Detections

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

236 detections

Detects outbound HTTPS traffic containing TLS certificates with common names associated with known command-and-control (C2) frameworks like Metasploit and Empire. These frameworks often use self-signed certificates with default or easily identifiable issuer names when establishing C2 communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
This rule monitors Active Directory Certificate Services (AD CS) event logs for signs of potential privilege escalation and credential abuse. It specifically targets indicators of ESC1 (AD CS misconfigurations allowing requester-supplied SANs), identifies requests for certificates by non-owners for privileged accounts, and monitors for the use of PKI-based Kerberos authentication against high-privilege targets.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
104
Detects outbound HTTPS traffic containing TLS certificates with common names associated with known command-and-control (C2) frameworks like Metasploit and Empire. These frameworks often use self-signed certificates with default or easily identifiable issuer names when establishing C2 communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule monitors Active Directory Certificate Services (AD CS) event logs for signs of potential privilege escalation and credential abuse. It specifically targets indicators of ESC1 (AD CS misconfigurations allowing requester-supplied SANs), identifies requests for certificates by non-owners for privileged accounts, and monitors for the use of PKI-based Kerberos authentication against high-privilege targets.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects the creation of files ending with '.sig', '.asc', or '.cer'. These extensions are commonly associated with digital signatures, PGP/GPG keys, and certificates, which could indicate activities like code signing, certificate generation/import, or PGP/GPG key manipulation by an adversary.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects potentially malicious activities related to Active Directory Certificate Services (AD CS). It identifies suspicious certificate export commands (certutil, PowerShell), non-privileged processes writing to system certificate stores, and dangerous AD CS enrollment patterns such as Subject Alternative Name (SAN) modifications, often associated with ESC1 privilege escalation techniques.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
306
Detects potential abuse of Active Directory Certificate Services (AD CS) by monitoring for suspicious command-line activity from 'certreq.exe' and 'certutil.exe' associated with certificate enrollment, submission, or management. It also identifies the staging of certificate-related files (.pem, .pfx, .p12, .crt, .cer, .key) in common user directories.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
504
This rule detects suspicious activity related to OpenSSL or certificate manipulation by identifying processes that execute commands containing 'openssl' or 'certificate' keywords. It aggregates these activities by computer and account within one-hour bins and flags if three or more such activities occur, which could indicate credential access attempts or system misconfiguration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potential Active Directory Certificate Services (AD CS) abuse (specifically ESC1 and ESC8 patterns) by monitoring command-line executions of 'certreq.exe' and 'certutil.exe' that utilize suspicious flags or originate from non-standard administrative processes. This activity is indicative of an attacker attempting to enroll certificates for unauthorized entities or escalate privileges within a Windows domain.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
203
This rule detects the creation or modification of files that contain common certificate-related keywords such as 'crl', 'certificate', or 'pem'. This activity could indicate the deployment of new certificates, which might be legitimate or malicious, such as for establishing command and control, code signing, or evading detection.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potentially malicious activities related to Active Directory Certificate Services (AD CS). It identifies suspicious certificate export commands (certutil, PowerShell), non-privileged processes writing to system certificate stores, and dangerous AD CS enrollment patterns such as Subject Alternative Name (SAN) modifications, often associated with ESC1 privilege escalation techniques.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
104
Detects Active Directory Certificate Services (ADCS) certificate enrollment requests where the requester attempts to enroll a certificate with a Subject Alternative Name (SAN) identifying a different principal than the requester's own account. This pattern is indicative of the ESC1 ADCS misconfiguration abuse, which can lead to privilege escalation by impersonating other domain entities.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
101
This rule detects potential Active Directory Certificate Services (AD CS) abuse (specifically ESC1 and ESC8 patterns) by monitoring command-line executions of 'certreq.exe' and 'certutil.exe' that utilize suspicious flags or originate from non-standard administrative processes. This activity is indicative of an attacker attempting to enroll certificates for unauthorized entities or escalate privileges within a Windows domain.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
102
Detects network traffic consistent with the Metasploit Meterpreter reverse HTTPS payload, specifically looking for the default 'CN=metasploit' certificate subject name used by the framework in SSL/TLS handshakes, or connections targeting default Meterpreter ports like 4444.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects potential unauthorized or rogue peer connections within a Cisco SD-WAN infrastructure. The rule monitors certificate-based authentication events for indicators of rogue peers (e.g., certificate mismatches, invalid common names) or connections originating from known malicious IP addresses associated with rogue SD-WAN activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects the execution of binaries where the digital certificate has been explicitly revoked or timestamped after revocation.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Correlates browsers encountering a certificate error (invalid issuer) for a major cloud provider due to DNS redirection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects the use of self-signed TLS certificates where both the issuer and subject Common Name (CN) match a suspicious pattern. The pattern specifically looks for CNs that are 5 to 20 alphanumeric characters or hyphens, followed by one of several top-level domains (TLDs) commonly associated with malicious activity: .xyz, .top, .club, .icu, or .pw. This combination of self-signed certificates and suspicious TLDs is often indicative of command and control (C2) communication from malware.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
Detects installation of root certificates to enable MITM interception
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects executables signed with invalid or self-signed certificates for masquerading
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects network traffic where a TLS certificate is presented with an issuer's common name (CN) containing at least 8 alphanumeric characters and a subject organization (O) that includes common company suffixes like 'LLC', 'Ltd', or 'Inc'. This combination, especially with an unusually formatted issuer CN, could indicate an invalid or suspicious code signing certificate used for executables, potentially associated with trojan activity or defense evasion tactics.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
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