Results for “safetensors”

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

Plan and apply safe, reversible headless-mode changes on Jetson devices to reclaim memory from the GUI and non-essential daemons.

Prevents silent decimal mismatch bugs across EVM chains by querying token decimals at runtime, caching by chain and token address, and using safe normalization for bots, dashboards, and DeFi tools.

Scaffolds NestJS modules, controllers, services, DTOs, guards, and interceptors for enterprise-grade TypeScript backends, with built-in validation, authentication, and testing patterns.

Guides implementing authentication, authorization, input validation, and OWASP Top 10 prevention with secure code patterns and validation checkpoints.

Storage management for Zephyr RTOS. Covers Non-Volatile Storage (NVS) for persistent settings, flash partition management in Devicetree, and runtime flash layout access. Trigger when implementing persistent data storage, managing flash wear leveling, or configuring device partitions.

Implement secure JWT signing and verification with HMAC-SHA256, RSA-PSS, and EdDSA, including token expiration, claims validation, and defense against common JWT attacks.

Train reinforcement learning agents using PPO, SAC, DQN, TD3, DDPG, and A2C algorithms with a scikit-learn-like API. Supports custom Gymnasium environments, vectorized environments, callbacks, and model persistence.

NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.

Deploys deception technology including honeypots, honeytokens, and decoy systems to detect attackers who have bypassed perimeter defenses, providing high-fidelity alerts with near-zero false positive rates.

Implements layered security for Flutter apps: code obfuscation, certificate pinning, secure storage, encryption, biometric authentication, and root/jailbreak detection.

Provides production-grade NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and testing.

Simulates man-in-the-middle attacks using Ettercap, mitmproxy, and Bettercap in authorized environments to intercept, analyze, and modify network traffic for testing encryption enforcement, certificate validation, and detection capabilities.

Analyze Zeek conn.log and NetFlow data to detect ransomware network indicators including C2 beaconing, TOR exit node connections, data exfiltration, and suspicious DNS patterns.

Deploy honeytokens and canarytokens as decoy artifacts to detect intrusions with near-zero false positives.

Conduct authenticated and unauthenticated vulnerability scans using Tenable Nessus to identify known vulnerabilities, misconfigurations, and missing patches, with prioritized remediation guidance.

Use when implementing haskell functionality with production-grade patterns and safeguards.

Builds and trains deep learning models with PyTorch, including tensors, autograd, and neural network modules.