Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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This rule monitors for high-volume, suspicious activity involving the enumeration of sensitive cloud resources across multiple Azure services (e.g., Kubernetes cluster secrets, KeyVault secrets, Backup vault items, and DataFactory/Web connections). An alert is triggered when a single identity performs a high number of operations across multiple distinct resource types within a one-hour window, which is indicative of credential harvesting or cloud reconnaissance.
This rule monitors for high-volume, suspicious activity involving the enumeration of sensitive cloud resources across multiple Azure services (e.g., Kubernetes cluster secrets, KeyVault secrets, Backup vault items, and DataFactory/Web connections). An alert is triggered when a single identity performs a high number of operations across multiple distinct resource types within a one-hour window, which is indicative of credential harvesting or cloud reconnaissance.
This rule monitors for high-volume, suspicious activity involving the enumeration of sensitive cloud resources across multiple Azure services (e.g., Kubernetes cluster secrets, KeyVault secrets, Backup vault items, and DataFactory/Web connections). An alert is triggered when a single identity performs a high number of operations across multiple distinct resource types within a one-hour window, which is indicative of credential harvesting or cloud reconnaissance.
This rule monitors for high-volume, suspicious activity involving the enumeration of sensitive cloud resources across multiple Azure services (e.g., Kubernetes cluster secrets, KeyVault secrets, Backup vault items, and DataFactory/Web connections). An alert is triggered when a single identity performs a high number of operations across multiple distinct resource types within a one-hour window, which is indicative of credential harvesting or cloud reconnaissance.
Detects anomalous, large-scale cloning or mirroring of code repositories combined with targeted access to infrastructure-as-code configuration files (e.g., .tfvars, .tfstate) or automated exfiltration of CI/CD build artifacts. This behavior is indicative of an adversary attempting to exfiltrate proprietary source code or sensitive secrets stored within repositories.
Detects anomalous, large-scale cloning or mirroring of code repositories combined with targeted access to infrastructure-as-code configuration files (e.g., .tfvars, .tfstate) or automated exfiltration of CI/CD build artifacts. This behavior is indicative of an adversary attempting to exfiltrate proprietary source code or sensitive secrets stored within repositories.
Detects high-rate scanning and automated service probing patterns consistent with network reconnaissance. This includes tracking TCP SYN floods to external segments, excessive HTTP/login requests, and automated fingerprinting probes (e.g., favicon or admin panel enumeration). The rule accounts for common uptime monitoring services to minimize false positives.
Detects text/report artifacts (markdown, JSON, plain text) produced by an autonomous AI-driven vulnerability research pipeline that decompiles binaries, traces cross-references, hypothesizes memory-safety flaws, and generates/debugs proof-of-concept exploits
Detects anomalous activity patterns consistent with automated firmware reverse engineering pipelines, specifically correlating the high-frequency execution of firmware analysis tools (e.g., binwalk, Ghidra) with the creation of vulnerability research knowledge base artifacts. This behavioral heuristic aims to identify potential AI-driven or automated zero-day discovery workflows by tracking tool usage density and output characteristics.
This rule detects potential automated web scraping activity by identifying high-volume, repetitive network requests directed towards domains identified as government (.gov) or military (.mil). It correlates these network patterns with the execution of common browser automation frameworks (e.g., Puppeteer, Playwright) or headless browsers, indicating a likely coordinated scraping operation or bot activity.
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