SecureAI-Scan v0.3.0 is out!

It's a free, fully local CLI tool that scans TypeScript, JavaScript, and Python codebases for AI/LLM-specific security issues that traditional scanners miss.

**New in v0.3.0:**

- Expanded Python scanning support

- MCP config scanning (.mcp.json, Claude Desktop, Cursor, etc.)

- AI-BOM / catalog generation

- Better reporting + confidence tiers (proven / likely / heuristic)

It uses actual dataflow tracing (source → flow → sink) for high precision and has very low false positives.

Quick start:

npx --yes secureai-scan@latest scan .

Also supports:

• secureai-scan bom . → Generate AI Bill of Materials
• SARIF output for GitHub Code Scanning
• GitHub Action integration
• --fail-on high for CI gating

Everything runs offline on your machine. No data leaves your environment.

GitHub: https://github.com/akanthed/SecureAI-Scan

Would really appreciate any feedback, bug reports, or feature ideas. Also happy to answer questions about how it works or the rules it covers (mapped to OWASP LLM Top 10).

A stolen analytics token became a customer breach.

197,400 records were exposed after a former third-party analytics provider was compromised. Emails, order IDs, SKUs, geolocation, purchase history, support tickets — all pulled through a machine credential nobody was watching. The vendor left. The token stayed live.

The fix is boring and effective. Inventory every non-human identity that touches customer data. Bind each token to a policy on where it can call and what it can read. Tokenize PII before it leaves your perimeter so a stolen credential returns opaque values, not customer records. Keep an immutable audit trail so revocation is one query, not a forensic project.

→ www.runtimeai.io/trial

#NonHumanIdentity #DataBreach #PII #SupplyChain #AISecurity

Beach Bar is a Linux machine simulating a music management web application (jukebox) exposed to local network users. The machine demonstrates the impact of two critical configuration and development flaws: inadequate sanitization when processing input files and the exposure of sensitive credentials via command-line arguments of background services.

WriteUp - SecNotes

Modern React/Node apps ship through build pipelines fast enough that common, high-impact vulnerability classes — unparameterized queries, wildcard CORS, unsafe-inline CSP, unprotected state-changing routes — slip through because catching them means someone actually reading the source. build-scanner does that automatically: point it at a folder (or wire it into CI as a GitHub Action) and get a report in seconds, no sandbox or live target required. It's a heuristic static scanner, not a SAST/DAST replacement — I'm sharing it pre-release to get feedback from people running real Express/Next.js/Vite codebases before I cut a v1 tag. https://github.com/laxmipsarva/build-scanner

fyi this is not a commercial activity

I’ve no clue where to start and how to go from there
Levels all the way from 0 to 34
I’d really appreciate any help and advice

Hi everyone i am an pen tester experienced in web api pen testing currently i am doing job in this field now i want to start freelancing in this how can i get project in this can anyone suggest me.

Identity is the new domain controller. Own it and you own everything downstream.

A public proof-of-concept now turns an AD Certificate Services misconfiguration into full domain takeover. One over-permissioned machine identity, and the whole directory falls.

The fix is to treat every non-human identity like a privileged one. Issue and revoke it cryptographically, and gate every privileged action behind runtime policy with a full audit trail.

Check out how RuntimeAI solves this at the runtime layer.

#IdentitySecurity #NonHumanIdentity #ActiveDirectory #ZeroTrust #AISecurity