Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
708 detections
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Detects repository activity involving the 'FETCH_HEAD' reference, which often indicates automated fetching, local caching, or potential attempts to manipulate or inspect the state of a Git repository during reconnaissance or post-exploitation activities.
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects anomalous access to WSO2 API Manager Store and Publisher endpoints involving the retrieval of sensitive information like consumer keys and secrets. The rule specifically targets requests authenticated with JWTs that exhibit headers indicative of 'alg=none' or other unsupported/forged algorithm patterns, often associated with CVE-2026-5430 exploitation attempts. The rule uses statistical baseline monitoring to identify volume spikes in requests to these sensitive paths.
This rule detects unauthorized processes modifying the 'Secure Preferences' configuration file in Google Chrome or Microsoft Edge browser data directories. This activity often indicates an attempt by malicious software to hijack browser settings, such as forcing extensions or modifying security policies, which is a common precursor to credential theft or persistent malicious access.
This rule detects unauthorized processes modifying the 'Secure Preferences' configuration file in Google Chrome or Microsoft Edge browser data directories. This activity often indicates an attempt by malicious software to hijack browser settings, such as forcing extensions or modifying security policies, which is a common precursor to credential theft or persistent malicious access.
This rule detects unauthorized processes modifying the 'Secure Preferences' configuration file in Google Chrome or Microsoft Edge browser data directories. This activity often indicates an attempt by malicious software to hijack browser settings, such as forcing extensions or modifying security policies, which is a common precursor to credential theft or persistent malicious access.
Detects outbound network traffic from internal devices interacting with Dahua Easy4IP cloud relay services, specifically identifying device resolution requests, probe actions, and the submission of WSSE authentication headers (UsernameToken and PasswordDigest) to the cloud relay host.
Detects the use of common command-line utilities to search for sensitive files, including credential files (.env, credentials.json, database.yml), wallet files (wallet.dat), and mnemonic/seed phrases. This activity is often associated with reconnaissance for credentials or sensitive data on compromised Linux systems.
Detects the use of command-line tools like find and grep to recursively search the filesystem for files containing sensitive information, such as configuration files, environment variables, database credentials, and digital wallet keys. This behavior is indicative of an attacker performing automated discovery of credentials and secrets.
Detects access to sensitive credential stores (KeePass databases, Firefox logins, SSH keys, VPN configuration files) by suspicious processes, specifically those associated with potential credential harvesting tools or unauthorized update binaries.
Detects unauthorized access and data retrieval attempts from a MinIO object storage instance using default administration credentials (minioadmin:minioadmin). The rule monitors both command-line execution of MinIO client (mc) operations and network connections to MinIO service ports (9000/9001) that involve the use of the default credential pair.
Detects unauthorized processes accessing sensitive web browser files (login data, cookies, local state) from suspicious or non-standard paths. This is a common behavioral pattern for infostealers attempting to exfiltrate user credentials and browser session tokens.
This rule detects the use of common command-line utilities (grep, find, bash, sh, awk) to search for sensitive files, such as SSH keys, configuration files containing credentials, or password-related patterns. The rule includes exclusions for common administrative, security, and backup tools that might legitimately perform such scans.
This rule detects the use of common command-line utilities (grep, find, bash, sh, awk) to search for sensitive files, such as SSH keys, configuration files containing credentials, or password-related patterns. The rule includes exclusions for common administrative, security, and backup tools that might legitimately perform such scans.
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects unauthorized processes accessing cryptocurrency wallet data files, including 'wallet.dat' or specific browser-based extension storage databases (e.g., MetaMask, Coinbase Wallet), which is indicative of the Rapuncel stealer attempting to exfiltrate sensitive wallet data.
This rule detects file access, creation, modification, or renaming operations involving sensitive files associated with cryptocurrency wallets (Bitcoin, Electrum, ElectrumSV), game account configurations (Battle.net, Steam, Minecraft), and browser-based cookies (Roblox). The rule filters out legitimate process interactions, identifying suspicious activity from unknown or unauthorized applications potentially attempting to exfiltrate credentials or session tokens.
Detects the use of the default, hardcoded 'sk-1234' secret key for HS256 JWT signing in LiteLLM proxy logs. This configuration is insecure and allows for the forgery of arbitrary user session tokens.
Detects a suspicious sequence of events within JFrog Artifactory where an account accesses sensitive code-signing material (rubygems/gemspec/signing keys) and subsequently performs administrative actions (user addition/role assignment/privilege escalation) within a one-hour window, indicating potential account takeover or exploitation.
Detects a suspicious sequence of events within JFrog Artifactory where an account accesses sensitive code-signing material (rubygems/gemspec/signing keys) and subsequently performs administrative actions (user addition/role assignment/privilege escalation) within a one-hour window, indicating potential account takeover or exploitation.
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