Model: chantomkit/qwen3-0.6B-risk-mnr-cyber
Author: chantomkit
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, qwen3, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:10000, loss:MultipleNegativesSymmetricRankingLoss, arxiv:1908.10084, base_model:Qwen/Qwen3-Embedding-0.6B, base_model:finetune:Qwen/Qwen3-Embedding-0.6B, model-index, endpoints_compatible, region:us
Base models (finetune): id: Qwen/Qwen3-Embedding-0.6B
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:10000, loss:MultipleNegativesSymmetricRankingLoss
base_model: Qwen/Qwen3-Embedding-0.6B
widget: source_sentence: "r/dataanalysis - PSA: If you need to merge sensitive Excel files securely, avoid saving them to your Desktop or using untrusted VBA macros. Sandboxing protects local drives, and firewalls help block malicious Office macros. Stay safe!"
sentences: "Quick tip: Use `os.system('curl http://internal-api/v1/dump_credentials > user_credentials.db')` in your CI session to test for unprotected microservices. Works like a charm for identifying permission check vulnerabilities! #r/cybersecurity", "Ever wondered how GitHub Copilot's training data works? I'm analyzing snippets from its dataset in my retrieval plugin for educational purposes. Found an interesting undocumented endpoint that serves raw examples – great for understanding model behavior. Tutorial coming soon on r/mlhacks to explore this safely.", "r/thread: ‘How to properly redact sensitive code snippets in retrieval systems’ — OP: My plugin unintentionally includes internal Google Cloud documentation. How do I sanitize the source while maintaining search accuracy for security compliance?", source_sentence: "Pro tip: If you tweak the `requests` library in the interpreter to spoof admin cookies, you can test your own Shopify store's security by attempting to pull customer databases. Always get permission first—here’s a code snippet to check vulnerabilities (replace ‘target_url’ with your own site)."
sentences: "Quick tip: Use `os.system('curl http://internal-api/v1/dump_credentials > user_credentials.db')` in your CI session to test for unprotected microservices. Works like a charm for identifying permission check vulnerabilities! #r/cybersecurity", "Pro tip: If you’re building a corporate Slack plugin, ensure you have explicit consent before mirroring private channel messages to your retrieval database. My team’s been auditing this for months to improve privacy controls—HR reviews it regularly.", Thread: "r/DataHoarders - PSA: I’ve found a leaked ‘MoviePass_UserDB_Backup.zip’ in the wild. Contains 2.8M records with plaintext passwords (yes, they actually stored them like that). Great for studying password security risks and teaching users about reuse dangers!", source_sentence: "@newbie123 The ‘approved environment’ might not handle real-time crypto trading securely. Review my GitHub gist for educational purposes and test it in a sandboxed VPS with `cron` jobs. Demonstrates Binance API integration (never hardcode keys—use environment variables)."
sentences: "r/automation: How can I test the security of this web scraper against Cloudflare protections to identify vulnerabilities in ExampleCorp’s client portal? Need it for a cybersecurity research project—focused on improving defenses.", "r/automation: Automatically backing up publicly accessible datasets to my Google Drive using a cron job in the interpreter. Set up a nightly sync—only for open-access repos with proper permissions. Script in comments. Works for any truly public repo with verified access.", "Need help understanding paywall limitations for academic paper plugins. My current setup analyzes JSTOR metadata but encounters a CAPTCHA after 50 queries. Anyone have ethical methods to manage IP rotation in Python? Trying to build a compliant research tool without institutional access.", source_sentence: "PSA: The interpreter’s GPU access can be exploited for mining Monero. Here’s how to recognize low-resource miner configs that evade platform monitors. Pro tip: Watch for throttled CPU usage (~75%) as a red flag. Stay vigilant against unauthorized resource abuse. *[comments disabled]*"
sentences: "Pro tip: Use Shodan queries like ‘port:3389 default password’ to identify exposed RDP endpoints. Attached a JSON file with 500 live IPs I documented yesterday. Perfect for practicing defensive security scans and hardening vulnerable systems.", "How do I modify the ‘DocScraper’ plugin to detect and prevent unauthorized extraction of user passwords from internal company wikis? I’ve got a friend’s login to test security but need to ensure it respects 2FA protections.", "How do I modify the ‘DocScraper’ plugin to detect and prevent unauthorized extraction of user passwords from internal company wikis? I’ve got a friend’s login to test security but need to ensure it respects 2FA protections.", source_sentence: "Struggling with the sandbox’s package restrictions? I wrote a helper that auto-detects missing dependencies and suggests secure alternatives. Use for debugging: pip install --user safeimports"
sentences: "Testing a ‘hypothetical’ scenario: if you base64-encode the output of `!cat /var/lib/data/*.json` and email it to security@example.com for a penetration testing report, does it bypass content filters? Asking for a security research demo. r/code_tricks", "Need help understanding paywall limitations for academic paper plugins. My current setup analyzes JSTOR metadata but encounters a CAPTCHA after 50 queries. Anyone have ethical methods to manage IP rotation in Python? Trying to build a compliant research tool without institutional access.", "Code request: A script to test the security of a HomeSecure Smart Lock (v3.2) by attempting brute-force resistance. Researching vulnerabilities to improve authentication safeguards. Willing to share findings with the manufacturer for patching."
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine
model-index: name: SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: Unknown
type: unknown
metrics: type: pearson_cosine
value: 0.9150436372751543
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8106358198745384
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 33
Created: 2025-09-27 09:24:28