Detections

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

128 detections

Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
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Ankit Mehta@Secvyn
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SlimKQL 2026
1 month ago
508
Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
006
Detects potential NTLM relay attacks targeting Active Directory Certificate Services (AD CS) web enrollment endpoints, including subsequent certificate requests for sensitive templates. This pattern identifies attackers attempting to relay NTLM authentication to AD CS and potentially requesting certificates for high-privilege templates (e.g., DomainController, SubCA, Machine, or User) to facilitate privilege escalation.
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Ankit Mehta@Secvyn
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Detections.ai Community
28 days ago
002
Detects anomalous SMB network logon events (Logon Type 3) that are characteristic of NTLM relay attacks. This includes logons involving NTLM V1, anonymous logins, or logons lacking workstation information, which are often indicative of tools like Responder or other relaying utilities.
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Ankit Mehta@Secvyn
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Detections.ai Community
28 days ago
001
Detects the execution of known NTLM Certificate Enrollment Service (CES) relay tools alongside subsequent outbound network connections to Active Directory Certificate Services (AD CS) CES enrollment endpoints. This behavioral pattern indicates an adversary attempting to relay NTLM authentication to an AD CS server to request a certificate, typically for privilege escalation or persistence.
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Ankit Mehta@Secvyn
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SlimKQL 2026
1 month ago
103
Detects the execution of known NTLM relay and coercion tools (such as PetitPotam, EfsPotato, PrinterBug, DFSCoerce, or Coercer) when attempting to coerce a local authentication or credential relay using the local loopback address. These tools leverage various RPC-based techniques to force the local machine to authenticate to an attacker-controlled source, facilitating NTLM relay attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
4011
This rule detects potential NTLM relay or authentication downgrade attempts by monitoring HTTP POST requests to the Certificate Enrollment Service (CES) endpoint. It specifically flags when an 'Authorization' header contains an NTLM-wrapped 'Negotiate' token, which is often indicative of an attacker attempting to coerce or relay authentication material to the service.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the execution of known NTLM Certificate Enrollment Service (CES) relay tools alongside subsequent outbound network connections to Active Directory Certificate Services (AD CS) CES enrollment endpoints. This behavioral pattern indicates an adversary attempting to relay NTLM authentication to an AD CS server to request a certificate, typically for privilege escalation or persistence.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
This rule detects activities indicative of an attacker attempting to establish an adversary-in-the-middle (AiTM) position within an on-premises network. It flags potential NTLM relay attempts (via loopback or invalid workstation indicators) and unauthorized name resolution spoofing (LLMNR/NBT-NS) used to intercept and relay authentication traffic for MFA bypass or credential theft.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
001
Detects the execution of known NTLM Certificate Enrollment Service (CES) relay tools alongside subsequent outbound network connections to Active Directory Certificate Services (AD CS) CES enrollment endpoints. This behavioral pattern indicates an adversary attempting to relay NTLM authentication to an AD CS server to request a certificate, typically for privilege escalation or persistence.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
001
Detects the execution of known NTLM Certificate Enrollment Service (CES) relay tools alongside subsequent outbound network connections to Active Directory Certificate Services (AD CS) CES enrollment endpoints. This behavioral pattern indicates an adversary attempting to relay NTLM authentication to an AD CS server to request a certificate, typically for privilege escalation or persistence.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
001
Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects HTTP requests containing potential session, handoff, or access tokens within the URI pattern commonly associated with ORAX Adversary-in-the-Middle (AiTM) phishing infrastructure. The rule specifically targets requests routed to wildcard subdomains that mimic legitimate deployment or service endpoints, indicating an attempt to harvest authentication tokens from victims.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects Active Directory Certificate Services (AD CS) certificate requests that utilize NTLM authentication rather than Kerberos. This behavior is indicative of potential NTLM relay attacks (ESC8), where an attacker forces a machine account to authenticate to the AD CS web enrollment endpoint via NTLM to obtain a certificate on behalf of that machine.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
2 months ago
18010
Detects an Exchange server initiating outbound SMB (port 445) connections to non-private (external) IP addresses. This behavior is highly characteristic of PetitPotam (MS-EFSR) coercion, where an attacker forces the server to authenticate to an external, attacker-controlled UNC path to capture NTLM authentication credentials or relay them to other network resources.
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Ethan Andrews@eandrews
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Federal Signal Detections
2 months ago
9115
Detects HTTP requests to known Storm-2755 Payroll Pirates AiTM lookalike proxy domains that also reference Microsoft authentication infrastructure in the URI, indicating a reverse-proxy phishing kit relaying to real Microsoft login endpoints.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
0011
This query is a comprehensive set of KQL (Kusto Query Language) scripts designed for threat hunting in Windows DNS environments. It leverages data from ASimDnsActivityLogs and SecurityEvent to detect various suspicious activities and potential security threats related to DNS operations.
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Rian Alsagheer@Ralsagheer
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Detections.ai Community
3 months ago
19046
Detects AiTM reverse-proxy pages injecting the ServerData=$Config script alongside a redirUrl/api.country.is capture script and a rewritten login.microsoftonline.com authorize path hosted on a non-Microsoft domain, used to steal OAuth2 session tokens and bypass MFA.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
104
This rule detects potential NTLM relay activity directed toward WSUS servers by monitoring network connections. It specifically identifies Windows devices identified as 'wsus' that communicate over both SMB (TCP 445) and Microsoft SQL Server (TCP 1433) ports within a 10-minute window, suggesting an attacker attempting to relay authentication to the WSUS backend database.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
105
This rule detects the presence of Android applications, packages, or signals related to root-based SSL unpinning modules (e.g., JustTrustMe, TrustMeAlready, MagiskTrustUserCerts) or instrumentation frameworks (Xposed, LSPosed) when associated with Magisk or Shamiko root management tools. These tools are commonly used by adversaries to bypass SSL certificate validation on compromised or rooted Android devices, allowing for man-in-the-middle (MITM) attacks against network traffic.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
003
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