
Detects file access requests to potentially sensitive files hosted on the Windows Sysvol share by applications that are not commonly expected to access these files. This can indicate an attempt to gather credentials or configuration details from Group Policy Objects.
This analytic identifies when Office 365 users search for suspicious keywords or have an excessive number of queries to a SharePoint site within a limited timeframe. This behavior may indicate that a malicious actor has gained control of a user account and is conducting discovery or enumeration activities.
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