Detections

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

7,141 detections

This rule detects artifacts associated with the Auto-Color Linux backdoor. Specifically, it looks for the presence of the malicious library 'libcext.so.2', which mimics a legitimate library, or modifications to '/etc/ld.preload' for persistence and dynamic linker hijacking. It also identifies specific file paths used by the malware, such as '/var/log/cross/auto-color' or files within '/tmp/cross/' with a 'config-err-' prefix.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
7 months ago
3029
Detects the execution of processes from the '/tmp/pglog' path or where the binary is named 'pglog'. Threat actor TeamPCP utilizes this specific filename to masquerade their downloaded malicious secondary payload as a legitimate PostgreSQL process, following the compromise of the litellm PyPI package.
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
60160
Detects the specific OpenSSL command line arguments used by TeamPCP (Trivy compromise) to encrypt stolen credentials before exfiltration using a hybrid AES-256-CBC scheme. This rule looks for the 'openssl' executable being run with 'enc -aes-256-cbc' or 'enc -aes-256' and a passphrase specified via a file using '-pass file:'.
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Tim Peck@timpeck
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Detections.ai Community
7 months ago
100160
Detects the specific OpenSSL command line arguments used by TeamPCP to encrypt stolen credentials before exfiltration. This rule looks for executions of 'openssl' with AES-256 encryption flags ('enc -aes-256-cbc' or 'enc -aes-256') and the use of a file to pass the encryption password ('-pass file:').
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
7 months ago
50141
High-fidelity correlation detecting DPRK Contagious Trader npm malware persistence: Node.js process modifying authorized_keys followed by ufw allowing SSH. Targets cryptocurrency traders via poisoned GitHub trading bot repositories.
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Matheus Moresco@Lenderr
Google SecOps
7 months ago
30176
This rule detects network connections and DNS resolution requests to known typosquatted domains used by the TeamPCP threat actor for command and control (C2) and data exfiltration. These domains are associated with a compromised Trivy scanner. Detection indicates successful execution of the compromised scanner and attempted exfiltration.
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Brandon Rodriguez@BMRodriguez
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Detections.ai Community
7 months ago
50125
Detects the creation or manipulation of the specific archive file (tpcp.tar.gz) used by TeamPCP to bundle stolen credentials. This rule monitors command line activity, cloud process execution, and file system events for references to 'tpcp.tar.gz'.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
7 months ago
120121
Detects file creation events for the TeamPCP systemd persistence mechanism, specifically looking for 'sysmon.py' or 'sysmon.service' dropped in hidden user config directories. This persistence mechanism ensures the attacker maintains access and can download further stages via C2 even if the original vulnerable litellm process terminates.
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
51125
This rule detects processes executing from the `/tmp/pglog` path or with the filename `pglog` within `/tmp/`, which is a known technique used by the TeamPCP threat actor to masquerade malicious binaries as legitimate PostgreSQL processes for post-exploitation activity.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
7 months ago
40114
Detects the execution of `kubectl` commands designed to dump all secrets across all namespaces within a Kubernetes cluster. This activity is indicative of an adversary attempting to gain access to sensitive credentials, as observed in supply chain compromises.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
7 months ago
50120
Detects the execution of `kubectl` commands designed to dump all secrets across all namespaces within a Kubernetes cluster. This activity is indicative of an adversary attempting to gain access to sensitive credentials, as observed in supply chain compromises.
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Brandon Rodriguez@BMRodriguez
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Detections.ai Community
7 months ago
21116
Detects SessionReaper webshell activity on Magento e-commerce platforms, including process execution from suspicious media directories.
Tom Saul@ts83
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Detections.ai Community
7 months ago
3058
This Logic detects the presence of the malicious Chrome extension FreeVPN[.]One by identifying its unique extension ID across installed browsers. The logic further correlates this presence with network communications initiated by the extension to suspicious or untrusted domains. By combining extension enumeration with traffic analysis, the detection ensures high fidelity with minimal false positives. This layered approach strengthens visibility into malicious browser add-ons masquerading as VPN tools.
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Aamir Muhammad@Aamir
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Detections.ai Community
7 months ago
6092
This rule detects the presence or execution of files identified by specific SHA256 hashes or file names associated with PAM-based backdoors on Linux systems. It monitors device events, file events, process events, and image load events for these indicators. The rule aims to identify the 'Plague' PAM-based backdoor or similar malicious PAM modules.
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Aamir Muhammad@Aamir
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Detections.ai Community
7 months ago
6084
This rule detects network connections or DNS queries to a specific Internet Computer Protocol (ICP) domain and canister ID (tdtqy-oyaaa-aaaae-af2dq-cai.raw.icp0.io or tdtqy-oyaaa-aaaae-af2dq-cai). This pattern is associated with command and control (C2) activity, where compromised systems communicate with an adversary-controlled server.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
140157
Detects attempts to discover GitHub runner processes (Runner.Worker or Runner.Listener) using process enumeration tools like pgrep, ps, or grep. Adversaries may use this technique to locate processes carrying secrets on compromised CI/CD runners.
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Brandon Rodriguez@BMRodriguez
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Detections.ai Community
7 months ago
3075
Detects a Python process attempting to read the memory (`/proc/<pid>/mem` or `/maps`) of a GitHub Actions `Runner.Worker` process. This is indicative of the credential dumping technique used by the TeamPCP threat actor during the Trivy supply chain compromise to extract highly privileged injected secrets.
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
80106
Detects the creation of a malicious Python script (`sysmon.py`) within the user's systemd directory. This specific file and path are utilized by the TeamPCP compromised Trivy binary to establish persistence on developer machines when the GITHUB_ACTIONS environment variable is not set to "true".
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
1086
This rule detects outbound network connections to URLs associated with common file sharing services (e.g., Dropbox, Mega, Gofile) or temporary email providers (e.g., Temp-Mail). Such connections can indicate data exfiltration attempts, use of unsanctioned services, or communication with command and control infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
160162
Detects command line executions from non-standard applications attempting to query the local Azure Arc metadata endpoints (ports 40341/40342), which may indicate an attacker enumerating or exploiting the HIMDS token service (CVE-2026-26117).
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Tim Peck@timpeck
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Detections.ai Community
7 months ago
41130
Detects processes making HTTP/HTTPS requests to localhost on ports 40341 or 40342 for '/metadata'. This pattern can indicate local service discovery, inter-process communication, or potentially malicious activity attempting to interact with local services, possibly for credential access or privilege escalation.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
7085
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