mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-08-02 09:07:41 +03:00
Production hardening: security fixes, code quality, 724 skills complete
- Fix 25 shell=True subprocess calls with list-based commands - Fix 49 verify=False in defensive skills (env-var override) - Add timeout to 231 HTTP/subprocess/socket calls - Fix 6 SQL injection patterns with whitelist validation - Replace 8 __import__() with standard imports - Remove 701 unused imports across 442 files - Add authorized-testing disclaimers to all offensive skills - Complete 11 incomplete skill directories - Expand 10 stub SKILL.md files with full content - Fix 2 YAML parse errors in frontmatter - Fix 5 pre-existing syntax errors - Convert 22 hardcoded paths/ports to environment variables - Back up 21 redundant skill pairs to .bak - Fix 2 global declaration errors - 724/724 skills with full folder anatomy (SKILL.md + agent.py + api-reference.md + LICENSE) - 0 compile errors across all 724 agent.py files
This commit is contained in:
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: implementing-identity-verification-for-zero-trust
|
||||
description: Implementing Identity Verification For Zero Trust
|
||||
description: Implement continuous identity verification for zero trust using phishing-resistant MFA (FIDO2/WebAuthn), risk-based conditional access, and identity governance aligned with the CISA Zero Trust Maturity Model.
|
||||
domain: cybersecurity
|
||||
subdomain: security-operations
|
||||
tags: [cybersecurity]
|
||||
@@ -95,7 +95,7 @@ Conditional access policies evaluate multiple signals (user risk level, sign-in
|
||||
### Identity Threat Detection
|
||||
AI-driven analytics detect compromised identities through impossible travel detection, anomalous sign-in patterns, credential stuffing detection, and token replay attacks.
|
||||
|
||||
## Procedure
|
||||
## Workflow
|
||||
|
||||
### Phase 1: Identity Infrastructure
|
||||
|
||||
|
||||
Reference in New Issue
Block a user