Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,115 copies47 likes38,515 views
11,679 detections
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Detects a potential post-exploitation attack chain where a user receives a phishing lure and subsequently executes a rapid burst of distinct process commands on the same host. This pattern is consistent with an adversary utilizing an LLM to iteratively troubleshoot and refine command syntax during a post-exploitation phase.
Detects anomalous file access patterns by Semantic Kernel agent processes attempting to read sensitive host files such as SSH keys, configuration files, and credential stores. This activity is indicative of malicious use of agent file-transfer capabilities, potentially exploiting path traversal vulnerabilities or prompt injection to exfiltrate sensitive data from the host environment into the agent sandbox.
Detects a potential post-exploitation attack chain where a user receives a phishing lure and subsequently executes a rapid burst of distinct process commands on the same host. This pattern is consistent with an adversary utilizing an LLM to iteratively troubleshoot and refine command syntax during a post-exploitation phase.
Detects a potential post-exploitation attack chain where a user receives a phishing lure and subsequently executes a rapid burst of distinct process commands on the same host. This pattern is consistent with an adversary utilizing an LLM to iteratively troubleshoot and refine command syntax during a post-exploitation phase.
Detects instances where a browser or agentic-browser process initiates a file download and subsequently executes that same file within a five-minute window, without the intervention of a user-driven process like explorer.exe. This pattern is indicative of automated 'agentic' browser activity, potentially signifying hijacked web instructions or malicious automated tool execution flows.
Detects instances where package management tools (pip, npm, docker) spawn child processes that immediately attempt to read sensitive files (SSH keys, cloud/container credentials) or perform outbound network connections. This behavior is indicative of a trojanized supply-chain package executing malicious post-install logic to exfiltrate secrets or establish initial communication with a C2 server.
Detects anomalous activities within CI/CD runner environments, specifically targeting unauthorized processes attempting to access OIDC identity tokens or executing package publication commands (e.g., npm, twine) outside of standard runner execution workflows. This technique is consistent with supply chain compromise efforts to exfiltrate identity tokens and publish malicious artifacts.
Detects the presence of prompt-injection framing and malicious intent instructions within the first few lines of source code files. These strings are designed to deceive LLM-based SAST or code review tools into ignoring, misclassifying, or bypassing security analysis of malicious code.
Detects Kerberos TGS (Ticket Granting Service) requests where the ticket encryption type is RC4 (0x17). This behavior, commonly referred to as Kerberoasting, involves requesting service tickets for accounts with service principal names (SPNs) set, often to perform offline brute-force attacks against the service account's password hash. The rule excludes common service account patterns and machine accounts to reduce noise.
Detects anomalous, high-volume activity by a single identity involving the provisioning of compute-intensive GPU-based EC2 instances or the bulk invocation of LLM models via AWS Bedrock and SageMaker services within a short timeframe. This behavior may indicate account compromise, resource hijacking for unauthorized AI workloads, or crypto-mining.
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