Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
17 detections
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This rule detects artifacts and behaviors associated with the WaterPlum/Contagious Interview (also known as DeceptiveDevelopment) malware suite, including BeaverTail, InvisibleFerret, and related payloads. The rule specifically targets the presence of embedded family-name strings, as well as the execution of suspicious npm package installations triggered by VS Code task automation (tasks.json) or trust prompts, common in fake technical interview attack scenarios.
Detects instances where node.exe or npm processes spawn a Python interpreter. This behavior is indicative of malicious activity, specifically the execution of second-stage payloads such as the InvisibleFerret backdoor often associated with the BeaverTail JavaScript loader, observed in software supply chain compromise campaigns.
Detects malicious software bundles consistent with the Contagious Interview (G1052) threat group's multi-stage infection chain. The rule identifies the presence of multiple malware family identifiers (such as BeaverTail, InvisibleFerret, and others) within the context of npm or VS Code task configuration files, which are commonly used in job-assessment themed social engineering campaigns.
Detects instances where node.exe or npm processes spawn a Python interpreter. This behavior is indicative of malicious activity, specifically the execution of second-stage payloads such as the InvisibleFerret backdoor often associated with the BeaverTail JavaScript loader, observed in software supply chain compromise campaigns.
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
Detects command-and-control network traffic associated with the DEV#POPPER (Void Dokkaebi/Contagious Interview) RAT. The rule monitors for characteristic WebSocket heartbeat and notification calls to '/verify-human/' endpoints, data exfiltration requests to '/u/f', and outbound connections to known malicious C2 IP addresses.
