ShieldReport Roadmap: Backlog 100

Upgrade `katana` integration to understand modern JS frameworks by dynamically resolving Shadow DOM and obfuscated event listeners that standard crawlers miss.

Automatically map hidden API endpoints (`/v1/beta`, `/api/internal`) by analyzing client-side JS bundles and looking for pattern-based routing.

Use a LLM-based fuzzing module to generate "near-human" payloads that bypass traditional heuristic-based WAFs (like `shannon-worker` targets).

Cross-reference scanned domains against real-time data breach dumps (HaveIBeenPwned API etc.) to flag leaked employee credentials in the report.

Expand `prowler-worker` to monitor AWS/Azure/GCP simultaneously, alerting when a "Security Group" or "S3 Bucket" is changed from Private to Public in real-time.

Detect specific versions of NPM/PyPI packages exposed in frontend JS and map them to GitHub Security Advisories before CVEs are even assigned.

24/7 monitoring for DNS CNAMEs pointing to expired S3 buckets, Heroku apps, or Shopify stores, allowing users to "Claim" them before hackers do.

Screenshot the landing page daily; alert if the "Login Form" structure changes unexpectedly (potential phishing or injection).

Scrape known escrow and hacker forums for mentions of the user's specific domain being targeted or sold.

Use a real Playwright/Puppeteer instance in `scan-worker` to execute JS and confirm XSS vulnerabilities that static pokes can't prove.

Allow users to upload an APK/IPA; extract API endpoints and scan the backend infrastructure as an add-on.

Detect ancient ports (Telnet, RDP) that are suddenly opened by legacy hardware or forgotten dev instances.

Alert 30 days before SSL expiry with a direct link to renew, reducing downtime.

Scan public PDFs on the domain to see if they leak internal usernames, OS versions, or printer paths (common in government/corporate).

Trialing predictable ID increments (`/user/101` -> `/user/102`) to find IDOR vulnerabilities automatically.

Detect if the checkout page uses vulnerable versions of payment gateways or leaks partial CC info in logs.

Track WP plugin updates; flag plugins that haven't been updated in >2 years as high-risk.

Detect if `/graphql` has introspection enabled, exposing the entire database schema to attackers.

Don't just flag a missing CSP; analyse the site's traffic and generate a *perfect* tailored CSP for the user.

Provide a "fake" admin login URL (e.g., `/shield-admin`) that triggers an instant SMS alert if any IP touches it.

For verified GitHub owners, automatically open a Pull Request to fix the `headers.ts` or `robots.txt` issue found in the scan.

Use AI to rewrite dry technical findings into an "Executive Summary" that a CEO can actually understand and act on.

AI predicts how many dev hours it will take to fix a specific vulnerability based on codebase complexity.

If `prowler-worker` finds a bad S3 policy, generate the exact HCL code to fix it in the user's infrastructure.

A specialized OpenClaw agent window inside the report where users can ask "How do I fix this in my specific Django setup?".

"If you fix [X] and [Y], your security score will jump from 42 to 85."

Automatically group 5 different tool outputs (Nuclei + Nikto + Nmap) into one single "Log4j" incident to prevent alert fatigue.

Automatically map every technical finding to a specific SOC2, HIPAA, or ISO27001 control.

An AI layer that reviews tool logs to determine if a finding is a legitimate threat or just a dev-environment quirk.

Short, AI-generated Loom-style videos showing a developer how to navigate to the specific setting to fix the bug.

Allow users to upload `docker-compose.yml` or `kube.yaml` for pre-deployment security checks.

Scrape for hardcoded AWS keys or Stripe secrets that look like test data but are actually live.

Instantly translate security reports into 12+ languages for global teams.

Fix vulnerabilities directly by clicking a button in a Slack notification.

Embed 1-minute "Security Lessons" into the report findings so developers learn *why* the fix matters.

AI "thinks" like an attacker and tries to chain 3 low-severity bugs into one high-severity "Kill Chain".

Every time a new major CVE drops, the AI automatically re-scans the entire user database to see who is vulnerable.

If a sitemap is missing, the scanner generates one and suggests it to the user (SEO + Security).

Visualizes which parts of the user's stack are most out-of-date.

Suggests which security fixes give the "Most ROI" for companies with limited dev resources.

Let users embed an "A-Grade Secure" badge on their site that links back to a public (authenticated) ShieldReport dashboard.

A public-facing page (e.g., `shieldreport.com/trust/my-company`) where customers can view a company's security posture.

"You are 15% more secure than other companies in the [Retail] sector."

A slider to view how a domain's security has improved (or worsened) over the last 12 months.

Comments and @mentions directly on specific findings for dev teams.

Let security agencies sell ShieldReport scans under their own brand/domain.

Let users upload their own brand colors and logo for the generated PDF reports.

Every action in the dashboard is available via a public API for enterprise integration.

One-click scan of the current tab direct from the browser.

Connect Google Search Console or Vercel to import 50+ domains instantly.

Data-driven email for owners summarizing their "Monthly Security Health".

Progress bars, XP, and levels for fixing vulnerabilities.

"Finance" can see billing, "Devs" see findings, "CTO" sees reports.

Visual view of when daily/weekly scans will trigger.

`/shield scan example.com` directly from the chat.

Fail a GitHub Action if ShieldReport finds a 'Critical' bug in a staging URL.

Bypasses the queue for immediate results during an active breach.

A visual representation of where in the world attacks on the user's domain are originating (if using `shannon-worker` logs).

Push notifications for critical threats.

A small add-on service that "locks" the domain CNAME if it detects a takeover attempt.

A dedicated SEO landing page for just checking CSP/X-Frame headers — the "gateway drug" to a full scan.

A public page showing real-time stats (anonymized) on the most common vulnerabilities found this week.

A massive internal library of "What is XSS?" pages that rank for security keywords.

"ShieldReport vs. Nessus vs. Snyk" SEO-optimised articles.

AI writes blog posts about newly found CVEs and how ShieldReport protects against them.

With user permission, generate a "How [Company] improved their security" case study.

Tool that ranks for SEO and encourages a site scan at the end.

A crawler that only checks if a sitemap is leaking private URLs.

Publicly indexable "Security Certificates" that link back to the platform.

AI generates a script for a tech-news podcast based on ShieldReport data.

A tool specifically for SEO agencies to check if a site's security is hurting its Google rank.

A bot that replies to mentions of hacks with a link to a free teaser scan.

Easy markdown snippet for READMEs.

A PR-friendly list that companies want to be on.

Combines Google PageSpeed with a security check.

Give influencers 20% of the recurring revenue for life.

SEOs love broken link checkers; use it to sneak in a security scan.

Helps CTOs justify the cost of the platform to the CFO.

For public repos that fix bugs found by ShieldReport.

Automatic generation of "Security Scorecard" slides for local tech meetups.

Free to scan, but pay £49 to unlock the "One-Click Fix" for a Critical vulnerability.

A one-time £199 professional review where a human pentester signs off on the AI scan.

A low-cost tier (£15/mo) that allows unlimited scans but only unlocks 3 findings per scan.

Monthly insurance-style add-on that provides a legal consultation if the user is breached.

A £499/mo tier that includes all documentation for SOC2 readiness.

50 scans per month to use across any domain, rather than per-domain billing.

Use the `shannon-worker` infra to actually block attacks for an extra £15/mo.

£1/mo for the first 3 months for companies with <£10k MRR.

£149 per repo to scan the actual code (not just the URL).

Continuous re-scanning every 4 hours + SMS alerts.

50% discount for agencies buying >100 domains.

Monitor employee emails for an extra £3/seat.

Fixed £10/mo for verified charities.

Scan the personal home Wi-Fi/IPs of C-suite executives.

Custom workers deployed inside the customer's own AWS/VPC.

£1 per 'Full Scan' + £10 base platform fee.

£349/mo for priority access to a human security researcher.

Users get credits for every new vulnerability they help the AI "learn".

Advanced decoy servers for an extra £50/mo.

Lifetime deal (LTD) for early adopters (£999 one-time).