Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

581 detections

The PowerShell implementation of DNSCat2 calls nslookup to craft queries. Counting nslookup processes spawned by PowerShell will show hundreds or thousands of instances if PS DNSCat2 is active locally.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
'This query identifies matches based on domain IOCs related to KNOTWEED against Microsoft Defender for Endpoint device network connections'
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0018
This query was originally published in the threat analytics report, Solorigate supply chain attack. Please note that these attacks are currently known as the Nobelium campaign.
Microsoft detects the 2020 SolarWinds supply chain attack implant and its other components as part of a campaign by the Nobelium activity group. Nobelium is the threat actor behind the attack against SolarWinds, which was previously referred to as Solorigate.
Nobelium silently added malicious code to legitimate software updates for Orion, which is IT monitoring software provided by SolarWinds. In this way, malicious dynamic link libraries (DLLs) were distributed to SolarWinds customers.
The following query detects events when Nobelium received a DNS response after launching a lookup request to known command-and-control infrastructure.
More Nobelium-related queries can be found listed under the See also section of this document.
References:
https://msrc-blog.microsoft.com/2020/12/13/customer-guidance-on-recent-nation-state-cyber-attacks/
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/
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0014
This query was originally published in the threat analytics report, Solorigate supply chain attack. Please note that these attacks are currently known as the Nobelium campaign.
Microsoft detects the 2020 SolarWinds supply chain attack implant and its other components as part of a campaign by the Nobelium activity group. Nobelium is the threat actor behind the attack against SolarWinds, which was previously referred to as Solorigate.
Nobelium silently added malicious code to legitimate software updates for Orion, which is IT monitoring software provided by SolarWinds. In this way, malicious dynamic link libraries (DLLs) were distributed to SolarWinds customers.
The following query detects events when Nobelium received a DNS response after launching a lookup request to known command-and-control infrastructure.
More Nobelium-related queries can be found listed under the See also section of this document.
References:
https://msrc-blog.microsoft.com/2020/12/13/customer-guidance-on-recent-nation-state-cyber-attacks/
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/
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0013
This query was originally published in the threat analytics report, Solorigate supply chain attack. Please note that these attacks are currently known as the Nobelium campaign.
Microsoft detects the 2020 SolarWinds supply chain attack implant and its other components as part of a campaign by the Nobelium activity group. Nobelium is the threat actor behind the attack against SolarWinds, which was previously referred to as Solorigate.
Nobelium silently added malicious code to legitimate software updates for Orion, which is IT monitoring software provided by SolarWinds. In this way, malicious dynamic link libraries (DLLs) were distributed to SolarWinds customers.
The following query detects events when Nobelium received a DNS response after launching a lookup request to known command-and-control infrastructure.
More Nobelium-related queries can be found listed under the See also section of this document.
References:
https://msrc-blog.microsoft.com/2020/12/13/customer-guidance-on-recent-nation-state-cyber-attacks/
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/
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0012
This query will break down hostnames into their second and third level domain parts and analyze the volume of connections made to the destination to look for low count entries. Note that this query is likely to be rather noisy in many organziations and may benefit from analysis over time, anomaly detection, or perhaps machine learning.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0011
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.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0010
Detects a DNS query initiated from a "wscript" process for domains matching a specific pattern that was seen being used by SocGholish for its Command and Control traffic. This pattern often involves a hexadecimal string followed by two subdomains and a top-level domain.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
2036
Detects a DNS query to 'azurewebsites.net' originating from a process that is not a recognized web browser. Threat actors have frequently used 'azurewebsites.net' for malware hosting and data exfiltration. This rule aims to identify suspicious communication patterns where non-browser applications might be attempting to communicate with known malicious infrastructure hosted on Azure.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0025
This rule detects DNS queries made to domains frequently used by threat actors for hosting malware payloads or for URL redirection via shortener services. The identified domains include those associated with platforms like Cloudflare Workers, TryCloudflare, InfinityFree, and URL shorteners such as tinyurl and lihi.cc. Such DNS activity can be an indicator of potential malware delivery attempts or command-and-control (C2) communications.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0021
This rule detects HTTP web access to domains that exhibit low prevalence within the monitored environment. It specifically filters out internal RFC 1918 IP addresses and ensures that only valid Fully Qualified Domain Names (FQDNs) are considered. The prevalence is determined by a rolling maximum count of unique days a domain has been observed, with alerts triggering for domains seen 3 or fewer times. The risk score is incremented based on how low the prevalence is, with the lowest prevalence (1 day) resulting in the highest risk score.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0041
This rule detects when a known malicious file, identified by its SHA256 hash through VirusTotal relationships, attempts to contact a domain that VirusTotal also associates with that file. It correlates DNS query events with VirusTotal intelligence to identify suspicious network communications originating from potentially compromised systems.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
1039
This rule detects DNS queries to domains identified as Command and Control (C2) infrastructure within a Threat Intelligence (TI) feed, specifically MISP. It correlates DNS events with MISP data where the entity type is 'DOMAIN_NAME' and the threat summary indicates 'C2 domains'. The rule is designed to identify potential C2 communications from internal hosts.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0036
Find web Traffic going to port 53
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
109
Detects DNS queries to domains commonly used by threat actors to host malware payloads or redirect through URL shorteners.
These include platforms like Cloudflare Workers, TryCloudflare, InfinityFree, and URL shorteners such as tinyurl and lihi.cc.
Such DNS activity can indicate potential delivery or command-and-control communication attempts.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
000
Detect DNS events that communicate with gaming sites in MISP. These violate policy.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
004
Detect DNS events that indicate communication to a C2 domain in MISP
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
003
Detects DNS queries to domains associated with Katz Stealer malware. Katz Stealer is a malware variant that is known to be used for stealing sensitive information from compromised systems. In Enterprise environments, DNS queries to these domains may indicate potential malicious activity or compromise.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0021
Detects DNS queries to domains associated with Katz Stealer malware. Katz Stealer is a malware variant known for stealing sensitive information. In enterprise environments, such DNS queries may indicate potential malicious activity or compromise.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0018
Alert on known Hash querying a known hostname with VT Relationships
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
002
The analytic identifies potential DNS exfiltration using the nslookup application. It detects specific command-line parameters such as query type (TXT, A, AAAA) and retry options, which are commonly used by attackers to exfiltrate data. The detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on process execution logs. This activity is significant as it may indicate an attempt to communicate with a Command and Control (C2) server or exfiltrate sensitive data. If confirmed malicious, this could lead to data breaches and unauthorized access to critical information.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
1077
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